2025-07-18

paper	code
fast variational block-sparse bayesian learning	fast-variational-block-sparse-bayesian-learning
robo-platform: a robotic system for recording sensors and controlling robots	robo-platform

2025-07-17

paper	code
embracing fairness in consumer electricity markets using an automatic market maker	consumption-characteriser
spark: a modular benchmark for humanoid robot safety	spark
geometric formulation of unified force-impedance control on se(3) for robotic manipulators	gufic_mujoco

2025-07-16

paper	code
few-shot radar signal recognition through self-supervised learning and radio frequency domain adaptation	radcharssl
gram-schmidt methods for unsupervised feature extraction and selection	gram_schmidt_feature_extraction

2025-07-15

paper	code
the bouc-wen model for binary direct collinear collisions of convex viscoplastic bodies	bwbcl
orthogonal projection-based regularization for efficient model augmentation	orthogonal-augmentation
gps-aided deep learning for beam prediction and tracking in uav mmwave communication	gpsbeam
enhancements to p4tg: protocols, performance, and automation	p4tg
rust barefoot runtime (rbfrt): fast runtime control for the intel tofino	rbfrt

2025-07-14

paper	code
qubitlens: an interactive learning tool for quantum state tomography	qubitlens
what should a neuron aim for? designing local objective functions based on information theory	infomorphic_networks

2025-07-11

paper	code
learning-based two-way communications: algorithmic framework and comparative analysis	twoway_models
information-driven design of imaging systems	encodinginformation

2025-07-09

paper	code
copula density neural estimation	codine-copula-estimator
a runtime-adaptive transformer neural network accelerator on fpgas	Transformer_on_FPGA
distributionally robust predictive runtime verification under spatio-temporal logic specifications	robust_spatio-temporal_predictive_runtime_verification
on data usage and predictive behavior of data-driven predictive control with 1-norm regularization	data-usage-dpc-1-norm

2025-07-08

paper	code
towards off-the-grid algorithms for total variation regularized inverse problems	tvsfw
iterative linear quadratic optimization for nonlinear control: differentiable programming algorithmic templates	ilqc
exact recovery of the support of piecewise constant images via total variation regularization	2023-support-recovery-tv
spatio-spectral structure tensor total variation for hyperspectral image denoising and destriping	spatio-spectral-structure-tensor-total-variation-for-hyperspectral-image-denoising-and-destriping
a hybrid systems framework for data-based adaptive control of linear time-varying systems	data-adaptive-et-c
accelerating ill-conditioned hankel matrix recovery via structured newton-like descent	HSNLD
event-based photometric bundle adjustment	epba
open-set gait recognition from sparse mmwave radar point clouds	OpenSetGaitRecognition_PCAA
a data-centric supervised transfer learning framework for doa estimation with array imperfections	doa_est_master
a statistical approach for synthetic eeg data generation	syntheticeeg
incremental firmware update over-the-air for low-power iot devices over lorawan	bpatch
a taxonomy and comparative analysis of ipv4 identifier selection correctness, security, and performance	IPIDSurvey-Code
data matters: the case of predicting mobile cellular traffic	datamatters
tinyml nlp scheme for semantic wireless sentiment classification with privacy preservation	tinyeco2ai-nlp
rf-3dgs: wireless channel modeling with radio radiance field and 3d gaussian splatting	rf-3dgs
coordinated spatial reuse scheduling with machine learning in ieee 802.11 mapc networks	csr

2025-07-04

paper	code
regression coefficient estimation from remote sensing maps	uncertainty-quantification
adaptive koopman model predictive control of simple serial robots	adaptive-koopman-mpc
gemid: generalizable models for iot device identification	GeMID

2025-07-03

paper	code
design tasks and their complexity for the european train control system with hybrid train detection	mtct
adaptive nad: online and self-adaptive unsupervised network anomaly detector	adaptive-nad
real-time aiot for aav antenna interference detection via edge-cloud collaboration	edgeant
contrastive learning and adversarial disentanglement for privacy-aware task-oriented semantic communication	clad

2025-07-02

paper	code
ecg-byte: a tokenizer for end-to-end generative electrocardiogram language modeling	ecg-byte
analogical learning for cross-scenario generalization: framework and application to intelligent localization	alloc
eclypse: a python framework for simulation and emulation of the cloud-edge continuum	eclypse

2025-07-01

paper	code
deep multi-manifold transformation based multivariate time series fault detection	code_usd
cough-e: a multimodal, privacy-preserving cough detection algorithm for the edge	Cough-E
quantifying the benefit of load uncertainty reduction for the design of district energy systems under grid constraints using the value of information	Building-Design-VoI
tensorconvolutionplus: a python package for distribution system flexibility area estimation	tensorconvolutionflexibility
a comparative study of human motion models in reinforcement learning algorithms for social robot navigation	Social-Navigation-PyEnvs
a deep learning-based supervised transfer learning framework for doa estimation with array imperfections	doa_est_master

2025-06-30

paper	code
knn-mmd: cross domain wireless sensing via local distribution alignment	KNN-MMD
near field localization via ai-aided subspace methods	AI-Subspace-Methods
scalable hypergraph structure learning with diverse smoothness priors	Scalable-Hypergraph-Structure-Learning-with-Diverse-Smoothness-Priors
benford's law from turing ensembles and integer partitions	benford-experiment

2025-06-27

paper	code
radio map estimation via latent domain plug-and-play denoising	LaPnP
one model to forecast them all and in entity distributions bind them	behavio-temporal-vae

2025-06-26

paper	code
design tasks and their complexity for the european train control system with hybrid train detection	mtct
physics-informed neural networks: a plug and play integration into power system dynamic simulations	pinns-plug-n-play-integration

2025-06-25

paper	code
distributionally robust receive combining	beamforming
on counterfactual interventions in vector autoregressive models	counterfactual_interventions
fully distributed and resilient source seeking for robot swarms	source_seeking
tangent space causal inference: leveraging vector fields for causal discovery in dynamical systems	tangentspaces
pglib-co2: a power grid library for computing and optimizing carbon emissions	pglib-co2

2025-06-24

paper	code
physics-informed multi-agent reinforcement learning for distributed multi-robot problems	phmarl
multi-agent soft actor-critic with coordinated loss for autonomous mobility-on-demand fleet control	hybridmadrl-amod-relocation
an unsupervised approach for periodic source detection in time series	unsupervised_periodicity_detection
enhancing glucose level prediction of icu patients through hierarchical modeling of irregular time-series	MITST
recursive gaussian process state space model	gpssmproj
automatic differentiation-based full waveform inversion with flexible workflows	ADFWI
a linear parameter-varying framework for the analysis of time-varying optimization algorithms	2024-tvopt-algorithm-analysis
informativity conditions for multiple signals: properties, experimental design, and applications	examples-for-cpe-conditions
the value of hedging against energy storage uncertainties when designing energy parks	Energy-Park-Design
conformal changepoint localization	conformal-change-localization
reliable vertical federated learning in 5g core network architecture	Reliable-VFL-in-5G-Core-NW-Arch
quark: implementing convolutional neural networks entirely on programmable data plane	quark-cnn-p4

2025-06-23

paper	code
koopman-hopf hamilton-jacobi reachability and control	hopfreachability
modeling epidemic spread: a gaussian process regression approach	gpr_epi_modeling
safe guaranteed exploration for non-linear systems	sagempc
state-augmented linear games with antagonistic error for high-dimensional, nonlinear hamilton-jacobi reachability	hopfreachability
semantic-aware resource allocation based on deep reinforcement learning for 5g-v2x hetnets	semantic-aware-resource-allocation-based-on-deep-reinforcement-learning-for-5g-v2x-hetnets
deep-reinforcement-learning-based aoi-aware resource allocation for ris-aided iov networks	ris-rb-aoi-v2x-drl
reconfigurable intelligent surface assisted vec based on multi-agent reinforcement learning	ris-vec-marl
a new framework for nonlinear kalman filters	a-new-framework-for-nonlinear-kalman-filters
joint optimization of age of information and energy consumption in nr-v2x system based on deep reinforcement learning	joint-optimization-of-aoi-and-energy-consumption-in-nr-v2x-system-based-on-drl
dsp-mlir: a mlir dialect for digital signal processing	DSP_MLIR
response surface methodology coupled with desirability functions for multi-objective optimization: minimizing indoor overheating hours and maximizing useful daylight illuminance	rsm-thermal-daylight-optimization
little to lose: the case for a robust european green hydrogen strategy	eu-hydrogen
multi-agent multi-armed bandits with minimum reward guarantee fairness	Fair-MAMAB
autobargesim: matlab(r) toolbox for the design and analysis of the guidance and control system for autonomous inland vessels	autobargesim
a statistical evaluation of indoor lorawan environment-aware propagation for 6g: mlr, anova, and residual distribution analysis	EnviKal-Loc
enhanced trust region sequential convex optimization for multi-drone thermal screening trajectory planning in urban environments	enhanced-tr-sco
a low-cost portable lidar-based mobile mapping system on an android smartphone	marslogger_android
end-to-end learning of probabilistic constellation shaping through importance sampling	e2e-pcs-through-importance-sampling
sparsedpd: a sparse neural network-based digital predistortion fpga accelerator for rf power amplifier linearization	sparsedpd
evaluating the impact of model accuracy for optimizing battery energy storage systems	bess-opt-benchmark
cross-modal epileptic signal harmonization: frequency domain mapping quantization for pre-training a unified neurophysiological transformer	epint
judo: a user-friendly open-source package for sampling-based model predictive control	judo
resource allocation for twin maintenance and computing task processing in digital twin vehicular edge computing network	resource-allocation-for-twin-maintenance-and-computing-tasks-in-digital-twin-mobile-edge-network
drl-based federated self-supervised learning for task offloading and resource allocation in isac-enabled vehicle edge computing	federated-ssl-task-offloading-and-resource-allocation
optimizing age of information in internet of vehicles over error-prone channels	blockchain-enabled-variational-information-bottleneck-for-minimizing-aoi-in-iov
effective application of normalized min-sum decoding for short bch codes	Short_BCH_Decoding_OSD
how breakable is privacy: probing and resisting model inversion attacks in collaborative inference	SiftFunnel
benford's law from turing ensembles and integer partitions	benford-experiment
the maximum-average subtensor problem: equilibrium and out-of-equilibrium properties	maximum-avg-subtensors
safer-d: a self-adaptive security framework for distributed computing architectures	ecsa25_safer-d_uc-1

2025-06-19

paper	code
bayesian kalmannet: quantifying uncertainty in deep learning augmented kalman filter	Uncertainty-extraction-in-Model-Based-DL
enforcing contraction via data	codes-for-contraction-paper
large language model-informed ecg dual attention network for heart failure risk prediction	LLM-ECG-Dual-Attention
reconfigurable intelligent surface aided vehicular edge computing: joint phase-shift optimization and multi-user power allocation	DDPG-RIS-MADDPG-POWER
energydiff: universal time-series energy data generation using diffusion models	energydiff-pub
cissir: beam codebooks with self-interference reduction guarantees for integrated sensing and communication beyond 5g	cissir
graph neural networks for jamming source localization	gnn-jamming-source-localization
secure time-modulated intelligent reflecting surface via generative flow networks	gfn4tm-ris
digital twin vehicular edge computing network: task offloading and resource allocation	digital-twin-vehicular-edge-computing-network_task-offloading-and-resource-allocation
drl-based resource allocation for motion blur resistant federated self-supervised learning in iov	drl-bfssl
drl-based optimization for aoi and energy consumption in c-v2x enabled iov	drl-based-optimization-for-information-of-age-and-energy-consumption-in-c-v2x-enabled-iov

2025-06-18

paper	code
a domain-knowledge-inspired music embedding space and a novel attention mechanism for symbolic music modeling	fundamentalmusicembedding
arraydps: unsupervised blind speech separation with a diffusion prior	arraydps
spectral derivatives	spectral-derivatives
hybrid meta-learning framework for anomaly forecasting in nonlinear dynamical systems via physics-inspired simulation and deep ensembles	AFoA
quadrotor morpho-transition: learning vs model-based control strategies	isaaclab
extracting transient koopman modes from short-term weather simulations with sparsity-promoting dynamic mode decomposition	transient-weather-modes-spdmd
barrier method for inequality constrained factor graph optimization with application to model predictive control	bipm_g2o
opseval: a comprehensive it operations benchmark suite for large language models	opseval-datasets
sok: advances and open problems in web tracking	sok-advances-open-problems-web-tracking

2025-06-17

paper	code
dynamic structured illumination microscopy with a neural space-time model	SpeckleFlowSIM
forming and controlling hitches in midair using aerial robots	forming-hitches
spatio-spectral structure tensor total variation for hyperspectral image denoising and destriping	spatio-spectral-structure-tensor-total-variation-for-hyperspectral-image-denoising-and-destriping
efficient estimation of relaxed model parameters for robust uav trajectory optimization	parameter-affine-relaxation
probabilistic gospa: a metric for performance evaluation of multi-object filters with uncertainties	probabilistic-gospa
vanishing stacked-residual pinn for state reconstruction of hyperbolic systems	stackedresidualpinn
reliable vertical federated learning in 5g core network architecture	Reliable-VFL-in-5G-Core-NW-Arch
federated learning assisted edge caching scheme based on lightweight architecture ddpm	federated-learning-assisted-edge-caching-scheme-based-on-lightweight-architecture-ddpm
functional multi-reference alignment via deconvolution	fmra
anira: an architecture for neural network inference in real-time audio applications	anira
helena: high-efficiency learning-based channel estimation using dual neural attention	helena_channel_estimation
infrastructure-free, deep learned urban noise monitoring at $\sim$100mw	sonyc-mkii
graph neural networks and deep reinforcement learning based resource allocation for v2x communications	gnn-and-drl-based-resource-allocation-for-v2x-communications
enhanced sps velocity-adaptive scheme: access fairness in 5g nr v2i networks	enhanced-sps-velocity-adaptivescheme-access-fariness-in-5g-nr-v2i-networks
ppo-based vehicle control for ramp merging scheme assisted by enhanced c-v2x	ppo-based-vehicle-control-for-ramp-merging-scheme-assisted-by-enhanced-c-v2x
latency optimization for wireless federated learning in multihop networks	multihop_fl
zero-shot denoising via neural compression: theoretical and algorithmic framework	zs-ncdenoiser

2025-06-16

paper	code
the icassp sp cadenza challenge: music demixing/remixing for hearing aids	clarity
control industrial automation system with large language model agents	llm4ias
assessing the optimistic bias in the natural inflow forecasts: a call for model monitoring in brazil	inflowforecastbias_data
real-time aiot for uav antenna interference detection via edge-cloud collaboration	edgeant
parametrizations of all stable closed-loop responses: from theory to neural network control design	outputSLS
lessons learned from field demonstrations of model predictive control and reinforcement learning for residential and commercial hvac: a review	field-demonstrations-of-mpc-and-rl-for-residential-and-commecial-hvac
interior point differential dynamic programming, redux	interiorpointddp.jl
policy gradient adaptive control for the lqr: indirect and direct approaches	policy-gradient-adaptive-control
vectorized sparse second-order forward automatic differentiation for optimal control direct methods	pockit
recursive kalmannet: deep learning-augmented kalman filtering for state estimation with consistent uncertainty quantification	RecursiveKalmanNet
diffusion-based electrocardiography noise quantification via anomaly detection	ECGNoiseQuantification
development of a smart autonomous irrigation system using iot and ai	Graduation-Project

2025-06-13

paper	code
east: environment aware safe tracking using planning and control co-design	erl_east
beamforming optimization for continuous aperture array (capa)-based communications	beamforming-optimization-for-continuous-aperture-array-based-communications
learning-based stable optimal control for infinite-time nonlinear regulation problems	papernorc
automated validation of textual constraints against automationml via llms and shacl	aml-shacl
iotgem: generalizable models for behaviour-based iot attack detection	IoTGeM

2025-06-12

paper	code
protect: parallelized construction of safety barrier certificates for nonlinear polynomial systems	protect
terime: an improved rime algorithm with enhanced exploration and exploitation for robust parameter extraction of photovoltaic models	terime
system identification under bounded noise: optimal rates beyond least squares	Bounded-Noise-SysID-Minimax-Lowerbound
occlusion-aware ground target tracking by a dubins vehicle using visibility volumes	DubinsVisibilityTracking
integration of contrastive predictive coding and spiking neural networks	ongorusel-kodlama
a saddle point algorithm for robust data-driven factor model problems	factor_model
the causal information bottleneck and optimal causal variable abstractions	cib-optimization-psagd

2025-06-11

paper	code
over-the-air learning-based geometry point cloud transmission	SEPT
identifiable specializations for ode models	identifiable-specializations-for-ode-models
building resilience in wireless communication systems with a secret-key budget	power-control-resilience-secret-key-budget
little to lose: the case for a robust european green hydrogen strategy	eu-hydrogen
physics-based battery model parametrisation from impedance data	pybop
lite-rvfl: a lightweight random vector functional-link neural network for learning under concept drift	lite-rvfl
dekc: data-enable control for tethered space robot deployment in the presence of uncertainty via koopman operator theory	dekc
time-aware world model for adaptive prediction and control	time-aware-world-model
normalized radon cumulative distribution transforms for invariance and robustness in optimal transport based image classification	nr-cdt
infodpcca: information-theoretic dynamic probabilistic canonical correlation analysis	infodpcca

2025-06-10

paper	code
decoupled data consistency with diffusion purification for image restoration	decoupled-data-consistency-with-diffusion-purification-for-image-restoration
a structurally coherent spatial phase estimate	ssvm2025
flp-xr: future location prediction on extreme scale maritime data in real-time	FLP-XR
enhancing contrastive learning-based electrocardiogram pretrained model with patient memory queue	PMQ
composite reward design in ppo-driven adaptive filtering	rl_signal_filtering
lower bounds on information requirements for causal network inference	net-inf-eval
maximum likelihood estimation of optimal receiver operating characteristic curves from likelihood ratio observations	mleroc
edge-enabled collaborative object detection for real-time multi-vehicle perception	Edge-CAV
learned off-grid imager for low-altitude economy with cooperative isac network	LAEImager

2025-06-09

paper	code
design tasks and their complexity for the european train control system with hybrid train detection	mtct
unidb: a unified diffusion bridge framework via stochastic optimal control	unidb

2025-06-06

paper	code
remote tube-based mpc for tracking over lossy networks	robust-tracking-mpc-over-lossy-networks
self-tuning spectral clustering for speaker diarization	sc-pna
ledro: llm-enhanced design space reduction and optimization for analog circuits	LEDRO
learning two-agent motion planning strategies from generalized nash equilibrium for model predictive control	Implicit-Game-Theoretic-MPC
an open source validation system for continuous arterial blood pressure measuring sensors	cam-bpw-sim-hardware
analytical lyapunov function discovery: an rl-based generative approach	analytical-lyapunov-function-discovery
control pneumatic soft bending actuator with online learning pneumatic physical reservoir computing	Online-Learning-RC-Control-RoboSoft2025
federated learning assisted edge caching scheme based on lightweight architecture ddpm	federated-learning-assisted-edge-caching-scheme-based-on-lightweight-architecture-ddpm
intelligent channel allocation for ieee 802.11be multi-link operation: when mab meets llm	mloandmcts
agentic ai for intent-based industrial automation	talk-to-your-factory
robust outlier detection method based on local entropy and global density	edrod
unveiling voices: a co-hashtag analysis of tiktok discourse on the 2023 israel-palestine crisis	gaza-tiktok
bear: bgp event analysis and reporting	bear_bgp_event_analysis

2025-06-05

paper	code
learning tube-certified control using robust contraction metrics	nnrccm
self-supervised autoencoder network for robust heart rate extraction from noisy photoplethysmogram: applying blind source separation to biosignal analysis	meae-heart-rate-extraction-from-noisy-ppg
exploring sparsity for parameter efficient fine tuning using wavelets	sparse_peft
graph neural networks for jamming source localization	gnn-jamming-source-localization
occlusion-aware ground target tracking by a dubins vehicle using visibility volumes	DubinsVisibilityTracking
zipnn: lossless compression for ai models	zipnn
netpress: dynamically generated llm benchmarks for network applications	netpress

2025-06-04

paper	code
predictable reinforcement learning dynamics through entropy rate minimization	parl
singing voice graph modeling for singfake detection	singgraph
hbs -- hardware build system: a tcl-based, minimal common abstraction approach for build system for hardware designs	hbs
online learning for function placement in serverless computing	dynamic_virtual_network_placement

2025-06-03

paper	code
eispy2d: an open-source python library for the development and comparison of algorithms in two-dimensional electromagnetic inverse scattering problems	eispy2d
improving galileo osnma time to first authenticated fix	osnma
on zero-shot learning in neural state estimation of power distribution systems	nse-tl-paper
end-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic data	2024-bilinear-end-to-end
koopman-based control of nonlinear systems with closed-loop guarantees	safedmd-sos
the value of hedging against energy storage uncertainties when designing energy parks	Energy-Park-Design
particle gibbs without the gibbs bit	m-pgibbs
a comparative study of smt and milp for the nurse rostering problem	nrp-genericconstraints
alpcahus: subspace clustering for heteroscedastic data	alpcahus

2025-05-30

paper	code
global tensor motion planning	gtmp
robustness-enhanced myoelectric control with gan-based open-set recognition	paper_code_robustness_enhanced_myoelectric_control
an unsupervised method for mri recovery: deep image prior with structured sparsity	discus
concurrent composition for interactive differential privacy with adaptive privacy-loss parameters	concurrent-composition
promptus: can prompts streaming replace video streaming with stable diffusion	Promptus
surveying the space of descriptions of a composite system with machine learning	description_space

2025-05-29

paper	code
communication- and computation-efficient distributed submodular optimization in robot mesh networks	resource-aware-coordination-airsim
boxr: body and head motion optimization framework for extended reality	boxr
multi-task deep-learning for sleep event detection and stage classification	sleep-events-detection
unidb: a unified diffusion bridge framework via stochastic optimal control	unidb
learning-based mpc for fuel efficient control of autonomous vehicles with discrete gear selection	mpcrl-vehicle-gears
on data usage and predictive behavior of data-driven predictive control with 1-norm regularization	data-usage-dpc-1-norm
hybrid learning for cold-start-aware microservice scheduling in dynamic edge environments	CSDCRMDE
data-driven control of continuous-time lti systems via non-minimal realizations	continuous-time_data-driven_control
synonymous variational inference for perceptual image compression	SynonymousImageCompression

2025-05-28

paper	code
dymag: rethinking message passing using dynamical-systems-based waveforms	dymag
advanced signal analysis in detecting replay attacks for automatic speaker verification systems	adfa
es-ptam: event-based stereo parallel tracking and mapping	es-ptam
flexible multi-beam synthesis and directional suppression through transmissive ris	RIS_BeamAllocation
diffusion predictive control with constraints	dpcc
resampling filter design for multirate neural audio effect processing	resampling_neural_afx
policy design for two-sided platforms with participation dynamics	dynamics-two-sided-market
benchmarking spatiotemporal reasoning in llms and reasoning models: capabilities and challenges	stark_benchmark
u-sam: an audio language model for unified speech, audio, and music understanding	u-sam
joint magnetometer-imu calibration via maximum a posteriori estimation	mag-imu-jointcalibration
improving generative inverse design of rectangular patch antennas with test time optimization	patch-antenna-tto
flowse: efficient and high-quality speech enhancement via flow matching	flowse
zv-sim: probabilistic simulation framework for pre-emergent novel zoonose tracking	zv-sim
opennirscap: an open-source, low-cost wearable near-infrared spectroscopy-based brain interfacing cap	fnirs
dual-polarization stacked intelligent metasurfaces for holographic mimo	dual_polarization_stacked_intelligent_metasurfaces_for_holographic_mimo
uncertainty partitioning with probabilistic feasibility and performance guarantees for chance-constrained optimization	partition-control-pwa
a domain adaptation neural network for digital twin-supported fault diagnosis	Digital-Twin-Fault-Diagnosis
wideband rf radiance field modeling using frequency-embedded 3d gaussian splatting	wideband3dgs

2025-05-27

paper	code
you can wash hands better: accurate daily handwashing assessment with a smartwatch	uwash
safety guarantees for neural network dynamic systems via stochastic barrier functions	neuralnetcontrolbarrier
telecomtm: a fine-grained and ubiquitous traffic monitoring system using pre-existing telecommunication fiber-optic cables as sensors	TelecomTM
distortion resilience for goal-oriented semantic communication	drgo-semcom
comparison analysis between standard polysomnographic data and in-ear-eeg signals: a preliminary study	in_ear_eeg_vs_psg
traffic signal cycle control with centralized critic and decentralized actors under varying intervention frequencies	CCDA-Light
modulated differentiable stft and balanced spectrum metric for freight train wheelset bearing cross-machine transfer monitoring under speed fluctuations	PyDSN
semantic-aware resource management for c-v2x platooning via multi-agent reinforcement learning	semantic-aware-resource-management-for-c-v2x-platooning-via-multi-agent-reinforcement-learning
a real-world energy management dataset from a smart company building for optimization and machine learning	MonitoringDatasetAnalysis
adaptive sensor steering strategy using deep reinforcement learning for dynamic data acquisition in digital twins	DT-SS
evaluation in eeg emotion recognition: state-of-the-art review and unified framework	eegain
eotnet: deep memory aided bayesian filter for extended object tracking	eotnet
discrete gradient methods for port-hamiltonian differential-algebraic equations	phdae_discrete_gradients
supermartingale certificates for quantitative omega-regular verification and control	omega-regular-stoch-cert
alpcahus: subspace clustering for heteroscedastic data	alpcahus
towards a spatiotemporal fusion approach to precipitation nowcasting	fusion2025
lla-mpc: fast adaptive control for autonomous racing	lla-mpc
synchronous models and fundamental systems in observer design	synchronous_vaa
mel-mcnet: a mel-scale framework for online multichannel speech enhancement	mel-mcnet
synthetic time series forecasting with transformer architectures: extensive simulation benchmarks	compactformer
exploring quic dynamics: a large-scale dataset for encrypted traffic analysis	VisQUIC
pcodec: better compression for numerical sequences	pcodec
task-oriented communications for visual navigation with edge-aerial collaboration in low altitude economy	TOC-Edge-Aerial
recursive offloading for llm serving in multi-tier networks	recserve
think or not? exploring thinking efficiency in large reasoning models via an information-theoretic lens	think-or-not
efficient online random sampling via randomness recycling	randomness-recycling

2025-05-26

paper	code
concept-based explainability for an eeg transformer model	tcav-bendr
conformal robust control of linear systems	crc
koopman operators in robot learning	koopmanOperatorsInRobotLearning
speed: scalable preprocessing of eeg data for self-supervised learning	speed
sindyg: sparse identification of nonlinear dynamical systems from graph-structured data	SINDyG
comparing differentiable and dynamic ray tracing: introducing the multipath lifetime map	DiffeRT
safe pde boundary control with neural operators	safe-pde-control
open-set gait recognition from sparse mmwave radar point clouds	OpenSetGaitRecognition_PCAA
swapped logit distillation via bi-level teacher alignment	Swapped-Logit-Distillation
gps-aided deep learning for beam prediction and tracking in uav mmwave communication	gpsbeam
efficient compression of neural networks and datasets	efficient-compression

2025-05-23

paper	code
robo-platform: a robotic system for recording sensors and controlling robots	robo-platform
choose wisely: data-driven predictive control for nonlinear systems using online data selection	choose-wisely-paper
partition-wise graph filtering: a unified perspective through the lens of graph coarsening	cpf
beamforming-codebook-aware channel knowledge map construction for multi-antenna systems	transunet
unsupervised network anomaly detection with autoencoders and traffic images	image-based-network-traffic-anomaly-detection
chirp delay-doppler domain modulation: a new paradigm of integrated sensing and communication for autonomous vehicles	2025-ieee-network-chirpdelaydopplermodulationisac
reinwifi: application-layer qos optimization of wifi networks with reinforcement learning	ReinWiFi
network intrusion datasets: a survey, limitations, and recommendations	nid-datasets
blank space: adaptive causal coding for streaming communications over multi-hop networks	MH_NC

2025-05-22

paper	code
deep policy gradient methods without batch updates, target networks, or replay buffers	avg
weakly supervised convolutional dictionary learning for multi-label classification	WSCDL
vanishing stacked-residual pinn for state reconstruction of hyperbolic systems	stackedresidualpinn
reliable vertical federated learning in 5g core network architecture	Reliable-VFL-in-5G-Core-NW-Arch
certified neural approximations of nonlinear dynamics	certified-neural-approximations
infomeasure: a comprehensive python package for information theory measures and estimators	infomeasure
laplace sample information: data informativeness through a bayesian lens	LSI

2025-05-21

paper	code
diffusion-based failure sampling for evaluating safety-critical autonomous systems	difs
electrocardiogram-based diagnosis of liver diseases: an externally validated and explainable machine learning approach	cardiodiag
racnn: residual attention convolutional neural network for near-field channel estimation in 6g wireless communications	RACNN
on-device llm for context-aware wi-fi roaming	on-device-llm-wifi-roaming
whitened score diffusion: a structured prior for imaging inverse problems	wsdiffusion
incremental firmware update over-the-air for low-power iot devices over lorawan	bpatch
efficient configuration-constrained tube mpc via variables restriction and template selection	efficientcctmpc
a quick primer on machine learning in wireless communications	eesc7v86-fall22
an early warning system for emerging markets	ews_condent
open5gcube: a modular and usable framework for mobile network laboratories	open5gcube
a5/1 is in the air: passive detection of 2g (gsm) ciphering algorithms	gsm-cipher-sensor
cryptocurrencies in the balance sheet: insights from (micro)strategy -- bitcoin interactions	crypto_balance_sheets

2025-05-20

paper	code
you can wash hands better: accurate daily handwashing assessment with a smartwatch	uwash
sensing-enhanced channel estimation for near-field xl-mimo systems	sensing-ce-xlmimo
modeling nonlinear oscillator networks using physics-informed hybrid reservoir computing	hybrid_rc_for_nlons_paper_code
on the surprising effectiveness of spectrum clipping in learning stable linear dynamics	spec_clip
decoding human attentive states from spatial-temporal eeg patches using transformers	eeg-patchformer
system identification under bounded noise: optimal rates beyond least squares	Bounded-Noise-SysID-Minimax-Lowerbound
arraydps: unsupervised blind speech separation with a diffusion prior	arraydps
a comprehensive data description for lorawan path loss measurements in an indoor office setting: effects of environmental factors	LoRaWAN-Indoor-PathLoss-Dataset-IEEEACCESS
topology-driven identification of repetitions in multi-variate time series	paper-2025-idsc-topology-driven-identification-of-repetitions-in-multi-variate-time-series
data-driven model predictive control using matlab	d-mpc-matlab
benchmarking spatiotemporal reasoning in llms and reasoning models: capabilities and challenges	stark_benchmark
t-rex: fitting a robust factor model via expectation-maximization	T-Rex-EM
multi-calf: a policy combination approach with statistical guarantees	multi-calf
adaptive mpc-based quadrupedal robot control under periodic disturbances	quad-periodic-mpc
exploring sparsity for parameter efficient fine tuning using wavelets	sparse_peft
robust reinforcement learning-based locomotion for resource-constrained quadrupeds with exteroceptive sensing	elmap-rl-controller
the role of data partitioning on the performance of eeg-based deep learning models in supervised cross-subject analysis: a preliminary study	eegpartition
lightweight transformer via unrolling of mixed graph algorithms for traffic forecast	unrolling-gsp-stforecast
output behavior equivalence and simultaneous subspace identification of systems and faults	fault_id
scalable exploration via ensemble++	ensemble_plus_plus
autobs: autonomous base station deployment with reinforcement learning and digital network twins	autobs
xisort: deterministic sorting via ieee-754 total ordering and entropy minimization	xisort
cgreplay: capture and replay of cloud gaming traffic for qoe/qos assessment	cgreplay
behavior synthesis via contact-aware fisher information maximization	contact_aware_active_learning

2025-05-19

paper	code
toward foundation model for multivariate wearable sensing of physiological signals	normwear
clustering rooftop pv systems via probabilistic embeddings	entity-clustering
learning multimodal ai algorithms for amplifying limited user input into high-dimensional control space	aras
zero-shot statistical tests for llm-generated text detection using finite sample concentration inequalities	llm-text-detection
sok: decoding the enigma of encrypted network traffic classifiers	ntc-enigma
approximation-first timeseries monitoring query at scale	promsketch

2025-05-16

paper	code
exploring best practices for ecg pre-processing in machine learning	ecg_augmentation
regression coefficient estimation from remote sensing maps	uncertainty-quantification
hierarchical learning and computing over space-ground integrated networks	hierlc
an unsupervised method for mri recovery: deep image prior with structured sparsity	discus
interference prediction using gaussian process regression and management framework for critical services in local 6g networks	gpr-ieeewcnc2025
certifying lyapunov stability of black-box nonlinear systems via counterexample guided synthesis (extended version)	pricely
optimizing power grid topologies with reinforcement learning: a survey of methods and challenges	rl4pnc-survey
large wireless localization model (lwlm): a foundation model for positioning in 6g networks	lwlm
quad-lcd: layered control decomposition enables actuator-feasible quadrotor trajectory planning	Quad-LCD
a comparative study of smt and milp for the nurse rostering problem	nrp-genericconstraints
a hybrid strategy for aggregated probabilistic forecasting and energy trading in heftcom2024	heftcom24
a quantum of quic: dissecting cryptography with post-quantum insights	quic-crypto-paper
toward universal decoding of binary linear block codes via enhanced polar transformations	enhanced-polar-decoding
multi-objective hyperparameter selection via hypothesis testing on reliability graphs	rg-pt

2025-05-15

paper	code
rf challenge: the data-driven radio frequency signal separation challenge	rfchallenge_singlechannel_starter
aging-aware battery control via convex optimization	aging_aware_battery_control
reach-avoid-stabilize using admissible control sets	CDC2025_RAS
adafortitran: an adaptive transformer model for robust ofdm channel estimation	adafortitran
treet: transfer entropy estimation via transformers	treet
optimized couplings for watermarking large language models	cc_watermark
rag-enabled intent reasoning for application-network interaction	RAG-Enabled-Intent-Reasoning-for-Application-Network-Interaction
instant aoi optimization through relay location selection in disaster multi-hop communication	relaylocation

2025-05-14

paper	code
signal temporal logic control synthesis among uncontrollable dynamic agents with conformal prediction	stl-synthesis-among-uncontrollable-agents
qubitlens: an interactive learning tool for quantum state tomography	qubitlens
constrained factor graph optimization for robust networked pedestrian inertial navigation	constrained-zupt-fgo
governance of ledger-anchored decentralized identifiers	DID-IDM
coordinated spatial reuse scheduling with machine learning in ieee 802.11 mapc networks	csr
token communication-driven multimodal large models in resource-constrained multiuser networks	TokCom-MLMs
closed-form information capacity of canonical signaling models	capacity-of-canonical-models

2025-05-13

paper	code
automated fuzzing of automotive control units	caringcaribou
the pump scheduling problem: a real-world scenario for reinforcement learning	pumpscheduling
optimization-based outlier accommodation for tightly coupled rtk-aided inertial navigation systems in urban environments	UrbanRTK-INS-OutlierOpt
dc is all you need: describing relu from a signal processing standpoint	relu_dc_is_all_you_need
crossfi: a cross domain wi-fi sensing framework based on siamese network	CrossFi
neural predictor for flight control with payload	neural-predictor
estimation-aware trajectory optimization with set-valued measurement uncertainties	obs_aware_opt
lightsnn: lightweight architecture search for sparse and accurate spiking neural networks	LightSNN
particle gibbs without the gibbs bit	m-pgibbs
spectrumfm: a foundation model for intelligent spectrum management	SpectrumFM
distributionally robust contract theory for edge aigc services in teleoperation	dro-contract-theory
secure safety filter design for sampled-data nonlinear systems under sensor spoofing attacks	ssf_nonlinear_systems
secure safety filter: towards safe flight control under sensor attacks	px4-secure-state-reconstruction
optiks: optimized gradient properties through timing in k-space	optiks
alpcah: subspace learning for sample-wise heteroscedastic data	alpcah
learning quasi-lpv models and robust control invariant sets with reduced conservativeness	con-qlpv
wireless link scheduling with state-augmented graph neural networks	sagnn

2025-05-12

paper	code
generalizable sleep staging via multi-level domain alignment	sleepdg
greenlight-gym: reinforcement learning benchmark environment for control of greenhouse production systems	GreenLight-Gym2
gnn-dt: graph neural network enhanced decision transformer for efficient optimization in dynamic environments	dt4evs
cardioformer: advancing ai in ecg analysis with multi-granularity patching and resnet	cardioformer
unsupervised blind speech separation with a diffusion prior	arraydps
planet as a brain: towards internet of agentsites based on aios server	aios

2025-05-09

paper	code
deep optimal transport for domain adaptation on spd manifolds	deep-optimal-transport-for-domain-adaptation-on-spd-manifolds
fast whole-body strain regulation in continuum robots	dcm
symbolic and user-friendly geometric algebra routines (sugar) for computations in matlab	sugar
c-morl: multi-objective reinforcement learning through efficient discovery of pareto front	c-morl
efficient estimation of relaxed model parameters for robust uav trajectory optimization	parameter-affine-relaxation
embedded system for recording and controlling hand hygiene in healthcare environments	torneiraiot
physics-informed sylvester normalizing flows for bayesian inference in magnetic resonance spectroscopy	snfs-for-bayesian-inference-in-mrs
comparative study of generative models for early detection of failures in medical devices	Fault-Detection-on-Surgical-Stapler-
enhanced robust tracking control: an online learning approach	online_ccm
lapso: a unified optimization view for learning-augmented power system operations	lapso_exp
approximation-free control for signal temporal logic specifications using spatiotemporal tubes	stl_stt
from sleep staging to spindle detection: evaluating end-to-end automated sleep analysis	sumov2
guaranteed recovery of unambiguous clusters	Minimal-Seed-Expansion
reinforcement learning-aided design of efficient polarization kernels	alphapolar
cross-problem solving for network optimization: is problem-aware learning the key?	pad

2025-05-08

paper	code
leader-follower density control of spatial dynamics in large-scale multi-agent systems	leader_follower_density_control
on-device llm for context-aware wi-fi roaming	on-device-llm-wifi-roaming
consensus-aware av behavior: trade-offs between safety, interaction, and performance in mixed urban traffic	consensus-av-analysis

2025-05-07

paper	code
sensor-based distributionally robust control for safe robot navigation in dynamic environments	DR_Safe_Navigation
ttt: a temporal refinement heuristic for tenuously tractable discrete time reachability problems	OVERTVerify.jl
radarode: an ode-embedded deep learning model for contactless ecg reconstruction from millimeter-wave radar	radarODE-MTL
radarode-mtl: a multi-task learning framework with eccentric gradient alignment for robust radar-based ecg reconstruction	radarODE-MTL
ai-aided kalman filters	ai_aided_kfs
calibrefine: deep learning-based online automatic targetless lidar-camera calibration with iterative and attention-driven post-refinement	Lidar_Camera_Automatic_Calibration
survival analysis with machine learning for predicting li-ion battery remaining useful life	RUL
learning-based homothetic tube mpc	learning-based-homothetic-tube-mpc
optimal droop control strategy for coordinated voltage regulation and power sharing in hybrid ac-mtdc systems	pmacdc-hd
a comprehensive survey of large ai models for future communications: foundations, applications and challenges	comlam

2025-05-06

paper	code
exploring challenges in deep learning of single-station ground motion records	mage
backpropagation through space, time, and the brain	gle-code
adaptive anomaly detection in network flows with low-rank tensor decompositions and deep unrolling	unrolled-tbsca-ad
freezing of gait detection using gramian angular fields and federated learning from wearable sensors	fogsense
an analysis of safety guarantees in multi-task bayesian optimization	2025-code-an-analysis-of-safety-guarantees-in-multi-task-bayesian-optimization
data-driven reachability analysis for piecewise affine systems	reachability-analysis-of-PWA-systems
mind2matter: creating 3d models from eeg signals	mind2matter
real-time, single-ear, wearable ecg reconstruction, r-peak detection, and hr/hrv monitoring	deepmf-mini
inverse modeling of dielectric response in time domain using physics-informed neural networks	inverse-DR
a real-time control barrier function-based safety filter for motion planning with arbitrary road boundary constraints	sigmarl
quadrupedal spine control strategies: exploring correlations between system dynamic responses and human perspectives	ester
minimal algorithmic information loss methods for dimension reduction, feature selection and network sparsification	Network-Robustness-by-Kolmogorov-Complexity
workflow optimization for parallel split learning	sfl-workflow-optimization
tele-llms: a series of specialized large language models for telecommunications	tele-llms
gdsg: graph diffusion-based solution generator for optimization problems in mec networks	gdsg

2025-05-05

paper	code
uncertainty-aware bayes' rule and its applications	bayes-rule
leveraging symmetry to accelerate learning of trajectory tracking controllers for free-flying robotic systems	eqtrackingcontrol
learning-based mpc for fuel efficient control of autonomous vehicles with discrete gear selection	mpcrl-vehicle-gears
model tensor planning	mtp
wirelessagent: large language model agents for intelligent wireless networks	wirelessagent_r1
task-oriented communications for visual navigation with edge-aerial collaboration in low altitude economy	TOC-Edge-Aerial

2025-05-02

paper	code
enhancing clinical decision support with physiological waveforms -- a multimodal benchmark in emergency care	mds-ed
multi-objective reinforcement learning for power grid topology control	topgrid_morl
rejuvenating irs: aoi-based low overhead reconfiguration design	irs_rejuvenation
conformal changepoint localization	conformal-change-localization
fool: addressing the downlink bottleneck in satellite computing with neural feature compression	the-fool
recursive kl divergence optimization: a dynamic framework for representation learning	RKDO-recursive-kl-divergence-optimization

2025-05-01

paper	code
sustaindc: benchmarking for sustainable data center control	dc-rl
estimation-aware trajectory optimization with set-valued measurement uncertainties	obs_aware_opt
fast online adaptive neural mpc via meta-learning	MetaResidual-MPC
lossless data compression by large models	medal
r-acp: real-time adaptive collaborative perception leveraging robust task-oriented communications	R-ACP

2025-04-30

paper	code
trading off regional and overall energy system design flexibility in the net-zero transition	enabling-agency
robust beamforming for ris-aided communications: gradient-based manifold meta learning	GMML
radarode: an ode-embedded deep learning model for contactless ecg reconstruction from millimeter-wave radar	radarODE-MTL
statistical channel based low-complexity rotation and position optimization for 6d movable antennas enabled wireless communication	6DMA-SCI
neuromorphic wireless split computing with multi-level spikes	neurocomm-msnn

2025-04-29

paper	code
a weight-aware-based multi-source unsupervised domain adaptation method for human motion intention recognition	WMDD
leader-follower density control of spatial dynamics in large-scale multi-agent systems	leader_follower_density_control
radarode-mtl: a multi-task learning framework with eccentric gradient alignment for robust radar-based ecg reconstruction	radarODE-MTL
uncovering process noise in ltv systems via kernel deconvolution	StateNoisePDFIdentification
asap: aligning simulation and real-world physics for learning agile humanoid whole-body skills	asap
mvcnet: multi-view contrastive network for motor imagery classification	MCNet
survival analysis with machine learning for predicting li-ion battery remaining useful life	RUL
unifying summary statistic selection for approximate bayesian computation	summaries
estimating the number of http/3 responses in quic using deep learning	VisQUIC
blank space: adaptive causal coding for streaming communications over multi-hop networks	MH_NC
performance analysis of openvpn on a consumer grade router	openvpn_casestudy_data

2025-04-28

paper	code
deep optimal transport for domain adaptation on spd manifolds	deep-optimal-transport-for-domain-adaptation-on-spd-manifolds
generative ai-powered plugin for robust federated learning in heterogeneous iot networks	gaudi-fl
synthsom: a synthetic intelligent multi-modal sensing-communication dataset for synesthesia of machines (som)	synthsom
can kernel methods explain how the data affects neural collapse?	shallow_nc1
contrastive learning and adversarial disentanglement for task-oriented semantic communications	clad

2025-04-25

paper	code
high-resolution agent-based modeling of covid-19 spreading in a small town	ABM-COVID-DSL
robust model predictive control exploiting monotonicity properties	robmpcexploitmon
passive channel charting: locating passive targets using wi-fi channel state information	espargos-passive-channelcharting
a statistical evaluation of indoor lorawan environment-aware propagation for 6g: mlr, anova, and residual distribution analysis	EnviKal-Loc

2025-04-24

paper	code
terime: an improved rime algorithm with enhanced exploration and exploitation for robust parameter extraction of photovoltaic models	terime
physics-based battery model parametrisation from impedance data	pybop
towards routing and edge computing in satellite-terrestrial networks: a column generation approach	CG_satellite
distributed model predictive control for dynamic cooperation of multi-agent systems	DMPC_for_dynamic_cooperation
traffic centralization and digital sovereignty: an analysis under the lens of dns servers	dns-sovereignty
random number generation from pulsars	pulsar_rng
superarc: an agnostic test for narrow, general, and super intelligence based on the principles of recursive compression and algorithmic probability	SuperintelligenceTest

2025-04-23

paper	code
onboard satellite image classification for earth observation: a comparative study of vit models	snt-sentry
orthogonal projection-based regularization for efficient model augmentation	orthogonal-augmentation
mitigating traffic oscillations in mixed traffic flow with scalable deep koopman predictive control	AdapKoopPC
reinforcement learning for dynamic resource allocation in optical networks: hype or hope?	XLRON
optimal bayesian affine estimator and active learning for the wiener model	Bayesian4Wiener
efficient algorithms for the hadamard decomposition	hadamarddecompositions
effective application of normalized min-sum decoding for short bch codes	Short_BCH_Decoding_OSD
dress: diffusion reasoning-based reward shaping scheme for intelligent networks	dress

2025-04-22

paper	code
bio-eng-lmm ai assist chatbot: a comprehensive tool for research and education	multi_llm
preserving privacy in cloud-based data-driven stabilization	privacy_data_driven_control
pk-yolo: pretrained knowledge guided yolo for brain tumor detection in multiplanar mri slices	pk-yolo
replacing k-infinity function with leaky relu in barrier function design: a union of invariant sets approach for relu-based dynamical systems	uis
graph-based prediction models for data debiasing	graph-debiasing
interior point methods for structured quantum relative entropy optimization problems	qrep-structure
tinyml nlp scheme for semantic wireless sentiment classification with privacy preservation	tinyeco2ai-nlp
run-length-limited isi-mitigation (rlim) coding for molecular communication	mcchannelcoding
efficient algorithm for sparse fourier transform of generalized $q$-ary functions	gfast
introducing large language models as the next challenging internet traffic source	llmtrafficmonitor

2025-04-21

paper	code
automated security response through online learning with adaptive conjectures	csle
bright: a globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response	bright
mind2matter: creating 3d models from eeg signals	mind2matter

2025-04-18

paper	code
a coding-theoretic analysis of hyperspherical prototypical learning geometry	coding_theoretic_hpl
robust data-driven tube-based zonotopic predictive control with closed-loop guarantees	TZPC

2025-04-17

paper	code
block majorization minimization with extrapolation and application to $\beta$-nmf	bmme
ecg-chat: a large ecg-language model for cardiac disease diagnosis	ECG-Chat
rise-ieeg: robust to inter-subject electrodes implantation variability ieeg classifier	RISE-iEEG
sig2text, a vision-language model for non-cooperative radar signal parsing	sig2text
robust mpc for uncertain linear systems -- combining model adaptation and iterative learning	ralmpc_linear_uncertain_systems
data driven approach towards more efficient newton-raphson power flow calculation for distribution grids	Data-driven-approach-towards-more-efficient-Newton-Raphson-power-flow-calculation
manifold meta-learning for reduced-complexity neural system identification	sysid-neural-manifold
seroaise: advancing roa estimation for relu and pwa dynamics through estimating certified invariant sets	seroaise
optimal flock formation induced by agent heterogeneity	optflock
structured gradient descent for fast robust low-rank hankel matrix completion	hsgd
an overview and solution for democratizing ai workflows at the network edge	NAOMI
local clustering and global spreading of receptors for optimal spatial gradient sensing	recloc
chaoseater: fully automating chaos engineering with large language models	chaos-eater
an attentive graph agent for topology-adaptive cyber defence	cyberdreamcatcher
superarc: an agnostic test for narrow, general, and super intelligence based on the principles of recursive compression and algorithmic probability	SuperintelligenceTest

2025-04-16

paper	code
the analytic stockwell transform and its zeros	ast
optimal operation of a building with electricity-heat networks and seasonal storage	residential-SG
curricullm: automatic task curricula design for learning complex robot skills using large language models	curricullm
large problems are not necessarily hard: a case study on distributed nmpc paying off	dmpc_scalability
racnn: residual attention convolutional neural network for near-field channel estimation in 6g wireless communications	RACNN
generative and explainable ai for high-dimensional channel estimation	Generative-and-Explainable-AI-for-High-Dimensional-Channel-Estimation
scalable transceiver design for multi-user communication in fdd massive mimo systems via deep learning	scalable-precoding-mu-mimo
toward intelligent and secure cloud: large language model empowered proactive defense	LLM-PD
introducing large language models as the next challenging internet traffic source	llmtrafficmonitor

2025-04-15

paper	code
stlccp: efficient convex optimization-based framework for signal temporal logic specifications	stlccp
learning-based observer for coupled disturbance	Coupled_disturbance
towards safe bayesian optimization with wiener kernel regression	SafeBO_WKR
cbramod: a criss-cross brain foundation model for eeg decoding	cbramod
opportunistic routing in wireless communications via learnable state-augmented policies	State-Augmented-Routing-Wireless-Communication
online convex optimization and integral quadratic constraints: a new approach to regret analysis	oco-with-iqcs
data-driven safety verification using barrier certificates and matrix zonotopes	Data-Driven-Safety-Verification-using-Barrier-Certificates-and-Matrix-Zonotopes
probabilistic reachable set estimation for saturated systems with unbounded additive disturbances	prs-sat-sys
analogical learning for cross-scenario generalization: framework and application to intelligent localization	alloc
interq: a dqn framework for optimal intermittent control	interq
self-supervised autoencoder network for robust heart rate extraction from noisy photoplethysmogram: applying blind source separation to biosignal analysis	meae-heart-rate-extraction-from-noisy-ppg
graph-based prediction models for data debiasing	graph-debiasing
hbs -- hardware build system: a tcl-based, minimal common abstraction approach for build system for hardware designs	hbs
passive channel charting: locating passive targets using wi-fi channel state information	espargos-passive-channelcharting
sok: decoding the enigma of encrypted network traffic classifiers	ntc-enigma

2025-04-14

paper	code
linear quadratic control of nonlinear systems with koopman operator learning and the nystr"om method	nys-koop-lqr
relcon: relative contrastive learning for a motion foundation model for wearable data	relcon
insights into the explainability of lasso-based deepc for nonlinear systems	Explainability_Lasso_DeePC
robustness of online identification-based policy iteration to noisy data	2024-SysIDbasedPIwithNoisyData
mixeeg: enhancing eeg federated learning for cross-subject eeg classification with tailored mixup	mixEEG
optimizing power grid topologies with reinforcement learning: a survey of methods and challenges	rl4pnc-survey
fast reconfiguration of lc-riss: modeling and algorithm design	LC-RIS-TDMA-Journal
torchfx: a modern approach to audio dsp with pytorch and gpu acceleration	torchfx
reverberation-based features for sound event localization and detection with distance estimation	seld-distance-features
certainsync: rateless set reconciliation with certainty	rateless-set-reconciliation-with-listing-guarantees

2025-04-11

paper	code
accelerating ill-conditioned hankel matrix recovery via structured newton-like descent	HSNLD
on counterfactual interventions in vector autoregressive models	counterfactual_interventions
sigmarl: a sample-efficient and generalizable multi-agent reinforcement learning framework for motion planning	sigmarl
convergence and robustness of value and policy iteration for the linear quadratic regulator	2024-ConvergenceRobustness-VIPI
amplitude response and square wave describing functions	square-wave-describing-functions
t-parameters based modeling for stacked intelligent metasurfaces: tractable and physically consistent model	sim-t-param
modular control of discrete event system for modeling and mitigating power system cascading failures	Modular_DES
open datasets for grid modeling and visualization: an alberta power network case	carbondistributionmap

2025-04-10

paper	code
pyit2fls: a new python toolkit for interval type 2 fuzzy logic systems	PyIT2FLS
measuring discrete sensing capability for isac via task mutual information	dtmi
distribution grids may be a barrier to residential electrification	edgie
zero-order control barrier functions for sampled-data systems with state and input dependent safety constraints	Zero-order-CBFs
digital twin aided channel estimation: zone-specific subspace prediction and calibration	Digital-twin-aided-channel-estimation
learning flatness-preserving residuals for pure-feedback systems	flat-residual
robo-taxi fleet coordination at scale via reinforcement learning	rl4amod
physical spline for denoising object trajectory data by combining splines, ml feature regression and model knowledge	physical_spline
zeta: a library for zonotope-based estimation and fault diagnosis of discrete-time systems	ZETA-releases
holistic fusion: task- and setup-agnostic robot localization and state estimation with factor graphs	holistic_fusion
setup-invariant augmented reality for teaching by demonstration with surgical robots	dv-stear_public
robust capacity expansion modelling for renewable energy systems under weather and demand uncertainty	robust-capacity-expansion
parametric reachable sets via controlled dynamical embeddings	Harapanahalli_CDC2025
optimality of gradient-music for spectral estimation	gradientMUSIC

2025-04-09

paper	code
modulated differentiable stft and balanced spectrum metric for freight train wheelset bearing cross-machine transfer fault diagnosis under speed fluctuations	PyDSN
data publishing in mechanics and dynamics: challenges, guidelines, and examples from engineering design	connectinggaitsinenergeticallyconservativeleggedsystems
large wireless model (lwm): a foundation model for wireless channels	lwm
path: a discrete-sequence dataset for evaluating online unsupervised anomaly detection approaches for multivariate time series	path
large language model-based decision-making for colregs and the control of autonomous surface vehicles	Autonomous_ship_planning_collision_avoidance_control
neural port-hamiltonian differential algebraic equations for compositional learning of electrical networks	nphdae
cpg-based manipulation with multi-module origami robot surface	Simulation_CPG_Manipulation_Oripixel
multi-modality sensing in mmwave beamforming for connected vehicles using deep learning	V2X-mmWave-Beamforming

2025-04-08

paper	code
an xai framework for robust and transparent data-driven wind turbine power curve models	xai4windpowercurves
recursive dynamic state estimation for power systems with an incomplete nonlinear dae model	powerdynamicestimator
scvcnet: sliding cross-vector convolution network for cross-task and inter-individual-set eeg-based cognitive workload recognition	scvcnet
wideband thz multi-user downlink communications with leaky wave antennas	LWA
robust model predictive control exploiting monotonicity properties	robmpcexploitmon
analyzing the role of the dso in electricity trading of vpps via a stackelberg game model	Code_of_bilevel_DSO_VPPs
ecg-expert-qa: a benchmark for evaluating medical large language models in heart disease diagnosis	ecg-expert-qa
calibrefine: deep learning-based online automatic targetless lidar-camera calibration with iterative and attention-driven post-refinement	Lidar_Camera_Automatic_Calibration
a multi-scale lithium-ion battery capacity prediction using mixture of experts and patch-based mlp	capacitypredict
decoding covert speech from eeg using a functional areas spatio-temporal transformer	fast
on symbol error probability-based beamforming in mimo gaussian wiretap channels	SEP_Beamforming_GaussianWritapChannel
sok: decoding the enigma of encrypted network traffic classifiers	ntc-enigma
efficient rejection sampling in the entropy-optimal range	amplified-loaded-dice-roller
federated learning over 5g, wifi, and ethernet: measurements and evaluation	federated_learning_testbed
feature importance-aware deep joint source-channel coding for computationally efficient and adjustable image transmission	fajscc

2025-04-07

paper	code
reconfigurable quantum internet service provider	quagent
heartbert: a self-supervised ecg embedding model for efficient and effective medical signal analysis	heartbert
gravity compensation of the dvrk-si patient side manipulator based on dynamic model identification	dvrk_si_psm_gravity_compensation
survival analysis with machine learning for predicting li-ion battery remaining useful life	RUL
quattro: transformer-accelerated iterative linear quadratic regulator framework for fast trajectory optimization	quattro-transformer-ilqr
curvature-constrained vector field for motion planning of nonholonomic robots	cvf-for-nonholonomic-motion-planning
distributionally robust predictive runtime verification under spatio-temporal logic specifications	robust_spatio-temporal_predictive_runtime_verification
autonomy architectures for safe planning in unknown environments under budget constraints	gatekeeper_budget_constraints
graphseg: segmented 3d representations via graph edge addition and contraction	graphseg
taming high-dimensional dynamics: learning optimal projections onto spectral submanifolds	opt-ssm
dynamic objective mpc for motion planning of seamless docking maneuvers	dynamic_objective_mpc
learning-based conformal tube mpc for safe control in interactive multi-agent systems	conformal_tube_mpc
leveraging network topology in a two-way competition for influence in the friedkin-johnsen model	net_topology_influence
scalable hypergraph structure learning with diverse smoothness priors	Scalable-Hypergraph-Structure-Learning-with-Diverse-Smoothness-Priors
orthogonal nonnegative matrix factorization with sparsity constraints	mep-orthogonal-nmf
an algorithm for computing generalized hamming weights and the sage package ghws	ghws
leggiero: analog wifi backscatter with payload transparency	leggiero
quinid: enabling fdma-based fully parallel rfid with frequency-selective antenna	quinid

2025-04-04

paper	code
topology of surface electromyogram signals: hand gesture decoding on riemannian manifolds	geometryofsemg
a database of upper limb surface electromyogram signals from demographically diverse individuals	wristEMG
an electrocardiogram foundation model built on over 10 million recordings with external evaluation across multiple domains	ECGFounder
l4acados: learning-based models for acados, applied to gaussian process-based predictive control	l4acados
on-the-fly surrogation for complex nonlinear dynamics	cdc25-code-repo
sustainable broadcasting in blockchain networks with reinforcement learning	eth-broadcast-protocol

2025-04-03

paper	code
toward interpretable sleep stage classification using cross-modal transformers	cross-modal-transformer
fast-converged deep reinforcement learning for optimal dispatch of large-scale power systems under transient security constraints	fcdrl_tscopf
the computation of approximate feedback stackelberg equilibria in multi-player nonlinear constrained dynamic games	feedbackstackelberggames.jl
measuring discrete sensing capability for isac via task mutual information	dtmi
learning koopman-based stability certificates for unknown nonlinear systems	Unknown_Zubov_Koopman
terasim: uncovering unknown unsafe events for autonomous vehicles through generative simulation	TeraSim
weakly supervised convolutional dictionary learning with shared and discriminative components for classification	WSCDL
mpcritic: a plug-and-play mpc architecture for reinforcement learning	MPCritic
value iteration for learning concurrently executable robotic control tasks	value_iteration_for_learning_concurrently_executable_robotic_control_tasks
convex computations for controlled safety invariant sets of black-box discrete-time dynamical systems	pcsis

2025-04-02

paper	code
1-2-3-go! policy synthesis for parameterized markov decision processes via decision-tree learning and generalization	dtstrat-123go-artifact
robust bayesian optimization via localized online conformal prediction	LOCBO
insights into the explainability of lasso-based deepc for nonlinear systems	Explainability_Lasso_DeePC
exact local recovery for chemical shift imaging	csitools
output-feedback model predictive control under dynamic uncertainties using integral quadratic constraints	mpc-iqc
egocentric conformal prediction for safe and efficient navigation in dynamic cluttered environments	ecp-mpc
near field localization via ai-aided subspace methods	AI-Subspace-Methods
multi-stage group testing with (r,s)-regular design algorithms	MultiGT
probabilistically safe and efficient model-based reinforcement learning	mpcrl-cbf
time-optimal convexified reeds-shepp paths on a sphere	optimal-spherical-convexified-reeds-shepp-paths
rg-attn: radian glue attention for multi-modality multi-agent cooperative perception	RG-Attn
geo2commap: deep learning-based mimo throughput prediction using geographic data	geo2commap

2025-04-01

paper	code
reachable polyhedral marching (rpm): an exact analysis tool for deep-learned control systems	Neural-Network-Reach
performance bounds for near-field localization with widely-spaced multi-subarray mmwave/thz mimo	near-field-crb
optimal vintage factor analysis with deflation varimax	optimal_deflation_varimax
scalable multi-modal model predictive control via duality-based interaction predictions	hmpc_raidnet
flexible antenna arrays for wireless communications: modeling and performance evaluation	Flexible_antenna_arrays_wireless_communications
sensorbench: benchmarking llms in coding-based sensor processing	llm_sensor_processing
an iterative bayesian approach for system identification based on linear gaussian models	informative_input_design
can large language model agents balance energy systems?	LLM_Agent_Power_System_Balance
stability results for mimo lti systems via scaled relative graphs	SRG-ECC-2025
on the standard performance criteria for applied control design: pid, mpc or machine learning controller?	Performance_Criteria_Control_PID_MPC_ML
optimal control of an epidemic with intervention design	codes
online convex optimization and integral quadratic constraints: a new approach to regret analysis	oco-with-iqcs
on the steady-state distributionally robust kalman filter	steadystatedrkf
certified approximate reachability (care): formal error bounds on deep learning of reachable sets	CARe
libertas: privacy-preserving collective computation for decentralised personal data stores	libertas
teola: towards end-to-end optimization of llm-based applications	ayo
ieee 802.11bn multi-ap coordinated spatial reuse with hierarchical multi-armed bandits	mapc-sim
information-theoretic subset selection of multivariate markov chains via submodular optimization	SubmodOptMC

2025-03-31

paper	code
rf challenge: the data-driven radio frequency signal separation challenge	rfchallenge_singlechannel_starter
cpg-based manipulation with multi-module origami robot surface	Simulation_CPG_Manipulation_Oripixel
route-and-aggregate decentralized federated learning under communication errors	RouteAndAggregate
multi-objective robust controller synthesis with integral quadratic constraints in discrete-time	multi-objective-iqc-synthesis
neural identification of feedback-stabilized nonlinear systems	Nonlinear_system_identification
neuromorphic wireless split computing with multi-level spikes	neurocomm-msnn

2025-03-28

paper	code
learning-based model augmentation with lfrs	model-augmentation-public
immersive and wearable thermal rendering for augmented reality	thermalfeedbackforar-data
plain: scalable estimation architecture for integrated sensing and communication	plain
consexpressionr: an r package for consensus differential gene expression analysis	consexpressionr
autobargesim: matlab(r) toolbox for the design and analysis of the guidance and control system for autonomous inland vessels	autobargesim
intelligent iot attack detection design via odllm with feature ranking-based knowledge base	Intelligent-IoT-Attack-Detection-Design-via-LLM-with-Feature-Ranking-Based-Knowledge-Base-Design

2025-03-27

paper	code
a pac-bayesian framework for optimal control with stability guarantees	pac-snoc
scalable wavelength arbitration for microring-based dwdm transceivers	wdm-simulator
learning-based model predictive control for piecewise affine systems with feasibility guarantees	supervised-learning-pwa-mpc
comparative analysis and evaluation of ageing forecasting methods for semiconductor devices in online health monitoring	AgeingForecastingMOSFETs
a low-complexity structured neural network approach to intelligently realize wideband multi-beam beamformers	Intelligent-Wideband-Beamforming-using-StNN
data-driven distributionally robust control based on sinkhorn ambiguity sets	Sinkhorn_DRC
a general framework for interpretable neural learning based on local information-theoretic goal functions	infomorphic_networks
sok: decoding the enigma of encrypted network traffic classifiers	ntc-enigma

2025-03-26

paper	code
exploring robustness of image recognition models on hardware accelerators	mutatenn
morphological symmetries in robotics	morphosymm
simulation-based analysis of highway trajectory planning using high-order polynomial for highly automated driving function	TGAS-Sim
rank-based modeling for universal packets compression in multi-modal communications	ByteTrans
insights into the explainability of lasso-based deepc for nonlinear systems	Explainability_Lasso_DeePC
statgraph: effective in-vehicle intrusion detection via multi-view statistical graph learning	StatGraph
multi-hop differential topology based algorithms for resilient network of uav swarm	Multi-hop-Differential-Topology-based-Algorithms-for-Resilient-Network-of-UAV-Swarm

2025-03-25

paper	code
removing structured noise with diffusion models	joint-diffusion
optimal control of grid-interfacing inverters with current magnitude limits	Current-Magnitude-Limited-Inverter-Control
physics-informed multi-agent reinforcement learning for distributed multi-robot problems	phmarl
diffusion-aided joint source channel coding for high realism wireless image transmission	diffjscc
safe control of grid-interfacing inverters with current magnitude limits	safe-current-magnitude-limit-inverter-control
safe gradient flow for bilevel optimization	sgf-blo
reduce lap time for autonomous racing with curvature-integrated mpcc local trajectory planning method	cimpcc
survival analysis with machine learning for predicting li-ion battery remaining useful life	RUL
flexible wmmse beamforming for mu-mimo movable antenna communications	f-wmmse-beamforming
investigation into the role of the bessel function order in the fourier-bessel series and the hankel transform	fourier_bessel_plots
adaptive koopman model predictive control of simple serial robots	adaptive-koopman-mpc
rejuvenating irs: aoi-based low overhead reconfiguration design	irs_rejuvenation
choose wisely: data-enabled predictive control for nonlinear systems using online data selection	choose-wisely-paper
inertial-based lqg control: a new look at inverted pendulum stabilization	lqg-a-ipoc
an overview and solution for democratizing ai workflows at the network edge	NAOMI
neural representation for wireless radiation field reconstruction: a 3d gaussian splatting approach	wrf-gsplus
comparative analysis of deep learning models for real-world isp network traffic forecasting	isp-forecasting-benchmark
p4sim: programming protocol-independent packet processors in ns-3	p4sim
an algorithm for computing generalized hamming weights and the sage package ghws	ghws

2025-03-24

paper	code
uncertainty-aware guidance for target tracking subject to intermittent measurements using motion model learning	info_driven_guidance
eeg-clip : learning eeg representations from natural language descriptions	eegclip
grafit: a toolbox for fast and accurate frequency response identification in gravitational wave detectors	GraFIT
superarc: a test for general and super intelligence based on first principles of recursion theory and algorithmic probability	SuperintelligenceTest
governance of ledger-anchored decentralized identifiers	DID-IDM

2025-03-21

paper	code
neurolm: a universal multi-task foundation model for bridging the gap between language and eeg signals	neurolm
artificial intelligence-derived vascular age from photoplethysmography: a novel digital biomarker for cardiovascular health	Dist-Loss
energy-free sensing and context recognition using photovoltaic cells	EnergyFreeStepCounting
climb: data foundations for large scale multimodal clinical foundation models	climb
performance-bounded online ensemble learning method based on multi-armed bandits and its applications in real-time safety assessment	Awesome_OL
control pneumatic soft bending actuator with online learning pneumatic physical reservoir computing	Online-Learning-RC-Control-RoboSoft2025
generalization guarantees for representation learning via data-dependent gaussian mixture priors	Gaussian_Mixture_Priors_for_Representation_Learning

2025-03-20

paper	code
flp-xr: future location prediction on extreme scale maritime data in real-time	FLP-XR
link prediction and navigability of multiplex energy networks	Link_Prediction_Multiplex
pruning-based tinyml optimization of machine learning models for anomaly detection in electric vehicle charging infrastructure	evci-pruning
high-order control barrier functions: insights and a truncated taylor-based formulation	sigmarl
a comparative study of human motion models in reinforcement learning algorithms for social robot navigation	Social-Navigation-PyEnvs
sig2text, a vision-language model for non-cooperative radar signal parsing	sig2text
blocked cholesky factorization updates of the riccati recursion using hyperbolic householder transformations	hyhound
the value of hedging against energy storage uncertainties when designing energy parks	Energy-Park-Design
leach-rlc: enhancing iot data transmission with optimized clustering and reinforcement learning	pynetsim
goal-oriented medium access with distributed belief processing	delta_medium_access
rust barefoot runtime (rbfrt): fast runtime control for the intel tofino	rbfrt
probabilistic delay forecasting in 5g using recurrent and attention-based architectures	wireless-tpp

2025-03-19

paper	code
visibility-aware rrt* for safety-critical navigation of perception-limited robots in unknown environments	visibility-rrt
synthesizing interpretable control policies through large language model guided search	synthesizing_interpretable_control_policies
koopman-based control of nonlinear systems with closed-loop guarantees	safedmd-sos
a novel fourier adjacency transformer for advanced eeg emotion recognition	FAT
eagle: contextual point cloud generation via adaptive continuous normalizing flow with self-attention	EAGLE
is limited participant diversity impeding eeg-based machine learning?	participant-diversity-paper
transformable modular robots: a cpg-based approach to independent and collective locomotion	2025_Transformable_Robot
16 ways to gallop: energetics and body dynamics of high-speed quadrupedal gaits	16WaystoGallop
on-traffic: an operator learning framework for online traffic flow estimation and uncertainty quantification from lagrangian sensors	on-traffic
room impulse response estimation through optimal mass transport barycenters	RIR_Estimation_OMT_Barycenter
consumer-grade eeg-based eye tracking	eeg_eye_tracking
on the standard performance criteria for applied control design: pid, mpc or machine learning controller?	Performance_Criteria_Control_PID_MPC_ML
dynamic demand-aware link scheduling for reconfigurable datacenters	dydj-match
3d-lmvic: learning-based multi-view image coding with 3d gaussian geometric priors	3D-GP-LMVIC
mobility-aware seamless service migration and resource allocation in multi-edge iov systems	SRCL_Simu5G
towards energy- and qos-aware load balancing for 6g: leveraging o-ran to achieve sustainable and energy-efficient 6g	Energy-Saver-Tests

2025-03-18

paper	code
exploring robustness of image recognition models on hardware accelerators	mutatenn
interpretable modulated differentiable stft and physics-informed balanced spectrum metric for freight train wheelset bearing cross-machine transfer fault diagnosis under speed fluctuations	PyDSN
emt: a novel transformer for generalized cross-subject eeg emotion recognition	emt
icps-dl: a description language for autonomic industrial cyber-physical systems	icps-dl
flying a quadrotor with unknown actuators and sensor configuration	indiflightSupport
stochastic data-driven predictive control: chance-constraint satisfaction with identified multi-step predictors	MultistepPredictors
learning of patch-based smooth-plus-sparse models for image reconstruction	Smooth-Plus-Sparse-Model
open-set gait recognition from sparse mmwave radar point clouds	OpenSetGaitRecognition_PCAA
formally proving invariant systemic properties of control programs using ghost code and integral quadratic constraints	submission_systemic_prop_IQC
screedsolo: a secure and robust lsb image steganography framework with randomized symmetric encryption and reed-solomon coding	screedsolo-steganography
pause: low-latency and privacy-aware active user selection for federated learning	PAUSE
decentralized sensor network localization using matrix-parametrized proximal splittings	snl
maximum likelihood estimation of optimal receiver operating characteristic curves from likelihood ratio observations	mleroc
the conditional cauchy-schwarz divergence with applications to time-series data and sequential decision making	conditional_cs_divergence
nystr"om $m$-hilbert-schmidt independence criterion	nystroem-mhsic
scaling large language model-based multi-agent collaboration	chatdev
an information criterion for controlled disentanglement of multimodal data	disentangledssl
effective application of normalized min-sum decoding for short bch codes	Short_BCH_Decoding_OSD
weighted cycle-based identification of influential node groups in complex networks	WCycle
agentic search engine for real-time iot data	IoT-Agentic-Search-Engine
enable time-sensitive applications in kubernetes with container network interface plugin agnostic metadata proxy	tsn-proxy

2025-03-17

paper	code
flexible intelligent metasurface-aided wireless communications: architecture and performance	flexible-ris
modeling and optimization for flexible cylindrical arrays-enabled wireless communications	flexible-cylindrical-arrays-beamforming
learning-based mpc for efficient control of autonomous vehicles	mpcrl-vehicle-gears
a real-world energy management dataset from a smart company building for optimization and machine learning	MonitoringDatasetAnalysis
topological dictionary learning	topological-dictionary-learning
intrinsic dimension estimation for robust detection of ai-generated texts	gptid
disentanglement learning via topology	topdis
robust ai-generated text detection by restricted embeddings	robustatd

2025-03-14

paper	code
pcla: a framework for testing autonomous agents in the carla simulator	pcla
dynamics-invariant quadrotor control using scale-aware deep reinforcement learning	adapt-drones
real-time risky fault-chain search using time-varying graph rnns	GRNN-FaultChain-Predictor
t-parameters based modeling for stacked intelligent metasurfaces: tractable and physically consistent model	sim-t-param
high-resolution uplink sensing in millimeter-wave isac systems	UplinkSensing_mmWave

2025-03-13

paper	code
commonpower: a framework for safe data-driven smart grid control	commonpower
predicting workload in virtual flight simulations using eeg features (including post-hoc analysis in appendix)	flight-sim-cognitive-workload-eeg-prediction
opengert: open source automated geometry extraction with geometric and electromagnetic sensitivity analyses for ray-tracing propagation models	opengert
integrated communication and learned recognizer with customized ris phases and sensing durations	CRISense
maneuvergpt agentic control for safe autonomous stunt maneuvers	ManeuverGPT
robust fault-tolerant control and agile trajectory planning for modular aerial robotic systems	mars-ftcc
robust self-reconfiguration for fault-tolerant control of modular aerial robot systems	mars-reconfig
optimal isac beamforming structure and efficient algorithms for sum rate and crlb balancing	OBS-for-CRLB-ISAC
information-theoretic measures on lattices for high-order interactions	nips2024hoi

2025-03-12

paper	code
medalcare-xl: 16,900 healthy and pathological 12 lead ecgs obtained through electrophysiological simulations	fim_eikonal
transformers are provably optimal in-context estimators for wireless communications	in-context-estimation
hypergraph-mlp: learning on hypergraphs without message passing	hypergraph-mlp
dequantization of a signal from two parallel quantized observations	parallel-dequantization
transfer learning assisted fast design migration over technology nodes: a study on transformer matching network	rfic-tl
data foundations for large scale multimodal clinical foundation models	climb
trust: stability and safety controller synthesis for unknown dynamical models using a single trajectory	TRUST
integrating captive portal technology into computer science education: a modular, hands-on approach to infrastructure	captive-portal-education

2025-03-11

paper	code
on w-optimization of the split covariance intersection filter	splitcif
clarifying the effect of mean subtraction on dynamic mode decomposition	msub_mdselect_dmd
coordinate-based neural representations for computational adaptive optics in widefield microscopy	cocoa
signal processing meets sgd: from momentum to filter	SGDF-Optimizer
adaptive kalman-informed transformer	a-kit
spatio-spectral structure tensor total variation for hyperspectral image denoising and destriping	spatio-spectral-structure-tensor-total-variation-for-hyperspectral-image-denoising-and-destriping
fully reversing the shoebox image source method: from impulse responses to room parameters	acoustic-sfw
surpassing cosine similarity for multidimensional comparisons: dimension insensitive euclidean metric	diem
mimo channel shaping and rate maximization using beyond diagonal ris	mimo-channel-shaping-and-rate-maximization-using-beyond-diagonal-ris
self-supervised speed of sound recovery for aberration-corrected photoacoustic computed tomography	NF-APACT
hybrid attention model using feature decomposition and knowledge distillation for glucose forecasting	GlucoNet
terasim: uncovering unknown unsafe events for autonomous vehicles through generative simulation	TeraSim
safe distributed learning-enhanced predictive control for multiple quadrupedal robots	MultiQuadruped-Control
wireless hallucination in generative ai-enabled communications: concepts, issues, and solutions	WirelessHallu
hybrid cnn-dilated self-attention model using inertial and body-area electrostatic sensing for gym workout recognition, counting, and user authentification	toolkit-for-hbc-sensing
chance-constrained linear quadratic gaussian games for multi-robot interaction under uncertainty	safe-CCLQGGame
chance-constrained trajectory planning with multimodal environmental uncertainty	LCSS-control
decision-dependent stochastic optimization: the role of distribution dynamics	distribution-dynamics-opt
open-set gait recognition from sparse mmwave radar point clouds	OpenSetGaitRecognition_PCAA
diffsg: a generative solver for network optimization with diffusion model	DiffSG
dress: diffusion reasoning-based reward shaping scheme for intelligent networks	dress

2025-03-10

paper	code
exploring robustness of image recognition models on hardware accelerators	mutatenn
end-to-end human pose reconstruction from wearable sensors for 6g extended reality systems	imu2pose-sionna
energy-free sensing and context recognition using photovoltaic cells	EnergyFreeStepCounting
network simulator-centric compositional testing	PFV
routing for large ml models	dcn-simulators

2025-03-07

paper	code
autonomous riss and oblivious base stations: the observer effect and its mitigation	self-configuring-orchestration
from data to predictive control: a framework for stochastic linear systems with output measurements	d2pc
a data-driven aggressive autonomous racing framework utilizing local trajectory planning with velocity prediction	vpmpcc
parallel-in-time kalman smoothing using orthogonal transformations	ultimate-kalman
safe llm-controlled robots with formal guarantees via reachability analysis	SafeLLMRA
simulation-based analysis of highway trajectory planning using high-order polynomial for highly automated driving function	TGAS-Sim
invicloak: an end-to-end approach to privacy and performance in web content distribution	ccs2022-invicloak
complexitymeasures.jl: scalable software to unify and accelerate entropy and complexity timeseries analysis	ComplexityMeasures.jl
mobilevim: a light-weight and dimension-independent vision mamba for 3d medical image analysis	MobileViM_3D

2025-03-06

paper	code
geometric impedance control on se(3) for robotic manipulators	Geometric-Impedance-Control-Public
aggregate model of district heating network for integrated energy dispatch: a physically informed data-driven approach	aggregate-model-of-dhn-a-physically-informed-data-driven-approach
multi-modal conformal prediction regions with simple structures by optimizing convex shape templates	conformal_region_designer
multimodal action quality assessment	pamfn
provably safe neural network controllers via differential dynamic logic	ncubev
a structurally coherent spatial phase estimate	ssvm2025
seal: safety enhanced trajectory planning and control framework for quadrotor flight in complex environments	seal
simulation-based performance evaluation of 3d object detection methods with deep learning for a lidar point cloud dataset in a sotif-related use case	SOTIF-PCOD

2025-03-05

paper	code
beamforming optimization for continuous aperture array (capa)-based communications	beamforming-optimization-for-continuous-aperture-array-based-communications
calibrefine: deep learning-based online automatic targetless lidar-camera calibration with iterative and attention-driven post-refinement	Lidar_Camera_Automatic_Calibration
uncertainty representation in a sotif-related use case with dempster-shafer theory for lidar sensor-based object detection	SOTIF-PCOD
integrated communication and learned recognizer with customized ris phases and sensing durations	CRISense
racnn: residual attention convolutional neural network for near-field channel estimation in 6g wireless communications	RACNN
protograph-based batched network codes	bnc

2025-03-04

paper	code
optimization-based motion planning for autonomous agricultural vehicles turning in constrained headlands	headland_trajectory_planning
vrem-fl: mobility-aware computation-scheduling co-design for vehicular federated learning	vrem-fl
linear quadratic control of nonlinear systems with koopman operator learning and the nystr"om method	nys-koop-lqr
robust data-driven tube-based zonotopic predictive control with closed-loop guarantees	TZPC
a universal formulation for path-parametric planning and control	pathparam
the bouc-wen model for binary direct collinear collisions of convex viscoplastic bodies	bwbcl
learning two-agent motion planning strategies from generalized nash equilibrium for model predictive control	Implicit-Game-Theoretic-MPC
cbramod: a criss-cross brain foundation model for eeg decoding	cbramod
computing capacity-cost functions for continuous channels in wasserstein space	continuous_channel
prodapt: proprioceptive adaptation using long-term memory diffusion	prodapt
flowdec: a flow-based full-band general audio codec with high perceptual quality	flowdec
m4: a learned flow-level network simulator	m4
learned codes for broadcast channels with feedback	gbcf
towards zero touch networks: cross-layer automated security solutions for 6g wireless networks	cross-layer-autonomous-cybersecurity-framework
verifying quic implementations using ivy	PANTHER
formally discovering and reproducing network protocols vulnerabilities	PANTHER

2025-03-03

paper	code
adaptive whitening in neural populations with gain-modulating interneurons	frame_whitening
keec: koopman embedded equivariant control	koopman-embedded-equivariant-control
timely status updates in slotted aloha networks with energy harvesting	aoi_slottedaloha_energyharvesting
toward foundational model for sleep analysis using a multimodal hybrid self-supervised learning framework	SynthSleepNet
scaling large-language-model-based multi-agent collaboration	chatdev
overlapped arithmetic codes	now-ftcit
enabling automl for zero-touch network security: use-case driven analysis	automl-and-adversarial-attack-defense-for-zero-touch-network-security

2025-02-28

paper	code
neural configuration distance function for continuum robot control	ndf-coroco
multi-view contrastive network (mvcnet) for motor imagery classification	MCNet
machine-learning for photoplethysmography analysis: benchmarking feature, image, and signal-based approaches	d1-code
convergence guarantees of model-free policy gradient methods for lqr with stochastic data	2025-PGforLQRwithStochastic
offline reinforcement learning via inverse optimization	offlinerlviaio
a measure of synergy based on union information	cisynergy
exploring quic dynamics: a large-scale dataset for encrypted traffic analysis	VisQUIC
autobs: autonomous base station deployment framework with reinforcement learning and digital twin network	autobs

2025-02-27

paper	code
detecting train driveshaft damages using accelerometer signals and differential convolutional neural networks	crack-detection-railway-axles-deep-learning
pixleepflow: a pixel-based lifelog framework for predicting sleep quality and stress level	pixleep
ecg-expert-qa: a benchmark for evaluating medical large language models in heart disease diagnosis	ecg-expert-qa
transfer learning assisted fast design migration over technology nodes: a study on transformer matching network	rfic-tl
circulant admm-net for fast high-resolution doa estimation	cadmmnet
generalizable deep learning for photoplethysmography-based blood pressure estimation -- a benchmarking study	ppg-ood-generalization

2025-02-26

paper	code
$\mathsf{quito}$ $\textsf{v.2}$: trajectory optimization with uniform error guarantees under path constraints	quitov2
learning system dynamics without forgetting	ms-gode
wavtokenizer: an efficient acoustic discrete codec tokenizer for audio language modeling	wavtokenizer
the case for cleaner biosignals: high-fidelity neural compressor enables transfer from cleaner ieeg to noisier eeg	eeg-ieeg-brain-compressor
cssstn: a class-sensitive subject-to-subject semantic style transfer network for eeg classification in rsvp tasks	cssstn
consense: continually sensing human activity with wifi via growing and picking	consense
urinary tract infection detection in digital remote monitoring: strategies for managing participant-specific prediction complexity	Multi-Source-Analysing
perceptual noise-masking with music through deep spectral envelope shaping	DPNMM
eegm2: an efficient mamba-2-based self-supervised framework for long-sequence eeg modeling	EEGM2
{complexitymeasures.jl}: scalable software to unify and accelerate entropy and complexity timeseries analysis	ComplexityMeasures.jl
towards accurate and reliable icu outcome prediction: a multimodal learning framework based on belief function theory using structured ehrs and free-text notes	evid_multimodal_ehr
+tour: recommending personalized itineraries for smart tourism	plusTour
random number generation from pulsars	pulsar_rng

2025-02-25

paper	code
finite element hybridization of port-hamiltonian systems	ph_hybridization
contrastive learning for sleep staging based on inter subject correlation	mvitime
uncertainty-aware drl for autonomous vehicle crowd navigation in shared space	UncertaintyAware_DRL_CrowdNav
can all variations within the unified mask-based beamformer framework achieve identical peak extraction performance?	unified_framework_for_mask-based_bf
cl-diffphycon: closed-loop diffusion control of complex physical systems	cl_diffphycon
cbramod: a criss-cross brain foundation model for eeg decoding	cbramod
benchmarking machine learning for bowel sound pattern classification from tabular features to pretrained models	bowel-sound-classification
structure-aware matrix pencil method	--SAMP--Stracture-Aware_Matrix_Pencil_Method
spikacom: a neuromorphic computing framework for green communications	spikacom
inverse kinematics on guiding vector fields for robot path following	gvf_ik

2025-02-24

paper	code
explainable ai for ship collision avoidance: decoding decision-making processes and behavioral intentions	Explainable-AI-for-Ship-Collision-Avoidance-Decoding-Decision-Making-Processes-and-Behavioral-Inten
unidb: a unified diffusion bridge framework via stochastic optimal control	unidb
multi-agent multi-armed bandits with minimum reward guarantee fairness	Fair-MAMAB
leader-follower formation tracking control of quadrotor uavs using bearing measurements	bpe_quadrotor
generalization guarantees for representation learning via data-dependent gaussian mixture priors	Gaussian_Mixture_Priors_for_Representation_Learning

2025-02-21

paper	code
reinforcement learning-based receding horizon control using adaptive control barrier functions for safety-critical systems	cdc2024_rl_adpative_mpc_cbf
towards generative ray path sampling for faster point-to-point ray tracing	DiffeRT
incepformernet: a multi-scale multi-head attention network for ssvep classification	ssvep-dan
towards routing and edge computing in satellite-terrestrial networks: a column generation approach	CG_satellite
a stackelberg game approach for signal temporal logic control synthesis with uncontrollable agents	Stackelberg-STL
data-driven control of t-product-based dynamical systems	TPDSn

2025-02-20

paper	code
regression coefficient estimation from remote sensing maps	uncertainty-quantification
artificial intelligence-derived vascular age from photoplethysmography: a novel digital biomarker for cardiovascular health	Dist-Loss
empirical study of dynamic regret in online model predictive control for linear time-varying systems	mpc-bounded-regret-evaluation
probabilistically robust uncertainty analysis and optimal control of continuous lyophilization via polynomial chaos theory	contlyo-pce-drying
toeplitz-hermitian admm-net for doa estimation	thadmmnet
diffusion models as network optimizers: explorations and analysis	DiffSG
mobilevim: a light-weight and dimension-independent vision mamba for 3d medical image analysis	MobileViM_3D
spex: scaling feature interaction explanations for llms	spectral-explain

2025-02-19

paper	code
a unified algorithmic framework for dynamic compressive sensing	PLAY-CS
automated lane merging via game theory and branch model predictive control	gt-bmpc
a closer look at mortality risk prediction from electrocardiograms	ecg-survival-benchmark
semantica: decentralized search using a llm-guided semantic tree overlay	Semantica
scalable and robust physics-informed graph neural networks for water distribution systems	SPIGNNs_for_WDSs
reinforcement learning for dynamic resource allocation in optical networks: hype or hope?	XLRON
dimension reduction methods, persistent homology and machine learning for eeg signal analysis of interictal epileptic discharges	dyca
robotiq: empowering mobile robots with human-level planning for real-world execution	robotiq
automated linear parameter-varying modeling of nonlinear systems: a global embedding approach	lpvs25-code-repo
an attentive graph agent for topology-adaptive cyber defence	cyberdreamcatcher
universal embedding function for traffic classification via quic domain recognition pretraining: a transfer learning success	faiss

2025-02-18

paper	code
reserve provision from electric vehicles: aggregate boundaries and stochastic model predictive control	EV_reserve
wideband relative transfer function (rtf) estimation exploiting frequency correlations	SVD-direct
can all variations within the unified mask-based beamformer framework achieve identical peak extraction performance?	unified_framework_for_mask-based_bf
certifiable reachability learning using a new lipschitz continuous value function	Lipschitz_Continuous_Reachability_Learning
robomnist: a multimodal dataset for multi-robot activity recognition using wifi sensing, video, and audio	robomnist
adaptive nad: online and self-adaptive unsupervised network anomaly detector	adaptive-nad
gaussian multi-target filtering with target dynamics driven by a stochastic differential equation	MTT
cbramod: a criss-cross brain foundation model for eeg decoding	cbramod
nonlinear port-hamiltonian system identification from input-state-output data	Port-Hamilton-System-Identification-with-PINNS
musical score following using statistical inference	Score-follower
parallel-in-time kalman smoothing using orthogonal transformations	ultimate-kalman
the greedy side of the lasso: new algorithms for weighted sparse recovery via loss function-based orthogonal matching pursuit	greedy_lasso_womp
quaternary neural belief propagation decoding of quantum ldpc codes with overcomplete check matrices	quantum-neural-bp4-demo
evaluating the potential of quantum machine learning in cybersecurity: a case-study on pca-based intrusion detection systems	sq-learn
non-binary ldpc arithmetic error correction for processing-in-memory	nbldpc_pim
blank space: adaptive causal coding for streaming communications over multi-hop networks	MH_NC

2025-02-17

paper	code
crossfi: a cross domain wi-fi sensing framework based on siamese network	CrossFi
pre-equalization aided grant-free massive access in massive mimo system	tvt-2025
eiqp: execution-time-certified and infeasibility-detecting qp solver	eiqp
carbon- and precedence-aware scheduling for data processing clusters	carbon-aware-dag
cissir: beam codebooks with self-interference reduction guarantees for integrated sensing and communication beyond 5g	cissir
edm: an ultra-low latency ethernet fabric for memory disaggregation	edm
topological neural networks over the air	AirTNN
from markov to laplace: how mamba in-context learns markov chains	Markov-Mamba

2025-02-14

paper	code
a-kit: adaptive kalman-informed transformer	a-kit
computing capacity-cost functions for continuous channels in wasserstein space	continuous_channel
lir-livo: a lightweight,robust lidar/vision/inertial odometry with illumination-resilient deep features	LIR-LIVO
an overview and solution for democratizing ai workflows at the network edge	NAOMI
criteria-aware graph filtering: extremely fast yet accurate multi-criteria recommendation	CA-GF
application of tabular transformer architectures for operating system fingerprinting	tabulart-os-fingerprinting

2025-02-13

paper	code
safedrones: real-time reliability evaluation of uavs using executable digital dependable identities	safedrones
an exact theory of causal emergence for linear stochastic iteration systems	an_exact_causal_emergence_theory
regression coefficient estimation from remote sensing maps	uncertainty-quantification
sustaindc: benchmarking for sustainable data center control	dc-rl
supervising smart home device interactions: a profile-based firewall approach	smart-home-firewall
soft reverse reconciliation for discrete modulations	qam-reconciliation
the art of misclassification: too many classes, not enough points	the-art-of-misclassification

2025-02-12

paper	code
pointwise-sparse actuator scheduling for linear systems with controllability guarantee	sparse-control
unsure: self-supervised learning with unknown noise level and stein's unbiased risk estimate	unsure
unidb: a unified diffusion bridge framework via stochastic optimal control	unidb
a view on learning robust goal-conditioned value functions: interplay between rl and mpc	RL-MPC
openranet: neuralized spectrum access by joint subcarrier and power allocation with optimization-based deep learning	openranet
the causal information bottleneck and optimal causal variable abstractions	cib-optimization-psagd

2025-02-11

paper	code
a reinforcement learning approach to sensing design in resource-constrained wireless networked control systems	processingnetworks-rl
mixed graph signal analysis of joint image denoising / interpolation	icassp24-joint
vrem-fl: mobility-aware computation-scheduling co-design for vehicular federated learning	vrem-fl
endmember extraction from hyperspectral images using self-dictionary approach with linear programming	EEHT
a new framework for nonlinear kalman filters	a-new-framework-for-nonlinear-kalman-filters
multi-scale cell decomposition for path planning using restrictive routing potential fields	Larp
marine spatial planning techniques with a case study on wave-powered offshore aquaculture farms	aquaculture
simulation-aided policy tuning for black-box robot learning	hci-gibo
scalable wavelength arbitration for microring-based dwdm transceivers	wdm-simulator
adaptive economic model predictive control: performance guarantees for nonlinear systems	aempc
learned bayesian cram'er-rao bound for unknown measurement models using score neural networks	learned-bcrb
asap: aligning simulation and real-world physics for learning agile humanoid whole-body skills	asap
lead: large foundation model for eeg-based alzheimer's disease detection	lead
decentralized online ensembles of gaussian processes for multi-agent systems	DecentralizedOnlineGPs
lie-algebra adaptive tracking control for rigid body dynamics	Lie-algebra-Adaptive-Control-Single-Rigid-Body-Dynamics
on the convergence and stability of upside-down reinforcement learning, goal-conditioned supervised learning, and online decision transformers	eudrl-gcsl-odt-convergence-public
graph neural networks for efficient ac power flow prediction in power grids	gnn-optimalpowerflow
retrieving filter spectra in cnn for explainable sleep stage classification	msa-cnn
practical and configurable network traffic classification using probabilistic machine learning	Practical-Configurable-Network-Traffic-Classification
performance prediction of on-nic network functions with multi-resource contention and traffic awareness	stress-ng
pcodec: better compression for numerical sequences	pcodec

2025-02-10

paper	code
c codegen considered unnecessary: go directly to binary, do not pass c. compilation of julia code for deployment in model-based engineering	discretepids.jl
decoding human attentive states from spatial-temporal eeg patches using transformers	eeg-patchformer
enhancing reasoning to adapt large language models for domain-specific applications	generative-ai-for-semiconductor-physical-design
dynamic incentive selection for hierarchical convex model predictive control	incentive-design-mpc
explainable and externally validated machine learning for neuropsychiatric diagnosis via electrocardiograms	cardiodiag
ktwin: a serverless kubernetes-based digital twin platform	ktwin-article
bayes-optimal learning of an extensive-width neural network from quadratically many samples	ExtensiveWidthQuadraticSamples

2025-02-07

paper	code
on robust reinforcement learning with lipschitz-bounded policy networks	Lipschitz-RL-Atari
robust model predictive control exploiting monotonicity properties	robmpcexploitmon
m$^3$pc: test-time model predictive control for pretrained masked trajectory model	m3pc
gravity compensation of the dvrk-si patient side manipulator based on dynamic model identification	dvrk_si_psm_gravity_compensation
every call is precious: global optimization of black-box functions with unknown lipschitz constants	ECP

2025-02-06

paper	code
mixed-integer linear programming approaches for tree partitioning of power networks	tree-partitioning
forzaeth race stack -- scaled autonomous head-to-head racing on fully commercial off-the-shelf hardware	race_stack
managing o-ran networks: xapp development from zero to hero	xapp_development_zero_to_hero
predictive spliner: data-driven overtaking in autonomous racing using opponent trajectory prediction	predictive-spliner
papagei: open foundation models for optical physiological signals	papagei-foundation-model
an exposition of pathfinding strategies within lightning network clients	ln-pathfinding

2025-02-05

paper	code
control barrier functions for collision avoidance between strongly convex regions	cbf-convex-maps
violindiff: enhancing expressive violin synthesis with pitch bend conditioning	ViolinDiff
posterior-mean rectified flow: towards minimum mse photo-realistic image restoration	PMRF
less is more: simplifying network traffic classification leveraging rfcs	LiM

2025-02-04

paper	code
dynamic modeling and control of a two-reactor metal hydride energy storage system	hydride-linearization-model
shapley-based explainable ai for clustering applications in fault diagnosis and prognosis	xai-clustering-phm
distributional soft actor-critic with three refinements	dsac-v2
reinforcement learning with model predictive control for highway ramp metering	mpcrl-for-ramp-metering
predictable reinforcement learning dynamics through entropy rate minimization	parl
a new framework for nonlinear kalman filters	a-new-framework-for-nonlinear-kalman-filters
certifiable reachability learning using a new lipschitz continuous value function	Lipschitz_Continuous_Reachability_Learning
neurolm: a universal multi-task foundation model for bridging the gap between language and eeg signals	neurolm
learning multiple initial solutions to optimization problems	miso
multiple testing in multi-stream sequential change detection	multistream-change-detectors
vision-based fuzzy control system for smart walkers: enhancing usability for stroke survivors with unilateral upper limb impairments	Fuzzy-Control-Smart-Walker
physics-inspired distributed radio map estimation	PI-DRME
a wearable device dataset for mental health assessment using laser doppler flowmetry and fluorescence spectroscopy sensors	wearable_ldf-fs
asap: aligning simulation and real-world physics for learning agile humanoid whole-body skills	asap
interactive learning of physical object properties through robot manipulation and database of object measurements	actsel
scalable thompson sampling via ensemble++ agent	ensemble_plus_plus
neuromorphic wireless split computing with multi-level spikes	neurocomm-msnn
qmdb: quick merkle database	qmdb
simulating application behavior for network monitoring and security	appbehaviournetworksim

2025-02-03

paper	code
communication- and computation-efficient distributed submodular optimization in robot mesh networks	resource-aware-coordination-airsim
energydiff: universal time-series energy data generation using diffusion models	energydiff-pub
layer-adaptive state pruning for deep state space models	last
autoflow: an autoencoder-based approach for ip flow record compression with minimal impact on traffic classification	autoflow

2025-01-31

paper	code
a general framework for supporting economic feasibility of generator and storage energy systems through capacity and dispatch optimization	ecogen-ccd
approximation properties relative to continuous scale space for hybrid discretizations of gaussian derivative operators	pyscsp
fitting multiple machine learning models with performance based clustering	function-clustering
physics-based battery model parametrisation from impedance data	pybop
on the challenges of detecting mci using eeg in the wild	eeg_mci
transrad: retentive vision transformer for enhanced radar object detection	transrad
estimating multi-chirp parameters using curvature-guided langevin monte carlo	ChirpEstimation
resampling filter design for multirate neural audio effect processing	resampling_neural_afx
an attentive graph agent for topology-adaptive cyber defence	cyberdreamcatcher

2025-01-30

paper	code
competency-aware planning for probabilistically safe navigation under perception uncertainty	parce-nav
a large synthetic dataset for machine learning applications in power transmission grids	PowerData
a dataset generation toolbox for dynamic security assessment: on the role of the security boundary	dsa-learn
floodgates up to contain the deepc and limit extrapolation	floodgatesup-deepc
netfound: foundation model for network security	netFound
layerplexrank: exploring node centrality and layer influence through algebraic connectivity in multiplex networks	LayerPlexRank
multiplexed quantum communication with surface and hypergraph product codes	multiplexed_toric

2025-01-29

paper	code
whole heart perfusion with high-multiband simultaneous multislice imaging via linear phase modulated extended field of view (smile)	SMILE
network risk estimation: a risk estimation paradigm for cyber networks	nre
safe gradient flow for bilevel optimization	sgf-blo
a general bayesian framework for informative input design in system identification	informative_input_design
adaptive multipliers for extrapolation in frequency	adaptiveextrapolationinfrequency
bounds and codes for general phased burst errors	pbe
dapps: enabling real-time ai-based open ran control	dapp-framework
eclypse: a python framework for simulation and emulation of the cloud-edge continuum	eclypse

2025-01-28

paper	code
gradient networks	gradientnetworks
sensor-based distributionally robust control for safe robot navigation in dynamic environments	DR_Safe_Navigation
sindyg: sparse identification of nonlinear dynamical systems from graph-structured data	SINDyG
enhancing glucose level prediction of icu patients through hierarchical modeling of irregular time-series	MITST
deep multimodal learning for real-time ddos attacks detection in internet of vehicles	deep-multimodal-learning-for-real-time-ddos-attacks-detection-in-internet-of-vehicles
enhancing visual inspection capability of multi-modal large language models on medical time series with supportive conformalized and interpretable small specialized models	Conformalized-Multiple-Instance-Learning-For-MedTS
wifi csi based temporal activity detection via dual pyramid network	wifitad
information consistent pruning: how to efficiently search for sparse networks?	infcop

2025-01-27

paper	code
input convex lipschitz rnn: a fast and robust approach for engineering tasks	iclrnn
polynomial selection in spectral graph neural networks: an error-sum of function slices approach	tfgnn
electricityemissions.jl: a framework for the comparison of carbon intensity signals	electricityemissions.jl
5g ldpc linear transformer for channel decoding	5g-decoder

2025-01-24

paper	code
orthogonal transforms in neural networks amount to effective regularization	orthogonal-neural-networks
s4sleep: elucidating the design space of deep-learning-based sleep stage classification models	s4sleep
feature characterization for profile surface texture	feature-characterization-for-profile-surface-texture
robust simultaneous multislice mri reconstruction using deep generative priors	roger
unsure: self-supervised learning with unknown noise level and stein's unbiased risk estimate	unsure
numerically robust fixed-point smoothing without state augmentation	code-numerically-robust-fixedpoint-smoother
what if we had used a different app? reliable counterfactual kpi analysis in wireless systems	inference_dt_code
comparative withholding behavior analysis of historical energy storage bids in california	caiso-energystorage
radio map estimation via latent domain plug-and-play denoising	LaPnP
risk and vulnerability assessment of energy-transportation infrastructure systems to extreme weather	extreme-weather-risk-assessment-and-vulnerability-identification
interference prediction using gaussian process regression and management framework for critical services in local 6g networks	gpr-ieeewcnc2025
a dual-polarization feature fusion network for radar automatic target recognition based on hrrp sequence	dpffn
wfcrl: a multi-agent reinforcement learning benchmark for wind farm control	wfcrl-env
gentl: a general transfer learning model for building thermal dynamics	GenTL
occamy: a preemptive buffer management for on-chip shared-memory switches	occamy

2025-01-23

paper	code
certifiable deep learning for reachability using a new lipschitz continuous value function	Lipschitz_Continuous_Reachability_Learning
multitok: variable-length tokenization for efficient llms adapted from lzw compression	multitok
ppo-based vehicle control for ramp merging scheme assisted by enhanced c-v2x	ppo-based-vehicle-control-for-ramp-merging-scheme-assisted-by-enhanced-c-v2x
making temporal betweenness computation faster and restless	twbc
multi-objective hyperparameter selection via hypothesis testing on reliability graphs	rg-pt

2025-01-22

paper	code
cold: concurrent loads disaggregator for non-intrusive load monitoring	cold-nilm
beamsense: rethinking wireless sensing with mu-mimo wi-fi beamforming feedback	BeamSense
simpsi: a simple strategy to preserve spectral information in time series data augmentation	simpsi
robust predictive motion planning by learning obstacle uncertainty	robust-mpc-motion-planning-by-learning-obstacle-uncertainties
airpilot: interpretable ppo-based drl auto-tuned nonlinear pid drone controller for robust autonomous flights	drlpiddronecontrol
polyclean: atomic optimization for super-resolution imaging and uncertainty estimation in radio interferometry	polyclean
ecgrecover: a deep learning approach for electrocardiogram signal completion	ecgrecover
sustaindc: benchmarking for sustainable data center control	dc-rl
the bouc-wen model for binary direct collinear collisions of convex viscoplastic bodies	bwbcl
finding the nearest bounded-real port-hamiltonian system	nearestbrsysphform
information-driven design of imaging systems	encodinginformation
what should a neuron aim for? designing local objective functions based on information theory	infomorphic_networks
a stochastic geometry based techno-economic analysis of ris-assisted cellular networks	TechnoEconomic
bounds and codes for general phased burst errors	pbe

2025-01-20

paper	code
stochastic optimal control via local occupation measures	markovbounds.jl
surrogate modeling and control of medical digital twins	Metamodeling-and-Control-of-Medical-Digital-Twins_2024
a fairness-oriented reinforcement learning approach for the operation and control of shared micromobility services	fairmss
sensor-based distributionally robust control for safe robot navigation in dynamic environments	DR_Safe_Navigation
adaptive and parallel split federated learning in vehicular edge computing	AdaptiveSplitFederatedLearning
ruling the unruly: designing effective, low-noise network intrusion detection rules for security operations centers	suricata-check

2025-01-17

paper	code
sparsity-aware distributed learning for gaussian processes with linear multiple kernel	slim-kl
hierarchical deep reinforcement learning for adaptive resource management in integrated terrestrial and non-terrestrial networks	Spectrum-Sharing-Hierarchical-DRL
a dataset generation toolbox for dynamic security assessment: on the role of the security boundary	dsa-learn
multi-task deep-learning for sleep event detection and stage classification	sleep-events-detection
architecture and protocols for all-photonic quantum repeaters	repeater-graph-state-protocol-based-on-half-rgs
multiplexed quantum communication with surface and hypergraph product codes	multiplexed_toric
leveraging fine-tuned retrieval-augmented generation with long-context support: for 3gpp standards	oKUmura_AI_Telecom_challenge
enhanced sps velocity-adaptive scheme: access fairness in 5g nr v2i networks	enhanced-sps-velocity-adaptivescheme-access-fariness-in-5g-nr-v2i-networks

2025-01-16

paper	code
enforcing contraction via data	codes-for-contraction-paper
supplygraph: a benchmark dataset for supply chain planning using graph neural networks	SupplyGraph
proprioception is all you need: terrain classification for boreal forests	BorealTC
approximation properties relative to continuous scale space for hybrid discretizations of gaussian derivative operators	pyscsp
crossfi: a cross domain wi-fi sensing framework based on siamese network	ESP32-Realtime-System
a discrete-sequence dataset for evaluating online unsupervised anomaly detection approaches for multivariate time series	path
on the surprising effectiveness of spectrum clipping in learning stable linear dynamics	spec_clip
rifo: pushing the efficiency of programmable packet schedulers	rifo
diffusion models as network optimizers: explorations and analysis	DiffSG
rf-3dgs: wireless channel modeling with radio radiance field and 3d gaussian splatting	rf-3dgs

2025-01-15

paper	code
uav trajectory planning with path processing	TrajectoryPathProcess
layer-adaptive state pruning for deep state space models	last
stochastic integration based estimator: robust design and stone soup implementation	fusion2024_sif
radar signal recognition through self-supervised learning and domain adaptation	radcharssl
multiple testing in multi-stream sequential change detection	multistream-change-detectors
analyzing the role of the dso in electricity trading of vpps via a stackelberg game model	Code_of_bilevel_DSO_VPPs
an open source validation system for continuous arterial blood pressure measuring sensors	cam-bpw-sim
efficient and accurate full-waveform inversion with total variation constraint	efficient_and_accurate_full-waveform_inversion_with_total_variation_constraint
private collaborative edge inference via over-the-air computation	collaborative-inference-oac
qmdb: quick merkle database	qmdb

2025-01-14

paper	code
zeroth-order actor-critic: an evolutionary framework for sequential decision problems	zoac-tevc
usv-auv collaboration framework for underwater tasks under extreme sea conditions	usv-auv-colab
the bouc-wen model for binary direct collinear collisions of convex viscoplastic bodies	bwbcl
efficient estimation of relaxed model parameters for robust uav trajectory optimization	parameter-affine-relaxation
asynchronous federated learning: a scalable approach for decentralized machine learning	asynchronous-federated-learning
advancing single-snapshot doa estimation with siamese neural networks for sparse linear arrays	snns_sla
data driven environmental awareness using wireless signals	environmental-classification_ml

2025-01-13

paper	code
decomposed linear dynamical systems (dlds) for learning the latent components of neural dynamics	dLDS-Discrete-Python-Model
the computation of approximate feedback stackelberg equilibria in multi-player nonlinear constrained dynamic games	feedbackstackelberggames.jl
orthogonal projection-based regularization for efficient model augmentation	orthogonal-augmentation
bright: a globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response	bright
ktwin: a serverless kubernetes-based digital twin platform	ktwin-article

2025-01-10

paper	code
smoothed separable nonnegative matrix factorization	smoothed-separable-nmf
deep nonnegative matrix factorization with beta divergences	deep-beta-nmf-public
checking the sufficiently scattered condition using a global non-convex optimization software	check-ssc
dual simplex volume maximization for simplex-structured matrix factorization	maxvol_dual
convex optimization of initial perturbations toward quantitative weather control	Weather-Control-by-InitCond
gsvd-nmf: recovering missing features in non-negative matrix factorization	gsvdinitialization.jl
adaptive probabilistic planning for the uncertain and dynamic orienteering problem	Uncertain-Dynamic-OP
automotive speed estimation: sensor types and error characteristics from obd-ii to adas	navinst19
drl-based medium-term planning of renewable-integrated self-scheduling cascaded hydropower to guide wholesale market participation	drl-vschs-planning
enhancing listened speech decoding from eeg via parallel phoneme sequence prediction	icassp25-fesde-phoneme
hierarchical decomposed dual-domain deep learning for sparse-view ct reconstruction	hdd-dl-for-svct
deterministic and reliable software-defined vehicles: key building blocks, challenges, and vision	linux

2025-01-09

paper	code
manifold filter-combine networks	mfcn
unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging	mmcl-ecg-cmr
entropy-regularized diffusion policy with q-ensembles for offline reinforcement learning	entropy-offlineRL
a survey of spatio-temporal eeg data analysis: from models to applications	llms4ts
a peaceman-rachford splitting approach with deep equilibrium network for channel estimation	PR-DEN
fsc-loss: a frequency-domain structure consistency learning approach for signal data recovery and reconstruction	mpi_ssim_mix_loss

2025-01-08

paper	code
recommender systems and reinforcement learning for human-building interaction and context-aware support: a text mining-driven review of scientific literature	recommender-sys-for-buildings-textmining-review
radar signal recognition through self-supervised learning and domain adaptation	radcharssl
efficacy of full-packet encryption in mitigating protocol detection for evasive virtual private networks	491-utils

2025-01-07

paper	code
automated security response through online learning with adaptive conjectures	csle
normalizing flow-based differentiable particle filters	normalizing-flows-dpfs
real-time aiot for uav antenna interference detection via edge-cloud collaboration	edgeant
st-hcss: deep spatio-temporal hypergraph convolutional neural network for soft sensing	st-hcss
easing optimization paths: a circuit perspective	pal
remote inference over dynamic links via adaptive rate deep task-oriented vector quantization	artoveq
udmc: unified decision-making and control framework for urban autonomous driving with motion prediction of traffic participants	udmc_carla
msa-cnn: a lightweight multi-scale cnn with attention for sleep stage classification	msa-cnn
intent-aware drl-based noma uplink dynamic scheduler for iiot	intent-aware-drl-based-noma-uplink-dynamic-scheduler-for-iiot
prioritized information bottleneck theoretic framework with distributed online learning for edge video analytics	pib-prioritized-information-bottleneck-framework

2024-12-31

paper	code
online learning and control for data-augmented quadrotor model	mpc_quad_ros
decentralized optimization in networks with arbitrary delays	dt-go
physics-informed rl for maximal safety probability estimation	pirl_acc2024
unleashing the power of data tsunami: a comprehensive survey on data assessment and selection for instruction tuning of language models	fantastic-data-engineering
leveraging symmetry to accelerate learning of trajectory tracking controllers for free-flying robotic systems	eqtrackingcontrol
e-sort: empowering end-to-end neural network for multi-channel spike sorting with transfer learning and fast post-processing	e-sort
a multi-agent multi-environment mixed q-learning for partially decentralized wireless network optimization	icassp-25-appendix
assessing the optimistic bias in the natural inflow forecasts: a call for model monitoring in brazil	inflowforecastbias_data
recommender systems and reinforcement learning for human-building interaction and context-aware support: a text mining-driven review of scientific literature	recommender-sys-for-buildings-textmining-review
mobilenetv2: a lightweight classification model for home-based sleep apnea screening	Easy-MobileNetV2
online adaptive platoon control for connected and automated vehicles via physics enhanced residual learning	AV-Control-PERL_Platooning
schedulability analysis in time-sensitive networking: a systematic literature review	Database-schedulability-analysis-in-TSN
toward intelligent and secure cloud: large language model empowered proactive defense	LLM-PD
causal hangover effects	nba-party
distributed mixture-of-agents for edge inference with large language models	distributed_moa

2024-12-30

paper	code
dero: dead reckoning based on radar odometry with accelerometers aided for robot localization	dero
nn-etm: enabling safe neural network-based event-triggering mechanisms for consensus problems	nn-etm
3d-speaker-toolkit: an open-source toolkit for multimodal speaker verification and diarization	3D-Speaker
rapid and power-aware learned optimization for modular receive beamforming	Power-Aware-Deep-Unfolding-for-Beamforming
seasonal performance evaluation of a hybrid pv-wind-battery power system for a mars base	epecs-2024
zema dataset: a comprehensive study of yaredawi zema with a focus on horologium chants	ChantingModeClassification
computational analysis of yaredawi yezema silt in ethiopian orthodox tewahedo church chants	ChantingModeClassification
parametrizations of all stable closed-loop responses: from theory to neural network control design	outputSLS
multi-condition fault diagnosis of dynamic systems: a survey, insights, and prospects	Multi-Condition-Fault-Diagnosis
performance evaluation of iot lora networks on mars through ns-3 simulations	MarsPropagationLoss
wifi csi based temporal activity detection via dual pyramid network	wifitad

2024-12-25

paper	code
a pac-bayesian framework for optimal control with stability guarantees	pac-snoc
cognitioncapturer: decoding visual stimuli from human eeg signal with multimodal information	cognitioncapturer
cwa-t: a channelwise autoencoder with transformer for eeg abnormality detection	cae-t
noisereduce: domain general noise reduction for time series signals	noisereduce
network models of expertise in the complex task of operating particle accelerators	Expertise-in-Operating-Particle-Accelerators-through-Network-Models-of-Performance
a zero-shot physics-informed dictionary learning approach for sound field reconstruction	local_soundfield_reconstruction
development and application of a decentralized domain name service	ddns
l3tc: leveraging rwkv for learned lossless low-complexity text compression	l3tc-leveraging-rwkv-for-learned-lossless-low-complexity-text-compression

2024-12-24

paper	code
towards efficient mppi trajectory generation with unscented guidance: u-mppi control strategy	u-mppi
integrating systemc-ams power modeling with a risc-v iss for virtual prototyping of battery-operated embedded devices	messy
distribution grids may be a barrier to residential electrification	edgie
robust heart rate detection via multi-site photoplethysmography	MultiSite-PPG-Robust_HeartRate
asynchronous federated learning: a scalable approach for decentralized machine learning	asynchronous-federated-learning
efficacy of full-packet encryption in mitigating protocol detection for evasive virtual private networks	491-utils
rate of model collapse in recursive training	rate-of-model-collapse

2024-12-23

paper	code
efficient network embedding by approximate equitable partitions	EmbNetworks
predictive spliner: data-driven overtaking in autonomous racing using opponent trajectory prediction	predictive-spliner
learning cortico-muscular dependence through orthonormal decomposition of density ratios	corticomuscular-eigen-encoder
data publishing in mechanics and dynamics: challenges, guidelines, and examples from engineering design	connectinggaitsinenergeticallyconservativeleggedsystems
quantifying the benefit of load uncertainty reduction for the design of district energy systems under grid constraints using the value of information	Building-Design-VoI
faithful and accurate self-attention attribution for message passing neural networks via the computation tree viewpoint	gatt

2024-12-20

paper	code
fft and orthogonal discrete transform on weight lattices of semi-simple lie groups	basis-change-Chebyshev-transforms
resource-aware iot control: saving communication through predictive triggering	predictive_and_self_triggering
fully decentralized joint learning of personalized models and collaboration graphs	Dada
estimating multi-year 24/7 origin-destination demand using high-granular multi-source traffic data	DPFE
from analog to digital: multi-order digital joint coding-modulation for semantic communication	semantic-mdjcm
learning deep dissipative dynamics	deepdissipativemodel
design of distributed controller for discrete-time systems via the integration of extended lmi and clique-wise decomposition	dt_dist
safety filtering while training: improving the performance and sample efficiency of reinforcement learning agents	safe-control-gym
radiance field delta video compression in edge-enabled vehicular metaverse	rfdvc
ecg-byte: a tokenizer for end-to-end generative electrocardiogram language modeling	ecg-byte
faultexplainer: leveraging large language models for interpretable fault detection and diagnosis	faultexplainer
exploiting sparse structures and synergy designs to advance situational awareness of electrical power grid	dynamic

2024-12-19

paper	code
a mixed-integer approach for motion planning of nonholonomic robots under visible light communication constraints	milp_vlc_motion_planning
multi-agent reinforcement learning via distributed mpc as a function approximator	dmpcrl-concept
distributed model predictive control for piecewise affine systems based on switching admm	stable-dmpc-pwa
regime learning for differentiable particle filters	Regime_Switching
reinforcement learning-based model predictive control for greenhouse climate control	mpcrl-greenhouse
differentiable interacting multiple model particle filtering	DIMMPF
comparing differentiable and dynamic ray tracing: introducing the multipath lifetime map	DiffeRT
heartbert: a self-supervised ecg embedding model for efficient and effective medical signal analysis	heartbert
physics-based battery model parametrisation from impedance data	pybop
event-based photometric bundle adjustment	epba
optimizing age of information in internet of vehicles over error-prone channels	blockchain-enabled-variational-information-bottleneck-for-minimizing-aoi-in-iov
magnifier: detecting network access via lightweight traffic-based fingerprints	magnifier
information-theoretic generative clustering of documents	lmgc
transmit what you need: task-adaptive semantic communications for visual information	jhpark.github.io

2024-12-18

paper	code
approximation properties relative to continuous scale space for hybrid discretizations of gaussian derivative operators	pyscsp
fast computation of the discrete fourier transform square index coefficients	fastsicdft
coordinating planning and tracking in layered control policies via actor-critic learning	layered-ac
usv-auv collaboration framework for underwater tasks under extreme sea conditions	usv-auv-colab
end-to-end learning of transmitter and receiver filters in bandwidth limited fiber optic communication systems	marble-end-to-end
ecgtizer: a fully automated digitizing and signal recovery pipeline for electrocardiograms	ecgtizer
generative modeling and data augmentation for power system production simulation	NeurIPS2024
predicting workload in virtual flight simulations using eeg features (including post-hoc analysis in appendix)	flight-sim-cognitive-workload-eeg-prediction
optimal control operator perspective and a neural adaptive spectral method	NASM
a marl based multi-target tracking algorithm under jamming against radar	muav-mtt-mappo
adaptive economic model predictive control: performance guarantees for nonlinear systems	aempc
learning of patch-based smooth-plus-sparse models for image reconstruction	Smooth-Plus-Sparse-Model
residual-inr: communication efficient on-device learning using implicit neural representation	residual-inr
edm: an ultra-low latency ethernet fabric for memory disaggregation	edm

2024-12-17

paper	code
toward value-oriented renewable energy forecasting: an iterative learning approach	an-iterative-solution-approach-for-value-oriented-forecasting
towards high-quality and efficient speech bandwidth extension with parallel amplitude and phase prediction	AP-BWE
communication-efficient federated learning via clipped uniform quantization	ClippedQuantFL
neural operator feedback for a first-order pide with spatially-varying state delay	NeuralOperatorFeedbackWithSpatiallyVaryingStateDelay
cognitioncapturer: decoding visual stimuli from human eeg signal with multimodal information	cognitioncapturer
a real-time system for scheduling and managing uav delivery in urban	uavdeliverysystem
dual unscented kalman filter architecture for sensor fusion in water networks leak localization	d-ukf-aw-gsi
revelations: a decidable class of pomdps with omega-regular objectives	pomdps-reveal
diffusion models as network optimizers: explorations and analysis	DiffSG
gdsg: graph diffusion-based solution generator for optimization problems in mec networks	gdsg

2024-12-16

paper	code
you can wash hands better: accurate daily handwashing assessment with smartwatches	uwash
synthesis of temporally-robust policies for signal temporal logic tasks using reinforcement learning	timerobustlearning
toward foundation model for multivariate wearable sensing of physiological signals	normwear
fdm-bench: a comprehensive benchmark for evaluating large language models in additive manufacturing tasks	fdm-bench
model order reduction of large-scale wind farms: a data-driven approach	windfarmmor
a framework for testing federated learning algorithms using an edge-like environment	framework-fl-testing

2024-12-13

paper	code
towards real-world deployment of reinforcement learning for traffic signal control	lemgorl
learning safety in model-based reinforcement learning using mpc and gaussian processes	learning-safety-in-mpc-based-rl
on fast-converged deep reinforcement learning for optimal dispatch of large-scale power systems under transient security constraints	fcdrl_tscopf
high-rate phase association with travel time neural fields	phase_association
adaptive data-driven prediction in a building control hierarchy: a case study of demand response in switzerland	risk_src_yingzhao
commonpower: a framework for safe data-driven smart grid control	commonpower
diffusion predictive control with constraints	dpcc
learned compression for compressed learning	LCCL
adaptive address family selection for latency-sensitive applications on dual-stack hosts	ccr23-artefacts

2024-12-12

paper	code
large width penalization for neural network-based prediction interval estimation	PIestim_sumk
a novel multiscale spatial phase estimate with the structure multivector	ssvm2025
srfs: parallel processing fault-tolerant ros2-based flight software for the space ranger cubesat	sr-flight-software
sinergym -- a virtual testbed for building energy optimization with reinforcement learning	sinergym
estimating the number of http/3 responses in quic using deep learning	VisQUIC

2024-12-11

paper	code
learning stable and passive neural differential equations	stablenode
brsr-opgan: blind radar signal restoration using operational generative adversarial network	BRSR-OpGAN
noise covariances identification by mdm: weighting, recursion, and implementation	MDM_SYSID2024
autonomy in the real-world: autonomous trajectory planning for asteroid reconnaissance via stochastic optimization	muscat
cbramod: a criss-cross brain foundation model for eeg decoding	cbramod
stochastic integration based estimator: robust design and stone soup implementation	fusion2024_sif
little to lose: the case for a robust european green hydrogen strategy	eu-hydrogen
explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study	cardiodiag
a truly concurrent semantics for reversible ccs	reversible-ccs-as-nets
superficial consciousness hypothesis for autoregressive transformers	phimesasi
distributed optimization of age of incorrect information with dynamic epistemic logic	delta_medium_access

2024-12-10

paper	code
parametric and state estimation of stationary mems-imus: a tutorial	multiple-mems-imus-estimation
a time-causal and time-recursive analogue of the gabor transform	pygabor
learning state-augmented policies for information routing in communication networks	state-augmeted-information-routing
finding the missing data: a bert-inspired approach against package loss in wireless sensing	csi-bert
attention-aware semantic communications for collaborative inference	semantic-attention
understanding the differences in foundation models: attention, state space models, and recurrent neural networks	dsf-mqar
continuous sleep depth index annotation with deep learning yields novel digital biomarkers for sleep health	SDI
surpassing cosine similarity for multidimensional comparisons: dimension insensitive euclidean metric (diem)	diem
what if we had used a different app? reliable counterfactual kpi analysis in wireless systems	inference_dt_code
distributed thompson sampling under constrained communication	distributed-bo
resolution-adaptive micro-doppler spectrogram for human activity recognition	resolution-adaptive-spectrogram
m$^3$pc: test-time model predictive control for pretrained masked trajectory model	m3pc
powermamba: a deep state space model and comprehensive benchmark for time series prediction in electric power systems	PowerMamba
a quick primer on machine learning in wireless communications	eesc7v86-fall22
forte : finding outliers with representation typicality estimation	forte

2024-12-09

paper	code
interpretable ecg analysis for myocardial infarction detection through counterfactuals	vcce
outlier accommodation for gnss precise point positioning using risk-averse state estimation	outlier_accommodation_gnss_acc2024
usv-auv collaboration framework for underwater tasks under extreme sea conditions	usv-auv-colab
tft-multi: simultaneous forecasting of vital sign trajectories in the icu	tft-multi
livenet: robust, minimally invasive multi-robot control for safe and live navigation in constrained environments	livenet
netmind: adaptive ran baseband function placement by gcn encoding and maze-solving drl	netmind

2024-12-07

paper	code
convergence of learning dynamics in stackelberg games	Stackelberg-Code

2024-12-06

paper	code
reachable polyhedral marching (rpm): an exact analysis tool for deep-learned control systems	Neural-Network-Reach
on computation of approximate solutions to large-scale backstepping kernel equations via continuum approximation	continuum-kernels-power-series
pc-gym: benchmark environments for process control problems	pc-gym
what should a neuron aim for? designing local objective functions based on information theory	infomorphic_networks

2024-12-05

paper	code
an l-bfgs-b approach for linear and nonlinear system identification under $\ell_1$ and group-lasso regularization	jax-sysid
leveraging visibility graphs for enhanced arrhythmia classification with graph convolutional networks	ts2vvg
learning koopman-based stability certificates for unknown nonlinear systems	Unknown_Zubov_Koopman
koopman based trajectory optimization with mixed boundaries	koopmanbasedtrajectoryoptimizationwithmixedboundaries
the information geometry of umap	info-geometry-umap

2024-12-04

paper	code
robustness of quantum algorithms against coherent control errors	robustness-of-quantum-algorithms
pitn: physics-informed temporal networks for cuffless blood pressure estimation	acl-pitn
cooptimizing safety and performance with a control-constrained formulation	cooptimize_safety_performance
friday: real-time learning dnn-based stable lqr controller for nonlinear systems under uncertain disturbances	FRIDAY_CarSimu
reactive synthesis of sensor revealing strategies in hypergames on graphs	Reactive_synthesis_of_sensor_revealing_strategies
tab-fields: a maximum entropy framework for mission-aware adversarial planning	bluerov2_gym
development and application of a decentralized domain name service	ddns

2024-12-03

paper	code
robust graph filter identification and graph denoising from signal observations	graph_denoising
recurrences reveal shared causal drivers of complex time series	shrec
kronecker-structured sparse vector recovery with application to irs-mimo channel estimation	dsr
doorinet: door heading prediction through inertial deep learning	doorinet
sky-gvio: an enhanced gnss/ins/vision navigation with fcn-based sky-segmentation in urban canyon	sky-view-images
soundscape captioning using sound affective quality network and large language model	soundscaper
sample complexity bounds for linear system identification from a finite set	2024-bounds-finite-set-id
understanding generalizability of diffusion models requires rethinking the hidden gaussian structure	Understanding-Generalizability-of-Diffusion-Models-Requires-Rethinking-the-Hidden-Gaussian-Structure
snake-inspired mobile robot positioning with hybrid learning	MoRPINet
frequency-selective beamforming and single-shot beam training with dynamic metasurface antennas	FreqSelBeamformingBeamtrainingDMAs
efficient off-grid bayesian parameter estimation for kronecker-structured signals	JournalDecomOffGrid
differentiable high-order markov models for spectrum prediction	Datasets-Paper-Differentiable-High-Order-Markov-Models-for-Spectrum-Prediction
automatic differentiation-based full waveform inversion with flexible workflows	ADFWI
learning-based model predictive control for piecewise affine systems with feasibility guarantees	supervised-learning-pwa-mpc
pruned convolutional attention network based wideband spectrum sensing with sub-nyquist sampling	PCA-WSSNet
toward real-time edge ai: model-agnostic task-oriented communication with visual feature alignment	feature-alignment-TOC
characterizing and modeling ai-driven animal ecology studies at the edge	adae_model
state noise density identification of ltv system by kernel deconvolution	StateNoisePDFIdentification
amplitude response and square wave describing functions	square-wave-describing-functions
stlgame: signal temporal logic games in adversarial multi-agent systems	STLgame
structure-guided input graph for gnns facing heterophily	sg-gnn
rotation invariant quantization for model compression	riq
task-aware distributed source coding under dynamic bandwidth	task-aware-distributed-source-coding
a truly concurrent semantics for reversible ccs	reversible-ccs-as-nets
seldom: an anonymity network with selective deanonymization	thRSAhold

2024-12-02

paper	code
a time-causal and time-recursive analogue of the gabor transform	pygabor
robust stochastically-descending unrolled networks	unrolledglow
powerformer: a section-adaptive transformer for power flow adjustment	Powerformer
learning local control barrier functions for hybrid systems	neural_hybrid_cbf
adaptive control of reaction-diffusion pdes via neural operator-approximated gain kernels	NeuralOperatorParabolicAdaptiveControl
unleashing the power of data tsunami: a comprehensive survey on data assessment and selection for instruction tuning of language models	fantastic-data-engineering
predictive spliner: data-driven overtaking in autonomous racing using opponent trajectory prediction	predictive-spliner
large width penalization for neural network-based prediction interval estimation	PIestim_sumk
l4acados: learning-based models for acados, applied to gaussian process-based predictive control	l4acados
scaling transformers for low-bitrate high-quality speech coding	stable-codec
scalable exploration via ensemble++	ensemble_plus_plus
diffusion models meet network management: improving traffic matrix analysis with diffusion-based approach	DTM
fast mutual information computation for large binary datasets	bulk-MI

2024-11-28

paper	code
over-the-air learning-based geometry point cloud transmission	SEPT
calibrated adaptive teacher for domain adaptive intelligent fault diagnosis	cat
linear quadratic control of nonlinear systems with koopman operator learning and the nystr"om method	nys-koop-lqr
biometric authentication based on enhanced remote photoplethysmography signal morphology	rppg_biometrics
swim: short-window cnn integrated with mamba for eeg-based auditory spatial attention decoding	swim-asad
finding "good views" of electrocardiogram signals for inferring abnormalities in cardiac condition	goodviews_ecg
analytic continuation by feature learning	Analytic-Continuation-by-Feature-Learning
rl for mitigating cascading failures: targeted exploration via sensitivity factors	physics-guided-blackout-mitigation
a runtime-adaptive transformer neural network accelerator on fpgas	Transformer_on_FPGA
combined learning of linear parameter-varying models and robust control invariant sets	concur-qlpv-rci
the more, the better? evaluating the role of eeg preprocessing for deep learning applications	eegprepro
surveying the space of descriptions of a composite system with machine learning	description_space

2024-11-27

paper	code
bayesian kalmannet: quantifying uncertainty in deep learning augmented kalman filter	Uncertainty-extraction-in-Model-Based-DL
peernet: an end-to-end profiling tool for real-time networked robotic systems	peernet
safety filtering while training: improving the performance and sample efficiency of reinforcement learning agents	safe-control-gym
towards safe bayesian optimization with wiener kernel regression	SafeBO_WKR
zero-order control barrier functions for sampled-data systems with state and input dependent safety constraints	Zero-order-CBFs
robust bayesian optimization via localized online conformal prediction	LOCBO
x-cba: explainability aided catboosted anomal-e for intrusion detection system	xai-catboosted-anomale
fast and robust phase retrieval via deep expectation-consistent approximation	deepECpr

2024-11-26

paper	code
efficient wireless federated learning via low-rank gradient factorization	ota-lc
robust beamforming for ris-aided communications: gradient-based manifold meta learning	GMML
dero: dead reckoning based on radar odometry with accelerometers aided for robot localization	dero
lipschitz constant estimation for general neural network architectures using control tools	GLipSDP
robust beamforming with gradient-based liquid neural network	GLNN
real-world validation of safe reinforcement learning, model predictive control and decision tree-based home energy management systems	real_validation_saferl_treec_paper
competency-aware planning for probabilistically safe navigation under perception uncertainty	parce-nav
mecg-e: mamba-based ecg enhancer for baseline wander removal	MECG-E
modelpredictivecontrol.jl: advanced process control made easy in julia	mpcPackageJulia.tex
bring the heat: rapid trajectory optimization with pseudospectral techniques and the affine geometric heat flow equation	phlame
a dataset for evaluating online anomaly detection approaches for discrete multivariate time series	path
learning two-agent motion planning strategies from generalized nash equilibrium for model predictive control	Implicit-Game-Theoretic-MPC
deep policy gradient methods without batch updates, target networks, or replay buffers	avg
robust hybrid precoding for millimeter wave mu-miso system via meta-learning	ggml
dampening parameter distributional shifts under robust control and gain scheduling	robust-less-dist-shifts
multi-sources information fusion learning for multi-points nlos localization	AMDNloc
learning personalized treatment decisions in precision medicine: disentangling treatment assignment bias in counterfactual outcome prediction and biomarker identification	selection-bias-benchmark
redan: an empirical study on remote dos attacks against nat networks	Remote-DoS-Attacks-against-NAT-Networks
run-length-limited isi-mitigation (rlim) coding for molecular communication	mcchannelcoding

2024-11-25

paper	code
scalable-complexity steered response power mapping based on low-rank and sparse interpolation	lr-sp-int-srp
automated lane change via adaptive interactive mpc: human-in-the-loop experiments	interactive-motion-planning
modeling epidemic spread: a gaussian process regression approach	gpr_epi_modeling
understanding generalizability of diffusion models requires rethinking the hidden gaussian structure	Understanding-Generalizability-of-Diffusion-Models-Requires-Rethinking-the-Hidden-Gaussian-Structure
multipath mitigation technology-integrated gnss direct position estimation plug-in module	GPSL1-MMT-DPEmodule
privacy-preserving power flow analysis via secure multi-party computation	privacy-preserving-power-flow
recursive gaussian process state space model	gpssmproj
scalable wavelength arbitration for microring-based dwdm transceivers	wdm-simulator
cardiolab: laboratory values estimation and monitoring from electrocardiogram signals -- a multimodal deep learning approach	cardiolab
resolution-adaptive micro-doppler spectrogram for human activity recognition	resolution-adaptive-spectrogram
prioritized information bottleneck theoretic framework with distributed online learning for edge video analytics	pib-prioritized-information-bottleneck-framework
gemid: generalizable models for iot device identification	GeMID

2024-11-22

paper	code
ma-vae: multi-head attention-based variational autoencoder approach for anomaly detection in multivariate time-series applied to automotive endurance powertrain testing	ma-vae
computing optimal joint chance constrained control policies	jcc_opt_control
towards generative ray path sampling for faster point-to-point ray tracing	DiffeRT
identification of analytic nonlinear dynamical systems with non-asymptotic guarantees	real-analytic-nonlinear-sys-id
simulation-aided policy tuning for black-box robot learning	franka_pendulum
gramep: an alignment-free method based on the maximum entropy principle for identifying snps	gramep
hermes: a general-purpose proxy-enabled networking architecture	Hermes
pairsonic: helping groups securely exchange contact information	pairsonic
sounds good? fast and secure contact exchange in groups	pairsonic
iterative decoding of short bch codes and its post-processing	Short_BCH_Decoding_OSD
a multi-layer blockchain simulator and performance evaluation of social internet of vehicles with multi-connectivity management	V2XBlockchain

2024-11-21

paper	code
enhanced cross-dataset electroencephalogram-based emotion recognition using unsupervised domain adaptation	emotionrecognitionuda
matrix-scheduling of qsr-dissipative systems	matrix_scheduling_qsr_dissipative_systems
drl-based optimization for aoi and energy consumption in c-v2x enabled iov	drl-based-optimization-for-information-of-age-and-energy-consumption-in-c-v2x-enabled-iov

2024-11-20

paper	code
freezing of gait detection using gramian angular fields and federated learning from wearable sensors	fogsense
action-attentive deep reinforcement learning for autonomous alignment of beamlines	alignment_beamlines_rl
acing: actor-critic for instruction learning in black-box large language models	ACING

2024-11-19

paper	code
b-har: an open-source baseline framework for in depth study of human activity recognition datasets and workflows	B-HAR
supplygraph: a benchmark dataset for supply chain planning using graph neural networks	SupplyGraph
arnn: attentive recurrent neural network for multi-channel eeg signals to identify epileptic seizures	arnn
efficient estimation of relaxed model parameters for robust uav trajectory optimization	parameter-affine-relaxation
lightcode: light analytical and neural codes for channels with feedback	lightcode

2024-11-18

paper	code
pricing for multi-modal pickup and delivery problems with heterogeneous users	mdrp
boosted neural decoders: achieving extreme reliability of ldpc codes for 6g networks	ldpc_error_floor
analyzing electric vehicle, load and photovoltaic generation uncertainty using publicly available datasets	Public-Load-profile-Datasets
modelpredictivecontrol.jl: advanced process control made easy in julia	mpcPackageJulia.tex
a hybrid artificial intelligence system for automated eeg background analysis and report generation	ai_eeeg_report
efficient neural hybrid system learning and transition system abstraction for dynamical systems	Dual-Level-Dynamic-System-Modeling

2024-11-15

paper	code
learning-based model augmentation with lfrs	model-augmentation-public
large language models for power scheduling: a user-centric approach	llm-power-scheduling
single-channel electroencephalography decomposition by detector-atom network and its pre-trained model	detector-atom-net
learning-based control barrier function with provably safe guarantees: reducing conservatism with heading-aware safety margin	sigmarl
outsourcing control requires control complexity	learningrequiresintinf
information-driven design of imaging systems	encodinginformation

2024-11-14

paper	code
optimal vintage factor analysis with deflation varimax	optimal_deflation_varimax
morphological symmetries in robotics	morphosymm
gradient networks	gradientnetworks
a deep automotive radar detector using the radelft dataset	RaDelft-Dataset
inferring directed spectral information flow between mixed-frequency time series	mf-tfcca
recommender systems and reinforcement learning for building control and occupant interaction: a text-mining driven review of scientific literature	recommender-sys-for-buildings-textmining-review
large wireless model (lwm): a foundation model for wireless channels	lwm
explainable enrichment-driven graph reasoner (edgar) for large knowledge graphs with applications in drug repurposing	edgar
variable-length feedback codes via deep learning	DeepVLF

2024-11-13

paper	code
a deep recurrent-reinforcement learning method for intelligent autoscaling of serverless functions	dre-scale
physics-enhanced graph neural networks for soft sensing in industrial internet of things	PEGNN_SS
compact model parameter extraction via derivative-free optimization	dfo_parameter_extraction
marine spatial planning techniques with a case study on wave-powered offshore aquaculture farms	aquaculture
efficient and robust freeway traffic speed estimation under oblique grid using vehicle trajectory data	TW-LSMC
electricityemissions.jl: a framework for the comparison of carbon intensity signals	electricityemissions.jl
soundsil-ds: deep denoising and segmentation of sound-field images with silhouettes	soundsil-ds
effects of charging and discharging capabilities on trade-offs between model accuracy and computational efficiency in pumped thermal electricity storage	genx
optimal control of mechanical ventilators with learned respiratory dynamics	ventilators
rifo: pushing the efficiency of programmable packet schedulers	rifo
model reconstruction using counterfactual explanations: a perspective from polytope theory	model-reconstruction-using-counterfactuals
xdevsm: streamlining xapp development with a flexible framework for o-ran e2 service models	xdevsm

2024-11-12

paper	code
deep riemannian networks for end-to-end eeg decoding	eegspdnet
orchestration framework for open system models with autonomous riss and oblivious base stations	self-configuring-orchestration
mutual information estimation via $f$-divergence and data derangements	fdime
sigma-point kalman filter with nonlinear unknown input estimation via optimization and data-driven approach for dynamic systems	SPKF-nUI
reinforcement learning-based receding horizon control using adaptive control barrier functions for safety-critical systems	cdc2024_rl_adpative_mpc_cbf
$\mathsf{quito}$ $\textsf{v.2}$: trajectory optimization with uniform error guarantees under path constraints	quitov2
magnetic hysteresis modeling with neural operators	magnetic_hysteresis_neural_operator
multi-scale cell decomposition for path planning using restrictive routing potential fields	Larp
radiodiff: an effective generative diffusion model for sampling-free dynamic radio map construction	radiodiff
force-limited control of wave energy converters using a describing function linearization	IFAC_CAMS_2024
glinsat: the general linear satisfiability neural network layer by accelerated gradient descent	glinsat
the bouc-wen model for binary direct collinear collisions of convex viscoplastic bodies	bwbcl
receding hamiltonian-informed optimal neural control and state estimation for closed-loop dynamical systems	Hion
modeling nonlinear oscillator networks using physics-informed hybrid reservoir computing	hybrid_rc_for_nlons_paper_code
fitting multiple machine learning models with performance based clustering	function-clustering
deepcrf: deep learning-enhanced csi-based rf fingerprinting for channel-resilient wifi device identification	DeepCRF_TIFS
ultra-marginal feature importance: learning from data with causal guarantees	umfi
universal exact compression of differentially private mechanisms	poissonprivaterepr
f-kans: federated kolmogorov-arnold networks	F-KANs
understanding the role of equivariance in self-supervised learning	understanding-essl

2024-11-11

paper	code
pan-tompkins++: a robust approach to detect r-peaks in ecg signals	Pan-Tompkins-Plus-Plus
csm-h-r: a context modeling framework in supporting reasoning automation for interoperable intelligent systems and privacy protection	csm-h-r
entropy-regularized diffusion policy with q-ensembles for offline reinforcement learning	entropy-offlineRL
comparative analysis of nmpc and fuzzy pid controllers for trajectory tracking in omni-drive robots: design, simulation, and performance evaluation	omni-drive-robot-simulation
unmasking the role of remote sensors in comfort, energy and demand response	sensors4singlezonesystems
csi-gpt: integrating generative pre-trained transformer with federated-tuning to acquire downlink massive mimo channels	csi-gpt
exploiting the structure of two graphs with graph neural networks	io-gnn
analysing control-theoretic properties of nonlinear synthetic biology circuits	nlcontrollability
tangled program graphs as an alternative to drl-based control algorithms for uavs	drone_forest
large problems are not necessarily hard: a case study on distributed nmpc paying off	dmpc_scalability
zipnn: lossless compression for ai models	zipnn
trade: network and traffic-aware adaptive scheduling for microservices under dynamics	trade

2024-11-08

paper	code
robust low-cost drone detection and classification in low snr environments	noisy-drone-rf-signal-classification-v2
a new framework for nonlinear kalman filters	a-new-framework-for-nonlinear-kalman-filters
advancing free-space optical communication system architecture: performance analysis of varied optical ground station network configurations	fso-simulation
convergence and robustness of value and policy iteration for the linear quadratic regulator	2024-ConvergenceRobustness-VIPI
higher-order gnns meet efficiency: sparse sobolev graph neural networks	S2-GNN
semantic-aware resource management for c-v2x platooning via multi-agent reinforcement learning	semantic-aware-resource-management-for-c-v2x-platooning-via-multi-agent-reinforcement-learning
efficient channel estimation with shorter pilots in ris-aided communications: using array geometries and interference statistics	RIS-shorter-pilots
combinatorial client-master multiagent deep reinforcement learning for task offloading in mobile edge computing	ccm_madrl_mec
networkgym: reinforcement learning environments for multi-access traffic management in network simulation	networkgym

2024-11-07

paper	code
reconfigurable massive mimo: precoding design and channel estimation in the electromagnetic domain	pra
r-nerf: neural radiance fields for modeling ris-enabled wireless environments	R-NeRF
a safe and data-efficient model-based reinforcement learning system for hvac control	CLUE
optimal planning for heterogeneous autonomous teams with precedence and compatibility constraints and its application on power grid inspection with unmanned aerial vehicles	smart--flies
design and control of a robotic payload stabilization mechanism for rocket flights	stewie-robot
adversarial attacks on neural networks through canonical riemannian foliations	curvnetattack
an open api architecture to discover the trustworthy explanation of cloud ai services	xai-service
towards entropic constraints on quantum speedups	QI_Research
soft reverse reconciliation for discrete modulations	qam-reconciliation
learned codes for broadcast channels with feedback	gbcf

2024-11-06

paper	code
learning lyapunov-stable polynomial dynamical systems through imitation	stable-imitation-policy
a framework for real-time volcano-seismic event recognition based on multi-station seismograms and semantic segmentation models	volcano-seismic-segmentation
filternet: harnessing frequency filters for time series forecasting	filternet
nmformer: a transformer for noisy modulation classification in wireless communication	NMformer
layer-adaptive state pruning for deep state space models	last
data-driven sampling based stochastic mpc for skid-steer mobile robot navigation	Stochastic-MPPI
data matters: the case of predicting mobile cellular traffic	datamatters
teleoracle: fine-tuned retrieval-augmented generation with long-context support for network	oKUmura_AI_Telecom_challenge
conditional vendi score: an information-theoretic approach to diversity evaluation of prompt-based generative models	conditional-vendi

2024-11-05

paper	code
spectral clustering via orthogonalization-free methods	distributedlevp.jl
learning performance-oriented control barrier functions under complex safety constraints and limited actuation	pinn-cbf
a holistic power optimization approach for microgrid control based on deep reinforcement learning	district-microgrid-dataset
bounding stochastic safety: leveraging freedman's inequality with discrete-time control barrier functions	freedman
synthesizing eeg signals from event-related potential paradigms with conditional diffusion models	Conditional-EEG-Diffusion
quito v.2: trajectory optimization with uniform error guarantees under path constraints	quitov2
aligning large language models with representation editing: a control perspective	re-control
refining adhd diagnosis with eeg: the impact of preprocessing and temporal segmentation on classification accuracy	refining-adhd-diagnosis-with-eeg-preprocesing-and-temporal-segmentation
radiodiff: an effective generative diffusion model for sampling-free dynamic radio map construction	radiodiff
towards generative ray path sampling for faster point-to-point ray tracing	DiffeRT
understanding generalizability of diffusion models requires rethinking the hidden gaussian structure	Understanding-Generalizability-of-Diffusion-Models-Requires-Rethinking-the-Hidden-Gaussian-Structure
enhancing glucose level prediction of icu patients through irregular time-series analysis and integrated representation	MITST
risk-sensitive control as inference with r'enyi divergence	risk-sensitive-sac
multimodal trustworthy semantic communication for audio-visual event localization	MU_SC_for_VQA
ai-ready energy modelling for next generation ran	AIMM-simulator
learning multiple initial solutions to optimization problems	miso
energy-aware coverage planning for heterogeneous multi-robot system	energy-aware-coverage
towards safe bayesian optimization with wiener kernel regression	SafeBO_WKR
controlsynth neural odes: modeling dynamical systems with guaranteed convergence	controlsynth-neural-ode
llm honeypot: leveraging large language models as advanced interactive honeypot systems	llm-honeypot
redan: an empirical study on remote dos attacks against nat networks	Remote-DoS-Attacks-against-NAT-Networks
diffusion models as network optimizers: explorations and analysis	DiffSG

2024-11-04

paper	code
pay less but get more: a dual-attention-based channel estimation network for massive mimo systems with low-density pilots	dacen
du-in: discrete units-guided mask modeling for decoding speech from intracranial neural signals	du-in
hrrpgraphnet: make hrrps to be graphs for efficient target recognition	HRRPGraphNet
enhancing information freshness: an aoi optimized markov decision process dedicated in the underwater task	aoi-mdp
semantic knowledge distillation for onboard satellite earth observation image classification	snt-sentry
multi-group proportional representation in retrieval	multigroup-proportional-representation

2024-11-01

paper	code
knowledge equivalence in digital twins of intelligent systems	knowledge-equivalence-DT
optimizing attention and cognitive control costs using temporally-layered architectures	Temporally-Layered-Architecture
trust-aware safe control for autonomous navigation: estimation of system-to-human trust for trust-adaptive control barrier functions	mpc-trust-cbf
reinforced model predictive control via trust-region quasi-newton policy optimization	ecc24_tr_improved_qn_po_for_mpc_in_rl
difflight: a partial rewards conditioned diffusion model for traffic signal control with missing data	DiffLight-release
advancing free-space optical communication system architecture: performance analysis of varied optical ground station network configurations	fso-simulation
a peaceman-rachford splitting approach with deep equilibrium network for channel estimation	PR-DEN
carbon neutral greenhouse: economic model predictive control framework for education	ecompc-greenhouse-platform
generative ai-powered plugin for robust federated learning in heterogeneous iot networks	gaudi-fl
scalable kernel inverse optimization	Scalable-Kernel-Inverse-Optimization
cough-e: a multimodal, privacy-preserving cough detection algorithm for the edge	Cough-E
derivative-free data-driven control of continuous-time linear time-invariant systems	continuous-time_data-driven_control
a new broadcast primitive for bft protocols	ic
computation with quantum reed-muller codes and their mapping onto 2d atom arrays	RM127

2024-10-31

paper	code
mppi-ipddp: hybrid method of collision-free smooth trajectory generation for autonomous robots	mppi-ipddp
spectral graph pruning against over-squashing and over-smoothing	spectralpruningbraess
spgesture: source-free domain-adaptive semg-based gesture recognition with jaccard attentive spiking neural network	spgesture
gaussian process-based online health monitoring and fault analysis of lithium-ion battery systems from field data	battgp
reachability analysis for black-box dynamical systems	blackbox_reachability
pc-gym: benchmark environments for process control problems	pc-gym
unfolding target detection with state space model	neurodet
dynamic threshold-based two-layer online unsupervised anomaly detector	adaptive-nad
v2x-assisted distributed computing and control framework for connected and automated vehicles under ramp merging scenario	v2x-assisted-distributed-computing-and-control-framework-for-connected-and-automated-vehicles
large language model-driven curriculum design for mobile networks	LLM-CL
bbr fairness evaluation using ns-3	ns3-bbr
contrastive learning and adversarial disentanglement for privacy-preserving task-oriented semantic communications	clad
generalization bounds via conditional $f$-information	Conditional-f-Information-Bound
towards constraint-aware learning for resource allocation in nfv-enabled networks	conal-vne

2024-10-30

paper	code
advanced digital signal processing techniques for high-speed optical communications links	dsp-library
sequential weakly labeled multi-activity localization and recognition on wearable sensors using recurrent attention networks	RAN
communication-computation trade-off in resource-constrained edge inference	Edge_Inference_three-step_framework
reconfigurable intelligent surface enabled federated learning: a unified communication-learning design approach	RIS-FL
linear reduced order model predictive control	rompc
a functional block decomposition method for automatic op-amp design	acst
a game-theoretic framework for coexistence of wifi and cellular networks in the 6-ghz unlicensed spectrum	coexistence
eeg-deformer: a dense convolutional transformer for brain-computer interfaces	eeg-deformer
a spatial-spectral and temporal dual prototype network for motor imagery brain-computer interface	sst-dpn
dynamical embedding of single channel electroencephalogram for artifact subspace reconstruction	e-asr
a new framework for nonlinear kalman filters	a-new-framework-for-nonlinear-kalman-filters
single-channel electroencephalography decomposition by detector-atom network and its pre-trained model	detector-atom-net
an optimal pairwise merge algorithm improves the quality and consistency of nonnegative matrix factorization	NMFMerge.jl
multiple-beam interference spectroscopy: instrument analysis and spectrum reconstruction	inverspyctrometry
pk-yolo: pretrained knowledge guided yolo for brain tumor detection in multiplanar mri slices	pk-yolo
lipkernel: lipschitz-bounded convolutional neural networks via dissipative layers	2D-LipCNNs
fairness and sum-rate maximization via joint channel and power allocation in uplink scma networks	Fairness-and-Sum-Rate-Maximization-via-Joint-Subcarrier-and-Power-Allocation-in-Uplink-SCMA-Transmis
multitok: variable-length tokenization for efficient llms adapted from lzw compression	multitok
a generative model based honeypot for industrial opc ua communication	paper-2024-eurocast-honeypot

2024-10-29

paper	code
ultimatekalman: flexible kalman filtering and smoothing using orthogonal transformations	ultimate-kalman
amalgam: a framework for obfuscated neural network training on the cloud	amalgam
the bouc-wen model for binary direct collinear collisions of convex viscoplastic bodies	bwbcl
marine spatial planning techniques with a case study on wave-powered offshore aquaculture farms	aquaculture
the effect of acute stress on the interpretability and generalization of schizophrenia predictive machine learning models	stressschizophrenia
controlagent: automating control system design via novel integration of llm agents and domain expertise	controlagent
unimts: unified pre-training for motion time series	unimts
automatic classification of sleep stages from eeg signals using riemannian metrics and transformer networks	SPDTransNet_plus
enhancing battery storage energy arbitrage with deep reinforcement learning and time-series forecasting	battery_arbitrage_with_drl
seev: synthesis with efficient exact verification for relu neural barrier functions	seev
uncertainty-aware decision-making and planning for autonomous forced merging	auto-merging
data-driven analysis of t-product-based dynamical systems	TPDSs
papagei: open foundation models for optical physiological signals	papagei-foundation-model
general task optimal planning for heterogeneous teams with precedence and compatibility constraints and its application on power grid inspection using unmanned aerial vehicles	smart--flies
p4-psfp: p4-based per-stream filtering and policing for time-sensitive networking	p4-psfp
artificial intelligence of things: a survey	aiot-survey
fusefl: one-shot federated learning through the lens of causality with progressive model fusion	fusefl
reacked quicer: measuring the performance of instant acknowledgments in quic handshakes	artifacts-imc24-reACKed-QUICer
aqua-sim fourth generation: towards general and intelligent simulation for underwater acoustic networks	aqua-sim-fg

2024-10-28

paper	code
fuboco: structure synthesis of basic op-amps by functional block composition	acst
deep reinforcement learning for urllc data management on top of scheduled embb traffic	telerl2021
fbcnet: a multi-view convolutional neural network for brain-computer interface	FBCNet
scalable power control/beamforming in heterogeneous wireless networks with graph neural networks	hignn
lggnet: learning from local-global-graph representations for brain-computer interface	LGG
efficient stochastic optimal control through approximate bayesian input inference	input-inference-for-control
dilated convolution based csi feedback compression for massive mimo systems	DCRNet
multi-modality fusion using canonical correlation analysis methods: application in breast cancer survival prediction from histology and genomics	modelling_cca_brca_survival
accoustate: auto-annotation of imu-generated activity signatures under smart infrastructure	acconotate
an open source representation for the nys electric grid to support power grid and market transition studies	nygrid
deep optimal transport for domain adaptation on spd manifolds	deep-optimal-transport-for-domain-adaptation-on-spd-manifolds
optimisation of structured neural controller based on continuous-time policy gradient	continuoustimepolicygradients.jl
beats: an open-source, high-precision, multi-channel eeg acquisition tool system	beats
robust and efficient depth-based obstacle avoidance for autonomous miniaturized uavs	Matrix_ToF_Drones
reconfigurable massive mimo: harnessing the power of the electromagnetic domain for enhanced information transfer	r-mmimo
invertible kernel pca with random fourier features	invertible_kernel_PCA
a novel channel model for reconfigurable intelligent surfaces with consideration of polarization and switch impairments	matlab_ris_channelmodel
maximum likelihood based phase-retrieval using fresnel propagation forward models with optional constraints	phasetorch
a rainbow in deep network black boxes	rainbow
graph neural network-enhanced expectation propagation algorithm for mimo turbo receivers	GNN-enhanced-EP-for-Turbo-MIMO
a safe preference learning approach for personalization with applications to autonomous vehicles	SPL-WSTL
deep learning based modeling of wireless communication channel with fading	Deep-Learning-based-Modeling-of-Wireless-Communication-Channel-with-Fading
radio map estimation -- an open dataset with directive transmitter antennas and initial experiments	rml
graph representation learning for contention and interference management in wireless networks	ac-grl-wi-fi
automated security response through online learning with adaptive conjectures	csle
goal-reaching trajectory design near danger with piecewise affine reach-avoid computation	parc
smooth information gathering in two-player noncooperative games	gamesvoi.jl
comparing lazy constraint selection strategies in train routing with moving block control	mtct
polyclean: atomic optimization for super-resolution imaging and uncertainty estimation in radio interferometry	polyclean
reinforcement learning controllers for soft robots using learned environments	SoRoLEX
the multi-cluster fluctuating two-ray fading model	mftr-fading-channel-model
a spatially non-stationary fading channel model for simulation and (semi-) analytical study of elaa-mimo	non-stationary-fading-channel-model
$\lambda$-split: a privacy-preserving split computing framework for cloud-powered generative ai	lambda_split
mansy: generalizing neural adaptive immersive video streaming with ensemble and representation learning	mansy_immersivevideostreaming
treet: transfer entropy estimation via transformer	treet
on the cross-dataset generalization of machine learning for network intrusion detection	lycos-unicas-ids2018
wetlinks: a large-scale longitudinal starlink dataset with contiguous weather data	wetlinks

2024-10-27

paper	code
situation awareness for driver-centric driving style adaptation	sadc-situation-awareness-for-driver-centric-driving-style-adaptation
synaptogen: a cross-domain generative device model for large-scale neuromorphic circuit design	synaptogen
starlink on the road: a first look at mobile starlink performance in central europe	starlink-on-the-road

2024-10-25

paper	code
approximate message passing with rigorous guarantees for pooled data and quantitative group testing	amp_pooled_qgt
reinforcement learning with model predictive control for highway ramp metering	mpcrl-for-ramp-metering
provably safe neural network controllers via differential dynamic logic	ncubev
ecg semantic integrator (esi): a foundation ecg model pretrained with llm-enhanced cardiological text	esi
1-2-3-go! policy synthesis for parameterized markov decision processes via decision-tree learning and generalization	dtstrat-123go-artifact
wavetable synthesis using cvae for timbre control based on semantic label	wavetablecvae
the representation jensen-shannon divergence	representationjsd
striking a new chord: neural networks in music information dynamics	SeqLab
advancing network security: a comprehensive testbed and dataset for machine learning-based intrusion detection	Dataset-for-Machine-Learning-Based-Intrusion-Detection
optimizing edge offloading decisions for object detection	edgeml-object-detection

2024-10-24

paper	code
posterior sampling-based online learning for episodic pomdps	ps4pomdp
modeling of time-varying wireless communication channel with fading and shadowing	Modeling-of-Time-varying-Wireless-Communication-Channel-with-Fading-and-Shadowing
eeg-dif: early warning of epileptic seizures through generative diffusion model-based multi-channel eeg signals forecasting	eeg-dif
preserving privacy in cloud-based data-driven stabilization	privacy_data_driven_control
leads: lightweight embedded assisted driving system	LEADS
real-time vehicle-to-vehicle communication based network cooperative control system through distributed database and multimodal perception: demonstrated in crossroads	distributed-intersection-traffic-coordination-with-lease

2024-10-23

paper	code
evaluating feature attribution methods for electrocardiogram	attribution-ecg
on the existence of steady-state solutions to the equations governing fluid flow in networks	existencegasflowruns
emt: a novel transformer for generalized cross-subject eeg emotion recognition	emt
pointwise-sparse actuator scheduling for linear systems with controllability guarantee	sparse-control
channel shaping using beyond diagonal reconfigurable intelligent surface: analysis, optimization, and enhanced flexibility	channel-shaping-using-beyond-diagonal-reconfigurable-intelligent-surface
low-coherence sequence design under papr constraints	ieee-wcl-loceda
onboard satellite image classification for earth observation: a comparative study of vit models	snt-sentry
developing path planning with behavioral cloning and proximal policy optimization for path-tracking and static obstacle nudging	Planning-with-Learning
competency-aware planning for probabilistically safe navigation under perception uncertainty	parce
learning load balancing with gnn in mptcp-enabled heterogeneous networks	gnn-hetnet
designing network algorithms via large language models	nada
f-kans: federated kolmogorov-arnold networks	F-KANs
delay-constrained grant-free random access in mimo systems: distributed pilot allocation and power control	pymarl

2024-10-22

paper	code
conditioning and sampling in variational diffusion models for speech super-resolution	diffwave-sr
uncertainty-aware and reliable neural mimo receivers via modular bayesian deep learning	bayesian-learning-in-receivers-for-decoding
learning to reconstruct signals from binary measurements	ssbm
apsense: data-driven algorithm in ppg-based sleep apnea sensing	apsense
equivariant bootstrapping for uncertainty quantification in imaging inverse problems	equivariant_bootstrap
experimental analysis of the trc benchmark system
improving galileo osnma time to first authenticated fix	osnma
time-of-arrival estimation and phase unwrapping of head-related transfer functions with integer linear programming	hrtf-ilp
medformer: a multi-granularity patching transformer for medical time-series classification	medformer
automatic ai model selection for wireless systems: online learning via digital twinning	DT-powered-AMS
a new framework for nonlinear kalman filters	a-new-framework-for-nonlinear-kalman-filters
sustaindc: benchmarking for sustainable data center control	dc-rl
upper limb surface electromyography -- geometry, spectral characteristics, temporal evolution, and demographic confounds	wristEMG
behavior trees in functional safety supervisors for autonomous vehicles	ft2bt_converter
generative artificial intelligence (gai) for mobile communications: a diffusion model perspective	gai_comm
sensorbench: benchmarking llms in coding-based sensor processing	llm_sensor_processing
unlocking the full potential of high-density surface emg: novel non-invasive high-yield motor unit decomposition	swarm-contrastive-decomposition
intersectionzoo: eco-driving for benchmarking multi-agent contextual reinforcement learning	IntersectionZoo
distributed thompson sampling under constrained communication	distributed-bo
deepvigor+: scalable and accurate semi-analytical fault resilience analysis for deep neural network	deepvigor
robust loop closure by textual cues in challenging environments	txtlcd
neural predictor for flight control with payload	neural-predictor
blind equalization using a variational autoencoder with second order volterra channel model	volterra-vae
diffusion model based posterior sampling for noisy linear inverse problems	dmps
netmamba: efficient network traffic classification via pre-training unidirectional mamba	NetMamba
attempting the impossible: enumerating extremal submodular functions for n=6	submodular-functions-6
traffic matrix estimation based on denoising diffusion probabilistic model	DDPM-TME

2024-10-21

paper	code
gabor is enough: interpretable deep denoising with a gabor synthesis dictionary prior	cdlnet-ojsp
kid-ppg: knowledge informed deep learning for extracting heart rate from a smartwatch	KID-PPG
multi-objective learning model predictive control	Multi-Objective-LMPC
biometric authentication based on enhanced remote photoplethysmography signal morphology	rppg_biometrics
convergence of manifold filter-combine networks	mfcn
residual-inr: communication efficient on-device learning using implicit neural representation	residual-inr

2024-10-18

paper	code
deep deepc: data-enabled predictive control with low or no online optimization using deep learning	deep-deepc
boxr: body and head motion optimization framework for extended reality	boxr
assessing the techno-economic benefits of lems for different grid topologies and prosumer shares	lemlab
assessing the optimistic bias in the natural inflow forecasts: a call for model monitoring in brazil	inflowforecastbias_data
red is sus: automated identification of low-quality service availability claims in the us national broadband map	red_is_sus
efficient function placement in virtual networks: an online learning approach	dynamic_virtual_network_placement
an exposition of pathfinding strategies within lightning network clients	ln-pathfinding

2024-10-17

paper	code
vrem-fl: mobility-aware computation-scheduling co-design for vehicular federated learning	vrem-fl
lpuf-authnet: a lightweight puf-based iot authentication via tandem neural networks and split learning	lpuf-authnet

2024-10-16

paper	code
unsupervised dynamic modeling of medical image transformation	med-dyn-reg
prompt a robot to walk with large language models	prompt2walk
mobile edge generation-enabled digital twin: architecture design and research opportunities	meg_dt
multi-objective multidisciplinary optimization of wave energy converter array layout and controls	wec_array_opt
pycvxset: a python package for convex set manipulation	pycvxset
channel charting-based channel prediction on real-world distributed massive mimo csi	channelcharting-channelprediction
a data-driven aggressive autonomous racing framework utilizing local trajectory planning with velocity prediction	vpmpcc
safety filtering while training: improving the performance and sample efficiency of reinforcement learning agents	safe-control-gym
a quick primer on machine learning in wireless communications	eesc7v86-fall22
null models for comparing information decomposition across complex systems	numit

2024-10-15

paper	code
principled pruning of bayesian neural networks through variational free energy minimization	principledpruningbnn
bgf-yolo: enhanced yolov8 with multiscale attentional feature fusion for brain tumor detection	bgf-yolo
temporal action localization for inertial-based human activity recognition	tal_for_har
signal temporal logic control synthesis among uncontrollable dynamic agents with conformal prediction	stl-synthesis-among-uncontrollable-agents
intent demonstration in general-sum dynamic games via iterative linear-quadratic approximations	active-intent-demonstration-in-games
exploring new territory: calibration-free decoding for c-vep bci	pyntbci
input-to-state stable coupled oscillator networks for closed-form model-based control in latent space	uncovering-iss-coupled-oscillator-networks-from-pixels
channel correlation matrix extrapolation based on roughness calibration of scatterers	CCM-Extrapolation
nirvawave: an accurate and efficient near field wave propagation simulator for 6g and beyond	nirvawave
orthogonal nonnegative matrix factorization with the kullback-leibler divergence	kl-onmf
the bouc-wen model for binary direct collinear collisions of convex viscoplastic bodies	bwbcl
multimodal physical activity forecasting in free-living clinical settings: hunting opportunities for just-in-time interventions	movesense
optimal inferential control of convolutional neural networks	optimal-inferential-control-of-cnns
coupled autoregressive active inference agents for control of multi-joint dynamical systems	iwai2024-carxefe
wand: wavelet analysis-based neural decomposition of mrs signals for artifact removal	wand-for-mrs
sensorbench: benchmarking llms in coding-based sensor processing	llm_sensor_processing
cone-restricted information theory	conerestrictedinformationtheory
diff-erank: a novel rank-based metric for evaluating large language models	Diff-eRank
generalized measures of anticipation and responsivity in online language processing	generalized-surprisal
a deep learning based decoder for concatenated coding over deletion channels	DNN-for-Deletion-Channel

2024-10-14

paper	code
brainib: interpretable brain network-based psychiatric diagnosis with graph information bottleneck	brain-and-information-bottleneck
match-based solution of general parametric eigenvalue problems	pevp_match
controllable preference optimization: toward controllable multi-objective alignment	CPO
biomedbench: a benchmark suite of tinyml biomedical applications for low-power wearables	biomedbench
physics and deep learning in computational wave imaging	ML-NDT
radarode-mtl: a multi-task learning framework with eccentric gradient alignment for robust radar-based ecg reconstruction	radarODE-MTL
information-theoretic measures on lattices for high-order interactions	nips2024hoi
bad neighbors: on understanding vpn provider networks	TurnkeyVPNStudy
openwifisync: open source implementation of a clock synchronization algorithm using wi-fi	OpenWiFiSync

2024-10-11

paper	code
the computation of approximate feedback stackelberg equilibria in multi-player nonlinear constrained dynamic games	feedbackstackelberggames.jl
eegunity: open-source tool in facilitating unified eeg datasets towards large-scale eeg model	eegunity
rfboost: understanding and boosting deep wifi sensing via physical data augmentation	rfboost
reachability analysis for black-box dynamical systems	blackbox_reachability
localized adaptive risk control	localized-adaptive-risk-control
almost minimax optimal best arm identification in piecewise stationary linear bandits	BAI-in-PSLB

2024-10-10

paper	code
an active learning method for solving competitive multi-agent decision-making and control problems	gnep-learn
approximate non-linear model predictive control with safety-augmented neural networks	soeampc
kid-ppg: knowledge informed deep learning for extracting heart rate from a smartwatch	KID-PPG
trustemg-net: using representation-masking transformer with u-net for surface electromyography enhancement	TrustEMG
episodic fine-tuning prototypical networks for optimization-based few-shot learning: application to audio classification	proto-MAML
greenlight-gym: a reinforcement learning benchmark environment for greenhouse crop production control	GreenLightGym
synthesizing interpretable control policies through large language model guided search	synthesizing_interpretable_control_policies
closed-loop phase selection in eeg-tms using bayesian optimization	BO_for_EEG-TMS_phase
qgym: scalable simulation and benchmarking of queuing network controllers	qgym
generative artificial intelligence (gai) for mobile communications: a diffusion model perspective	gai_comm
bic-mppi: goal-pursuing, sampling-based bidirectional rollout clustering path integral for trajectory optimization	BiC-MPPI
message-passing on hypergraphs: detectability, phase transitions and higher-order information	hypergraph-message-passing
deep reinforcement learning for delay-optimized task offloading in vehicular fog computing	VFC-Offloading-RL
accelerating error correction code transformers	aecct

2024-10-08

paper	code
fast variational block-sparse bayesian learning	fast-variational-block-sparse-bayesian-learning
cst-yolo: a novel method for blood cell detection based on improved yolov7 and cnn-swin transformer	CST-YOLO
sparse learned kernels for interpretable and efficient medical time series processing	smolk
feedback-feedforward signal control with exogenous demand estimation in congested urban road networks	saffron
real-time eeg-based emotion recognition model using principal component analysis and tree-based models for neurohumanities	neurohumanities-lab
decentralized robust data-driven predictive control for smoothing mixed traffic flow	Decentralized-DeeP-LCC
symbolic-numeric algorithm for parameter estimation in discrete-time models with $\exp$	larva-pupa-adult
auto-multilift: distributed learning and control for cooperative load transportation with quadrotors	Auto-Multilift
comparative evaluation of learning models for bionic robots: non-linear transfer function identifications	model-free-robotics
pointwise-sparse actuator scheduling for linear systems with controllability guarantee	sparse-control
sustaindc -- benchmarking for sustainable data center control	dc-rl
cbf-llm: safe control for llm alignment	cbf-llm
indicvoices-r: unlocking a massive multilingual multi-speaker speech corpus for scaling indian tts	indicvoices-r
widistill: distilling large-scale wi-fi datasets with trajectory matching	widistill
distribution grids may be a barrier to residential electrification	edgie
bisimulation metric for model predictive control	BSMPC
large-scale gnss spreading code optimization	decor
predictive spliner: data-driven overtaking in autonomous racing using opponent trajectory prediction	predictive-spliner

2024-10-07

paper	code
visual decoding and reconstruction via eeg embeddings with guided diffusion	eeg_image_decode
understanding the impact of coalitions between ev charging stations	coalition-ev
ekf-sindy: empowering the extended kalman filter with sparse identification of nonlinear dynamics	ekf-sindy
analyzing fitts' law using offline and online optimal control with motor noise	speed-accuracy-optimal-control-paper
manikin-recorded cardiopulmonary sounds dataset using digital stethoscope	hls-cmds
large synthetic datasets for machine learning applications in power systems	PowerData
an ebpf-based trace-driven emulation method for satellite networks	ebpf-trace-emu
receptors cluster in high-curvature membrane regions for optimal spatial gradient sensing	recloc

2024-10-04

paper	code
algorithms for non-negative matrix factorization on noisy data with negative values	nearly_nmf
multi-channel masked autoencoder and comprehensive evaluations for reconstructing 12-lead ecg from arbitrary single-lead ecg	mcma
capturing complex hand movements and object interactions using machine learning-powered stretchable smart textile gloves	SmartTextileGlove
custom non-linear model predictive control for obstacle avoidance in indoor and outdoor environments	nmpc_flash_multi_obstacle

2024-10-03

paper	code
controllable preference optimization: toward controllable multi-objective alignment	CPO
a deep learning method for beat-level risk analysis and interpretation of atrial fibrillation patients during sinus rhythm	ecgbeat4afsinus
decentralized optimization in time-varying networks with arbitrary delays	dt-go
toward real-time digital twins of em environments: computational benchmark of ray launching software	ray-launching-benchmark
uncertainty modelling and robust observer synthesis using the koopman operator	robust_observer_koopman
optimal causal representations and the causal information bottleneck	cib-optimization-psagd

2024-10-02

paper	code
quantifying the safety of trajectories using peak-minimizing control	crash-safety
is data all that matters? the role of control frequency for learning-based sampled-data control of uncertain systems	lb_sd
posterior-mean rectified flow: towards minimum mse photo-realistic image restoration	PMRF
vicious classifiers: assessing inference-time data reconstruction risk in edge computing	vicious-classifiers

2024-10-01

paper	code
detecting and mitigating system-level anomalies of vision-based controllers	visual_failure_mitigation
deep model predictive optimization	dmpo
efficient path planning in large unknown environments with switchable system models for automated vehicles	guided-extended-hybrid-astar
density adaptive attention is all you need: robust parameter-efficient fine-tuning across multiple modalities	gaussian-adaptive-attention
complete and near-optimal robotic crack coverage and filling in civil infrastructure	crack-filling-robot
experimenting with adaptive bitrate algorithms for virtual reality streaming over wi-fi	ALVR_ABR_UPF
unsure: unknown noise level stein's unbiased risk estimator	unsure
summit vitals: multi-camera and multi-signal biosensing at high altitudes	SUMS
constrained reinforcement learning for safe heat pump control	i4b
swim: short-window cnn integrated with mamba for eeg-based auditory spatial attention decoding	swim-asad
numerically robust fixed-point smoothing without state augmentation	code-numerically-robust-fixedpoint-smoother
on the computational entanglement of distant features in adversarial machine learning	adversary-example-through-relativity
hrgraph: leveraging llms for hr data knowledge graphs with information propagation-based job recommendation	hrgraph
curate: scaling-up differentially private causal graph discovery	cgdCURATE

2024-09-30

paper	code
interpretation of intracardiac electrograms through textual representations	text-egm
proprioception is all you need: terrain classification for boreal forests	BorealTC
distributed model predictive control for piecewise affine systems based on switching admm	stable-dmpc-pwa
learning to boost the performance of stable nonlinear systems	performance-boosting_controllers
sustaindc -- benchmarking for sustainable data center control	dc-rl
curricullm: automatic task curricula design for learning complex robot skills using large language models	curricullm
simpler gradient methods for blind super-resolution with lower iteration complexity	SimplerGDs-VHL
explainable enrichment-driven graph reasoner (edgar) for large knowledge graphs with applications in drug repurposing	edgar

2024-09-27

paper	code
control industrial automation system with large language models	llm4ias

2024-09-26

paper	code
stable training of probabilistic models using the leave-one-out maximum log-likelihood objective	leave-one-out_maximum-log-likelihood
optimal vintage factor analysis with deflation varimax	optimal_deflation_varimax
simba: system identification methods leveraging backpropagation	simba
visual decoding and reconstruction via eeg embeddings with guided diffusion	eeg_image_decode
gpu-accelerated dcopf using gradient-based optimization	gpu-enabled-gradient-based-dcopf
precision aquaculture: an integrated computer vision and iot approach for optimized tilapia feeding	fish-counting
the language of infographics: toward understanding conceptual metaphor use in scientific storytelling	metaphortool

2024-09-25

paper	code
physics-informed multi-agent reinforcement learning for distributed multi-robot problems	phmarl
data-driven system identification of quadrotors subject to motor delays	data-driven-system-identification
mds-ed: multimodal decision support in the emergency department -- a benchmark dataset for diagnoses and deterioration prediction in emergency medicine	mds-ed

2024-09-24

paper	code
asymmetry underlies stability in power grids	csb_powergrid
super-linear scaling behavior for electric vehicle chargers and road map to addressing the infrastructure gap	evse-scaling-behavior
beamfocusing optimization for near-field wideband multi-user communications	beamfocusing-optimization-for-near-field-wideband-multi-user-communications
real-time machine-learning-based optimization using input convex long short-term memory network	iclstm
near-field velocity sensing and predictive beamforming	near-field-velocity-sensing-and-predictive-beamforming
automated security response through online learning with adaptive conjectures	csle
szcore: a seizure community open-source research evaluation framework for the validation of eeg-based automated seizure detection algorithms	sz-validation-framework
genet: a graph neural network-based anti-noise task-oriented semantic communication paradigm	genet
parameter-adaptive approximate mpc: tuning neural-network controllers without retraining	adaptive-ampc-cartpole
some contributions to lagrangian modelling of power converters	H-F-Dc-Dc-Power-converters
compact model parameter extraction via derivative-free optimization	dfo_parameter_extraction
optimization-based outlier accommodation for tightly coupled rtk-aided inertial navigation systems in urban environments	UrbanRTK-INS-OutlierOpt
speed: scalable preprocessing of eeg data for self-supervised learning	speed
train-on-request: an on-device continual learning workflow for adaptive real-world brain machine interfaces	bmi-odcl
performance evaluation of pac decoding with deep neural networks	Performance-Evaluation-of-PAC-Decoding-with-Deep-Neural-Networks
alphazip: neural network-enhanced lossless text compression	alphazip

2024-09-23

paper	code
machine learning and system identification for estimation in physical systems	Robotlib.jl
region of attraction for power systems using gaussian process and converse lyapunov function -- part i: theoretical framework and off-line study	ROA-for-Power-Systems
symmetry-guided reinforcement learning for versatile quadrupedal gait generation	Bittle_Symmetry_RL
high perceptual quality wireless image delivery with denoising diffusion models	deepjscc-diffusion

2024-09-21

paper	code
reachable polyhedral marching (rpm): an exact analysis tool for deep-learned control systems	Neural-Network-Reach
fleet rebalancing for expanding shared e-mobility systems: a multi-agent deep reinforcement learning approach	ev-simulator
a holistic approach for equity-aware carbon reduction of ridesharing platforms	e2_ridekit
stealthy deactivation of safety filters	ecc24-sf

2024-09-20

paper	code
ma-vae: multi-head attention-based variational autoencoder approach for anomaly detection in multivariate time-series applied to automotive endurance powertrain testing	ma-vae
task and domain adaptive reinforcement learning for robot control	adaptive_agent
mission planning on autonomous avoidance for spacecraft confronting orbital debris	debris-avoidance
online proximal admm for graph learning from streaming smooth signals	ogl
on the computational entanglement of distant features in adversarial machine learning	adversary-example-through-relativity
enhancing 3d robotic vision robustness by minimizing adversarial mutual information through a curriculum training approach	mine-n-learn

2024-09-19

paper	code
a mmwave software-defined array platform for wireless experimentation at 24-29.5 ghz	design_pynq_28GHz
real-time sound event localization and detection: deployment challenges on edge devices	realtime-seld-edge
adversarial attacks on neural networks through canonical riemannian foliations	curvnetattack
design and implementation of intelligent packet filtering in iot microcontroller-based devices	t800

2024-09-18

paper	code
managing power grids through topology actions: a comparative study between advanced rule-based and reinforcement learning agents	curriculumagent
end-to-end reinforcement learning for torque based variable height hopping	hopping_leg
a time-causal and time-recursive analogue of the gabor transform	pygabor
detecting and mitigating system-level anomalies of vision-based controllers	visual_failure_mitigation
3d-speaker-toolkit: an open-source toolkit for multimodal speaker verification and diarization	3D-Speaker
laugh now cry later: controlling time-varying emotional states of flow-matching-based zero-shot text-to-speech	emoctrltts-eval
reactive environments for active inference agents with rxenvironments.jl	RxEnvironments.jl
sample complexity bounds for linear system identification from a finite set	2024-bounds-finite-set-id
nirvawave: an accurate and efficient near field wave propagation simulator for 6g and beyond	nirvawave
5g-wave: a core network framework with decentralized authorization for network slices	5G-WAVE-Infocom2024
muse: flexible voiceprint receptive fields and multi-path fusion enhanced taylor transformer for u-net-based speech enhancement	MUSE-Speech-Enhancement
j"ager: automated telephone call traceback	jaeger
generalized measures of anticipation and responsivity in online language processing	generalized-surprisal

2024-09-17

paper	code
zero-order optimization for gaussian process-based model predictive control	zero-order-gp-mpc.git
an efficient learning-based solver for two-stage dc optimal power flow with feasibility guarantees	two-stage-dcopf-neural-solver
interpretable ecg analysis for myocardial infarction detection through counterfactuals	vcce
anoca: ac network-aware optimal curtailment approach for dynamic hosting capacity	anoca
csi-gpt: integrating generative pre-trained transformer with federated-tuning to acquire downlink massive mimo channels	csi-gpt
compact model parameter extraction via derivative-free optimization	dfo_parameter_extraction
verification and synthesis of compatible control lyapunov and control barrier functions	compatible_clf_cbf
probabilistic energy forecasting through quantile regression in reproducing kernel hilbert spaces	kernel_quantile_regression
robustness of optimal quantum annealing protocols	njp_2024_roqa
towards safe and tractable gaussian process-based mpc: efficient sampling within a sequential quadratic programming framework	sampling-gpmpc
response surface methodology coupled with desirability functions for multi-objective optimization: minimizing indoor overheating hours and maximizing useful daylight illuminance	rsm-thermal-daylight-optimization
train-on-request: an on-device continual learning workflow for adaptive real-world brain machine interfaces	bmi-odcl
hyperedge representations with hypergraph wavelets: applications to spatial transcriptomics	hypergraph-wavelets
efficient network embedding by approximate equitable partitions	EmbNetworks
harnessing the power of federated learning in federated contextual bandits	fedigw
tele-llms: a series of specialized large language models for telecommunications	tele-llms
llm honeypot: leveraging large language models as advanced interactive honeypot systems	llm-honeypot

2024-09-16

paper	code
synthesizing control laws from data using sum-of-squares optimization	data-clf
a new framework for nonlinear kalman filters	a-new-framework-for-nonlinear-kalman-filters
biased backpressure routing using link features and graph neural networks	dutybp
deep deepc: data-enabled predictive control with low or no online optimization using deep learning	deep-deepc
online learning of expanding graphs	online_ntf_expanding
learning short codes for fading channels with no or receiver-only channel state information	Learning-Short-Codes-for-Fading-Channels-with-No-or-Receiver-Only-Channel-State-Information

2024-09-13

paper	code
structured deep neural network-based backstepping trajectory tracking control for lagrangian systems	neural-backstepping-tracking-controller
dero: dead reckoning based on radar odometry with accelerometers aided for robot localization	dero
auto-multilift: distributed learning and control for cooperative load transportation with quadrotors	Auto-Multilift
domain adaptation for doa estimation in multipath channels with interferences	domain-adaptation-for-doa-estimation-in-multipath-channels-with-interferences
linear energy storage and flexibility model with ramp rate, ramping, deadline and capacity constraints	FlexibilityAndStorageModel
optimizing falsification for learning-based control systems: a multi-fidelity bayesian approach	mfbo_falsification
identification of head impact locations, speeds, and force based on head kinematics	impact_retriever
wirelessagent: large language model agents for intelligent wireless networks	wireless-agent

2024-09-12

paper	code
end-to-end reinforcement learning for torque based variable height hopping	hopping_leg
state-augmented linear games with antagonistic error for high-dimensional, nonlinear hamilton-jacobi reachability	hopfreachability
learning-based efficient approximation of data-enabled predictive control	redpc
tinychirp: bird song recognition using tinyml models on low-power wireless acoustic sensors	tinychirp

2024-09-11

paper	code
unlocking the use of raw multispectral earth observation imagery for onboard artificial intelligence	pyraws
introducing a deep neural network-based model predictive control framework for rapid controller implementation	DnnTrainingHcci_pub
real-time machine-learning-based optimization using input convex long short-term memory network	iclstm
get-up: geometric-aware depth estimation with radar points upsampling	get-up
peernet: an end-to-end profiling tool for real-time networked robotic systems	peernet
minimax optimal algorithms with fixed-$k$-nearest neighbors	split-knn-rules
can large language models learn independent causal mechanisms?	modular-lm
role of sensing and computer vision in 6g wireless communications	VOBEM2

2024-09-10

paper	code
network-aware flexibility requests for distribution-level flexibility markets	flexrequest-creation
doubly-iterative sparsified mmse turbo equalization for otfs modulation	dismmse-turbo-equalizer-for-otfs
monte carlo grid dynamic programming: almost sure convergence and probability constraints	mc_dynamicprogramming
polynomial logical zonotope: a set representation for reachability analysis of logical systems	Logical-Zonotope
actively learning reinforcement learning: a stochastic optimal control approach	active-learning-reinforcement-learning
learning lyapunov-stable polynomial dynamical systems through imitation	stable-imitation-policy
rscnet: dynamic csi compression for cloud-based wifi sensing	rscnet
providing safety assurances for systems with unknown dynamics	safety_assurances_for_unknown_dynamics
multistep inverse is not all you need	acdf
feature characterization for profile surface texture	feature-characterization-for-profile-surface-texture
joint load and capacity scheduling for flexible radio resource management of high-throughput satellites	HTS_RRM_Joint-Load-and-Capacity-Scheduling
indicvoices-r: unlocking a massive multilingual multi-speaker speech corpus for scaling indian tts	indicvoices-r
estimating conditional mutual information for dynamic feature selection	dime
on the computational entanglement of distant features in adversarial machine learning	adversary-example-through-relativity
adaptive $k$-nearest neighbor classifier based on the local estimation of the shape operator	kknn
tele-llms: a series of specialized large language models for telecommunications	tele-llms

2024-09-09

paper	code
a black-box physics-informed estimator based on gaussian process regression for robot inverse dynamics identification	LIP4RobotInverseDynamics
topology of surface electromyogram signals: hand gesture decoding on riemannian manifolds	geometryofsemg
mixnet: joining force of classical and modern approaches toward the comprehensive pipeline in motor imagery eeg classification	mixnet
3d-gp-lmvic: learning-based multi-view image coding with 3d gaussian geometric priors	3D-GP-LMVIC

2024-09-06

paper	code
online learning for robust voltage control under uncertain grid topology	voltctrl
wind turbine condition monitoring based on intra- and inter-farm federated learning	FL-Wind-NBM
an efficient frequency diversity scheme for ultra-reliable communications in two-path fading channels	two-ray-ultra-reliability
towards autonomous cybersecurity: an intelligent automl framework for autonomous intrusion detection	autonomouscyber-automl-based-autonomous-intrusion-detection-system

2024-09-05

paper	code
fast system level synthesis: robust model predictive control using riccati recursions	fast-sls
large language models for explainable decisions in dynamic digital twins	rag-dddas
variational mode decomposition and linear embeddings are what you need for time-series forecasting	vmd-with-ltsf-linear
force-limited control of wave energy converters using a describing function linearization	IFAC_CAMS_2024
quantum state preparation using an exact cnot synthesis formulation	quantum-xyz
netmamba: efficient network traffic classification via pre-training unidirectional mamba	NetMamba
fadam: adam is a natural gradient optimizer using diagonal empirical fisher information	fadam_pytorch

2024-09-04

paper	code
aerostack2: a software framework for developing multi-robot aerial systems	aerostack2
an experimental evaluation of deep reinforcement learning algorithms for hvac control	paper-drl_building
opendpd: an open-source end-to-end learning & benchmarking framework for wideband power amplifier modeling and digital pre-distortion	opendpd
interpretation of intracardiac electrograms through textual representations	text-egm
airpilot: interpretable ppo-based drl auto-tuned nonlinear pid drone controller for robust autonomous flights	drlpiddronecontrol
perfecting periodic trajectory tracking: model predictive control with a periodic observer ($\pi$-mpc)	pi-mpc
control of unknown quadrotors from a single throw	indiflightSupport
efficient discovery of actual causality using abstraction-refinement	Causality_abs_refinement
robust model predictive control exploiting monotonicity properties	robmpcexploitmon
buet multi-disease heart sound dataset: a comprehensive auscultation dataset for developing computer-aided diagnostic systems	HS-Dataset
unsure: unknown noise level stein's unbiased risk estimator	unsure
a truly concurrent semantics for reversible ccs	reversible-ccs-as-nets
palantir: towards efficient super resolution for ultra-high-definition live streaming	palantir
entropy loss: an interpretability amplifier of 3d object detection network for intelligent driving	Eloss-Interpretability

2024-09-02

paper	code
proxying ros communications -- enabling containerized ros deployments in distributed multi-host environments	rosproxy
eegmatch: learning with incomplete labels for semi-supervised eeg-based cross-subject emotion recognition	eegmatch
multi-timescale ensemble q-learning for markov decision process policy optimization	tsp_23_supplementary_file
leveraging digital cousins for ensemble q-learning in large-scale wireless networks	digital-cousins-for-ensemble-q-learning
on robust reinforcement learning with lipschitz-bounded policy networks	Lipschitz-RL-Atari
reinforced model predictive control via trust-region quasi-newton policy optimization	ecc24_tr_improved_qn_po_for_mpc_in_rl
biomedbench: a benchmark suite of tinyml biomedical applications for low-power wearables	biomedbench
gpu-accelerated dcopf using gradient-based optimization	gpu-enabled-gradient-based-dcopf
cafnet: a confidence-driven framework for radar camera depth estimation	cafnet
mpada: open source framework for multimodal time series antenna array measurements	mpada
machine learning & wi-fi: unveiling the path towards ai/ml-native ieee 802.11 networks	towards_ai-native_wifi
characterizing user platforms for video streaming in broadband networks	chlo_extract
pib: prioritized information bottleneck framework for collaborative edge video analytics	pib-prioritized-information-bottleneck-framework

2024-08-31

paper	code
josephson oscillations of two weakly coupled bose-einstein condensates	BecJosephsonCurrent

2024-08-30

paper	code
ultimatekalman: flexible kalman filtering and smoothing using orthogonal transformations	ultimate-kalman
massive digital over-the-air computation for communication-efficient federated edge learning	md-aircomp
flexible framework for generating synthetic electrocardiograms and photoplethysmograms	framework_for_synthetic_biosignals
deep deepc: data-enabled predictive control with low or no online optimization using deep learning	deep-deepc
espargos: phase-coherent wifi csi datasets for wireless sensing research	espargos-wifi-channelcharting
robomnist: a multimodal dataset for multi-robot activity recognition using wifi sensing, video, and audio	robomnist
protograph-based batched network codes	bnc

2024-08-29

paper	code
receding-constraint model predictive control using a learned approximate control-invariant set	safe-mpc
geometric neural network based on phase space for bci-eeg decoding	Phase-SPDNet
scaling learning based policy optimization for temporal logic tasks by controller network dropout	STL_dropout
online event-triggered switching for frequency control in power grids with variable inertia	Online-Event-Triggered-Switching-for-Frequency-Control
es-ptam: event-based stereo parallel tracking and mapping	es-ptam
cbf-llm: safe control for llm alignment	cbf-llm

2024-08-28

paper	code
multi-scale transformer-based network for emotion recognition from multi physiological signals	EPiC-2023-ACII
graph gospa metric: a metric to measure the discrepancy between graphs of different sizes	the-graph-gospa-metric
neural network-based successive interference cancellation for non-linear bandlimited channels	nn-mi
structured deep neural networks-based backstepping trajectory tracking control for lagrangian systems	neural-backstepping-tracking-controller
localising the seizure onset zone from single-pulse electrical stimulation responses with a cnn transformer	localising_soz_from_spes
baseline results for selected nonlinear system identification benchmarks	nonlinear_baselines
minimal algorithmic information loss methods for dimension reduction, feature selection and network sparsification	Network-Robustness-by-Kolmogorov-Complexity
fast erasure decoder for hypergraph product codes	pruned-peeling-and-vh-decoder
drl-based federated self-supervised learning for task offloading and resource allocation in isac-enabled vehicle edge computing	federated-ssl-task-offloading-and-resource-allocation

2024-08-27

paper	code
toward integrated sensing and communications in ieee 802.11bf wi-fi networks	sharpax
interpretable and robust ai in eeg systems: a survey	survey
a generalized bandsplit neural network for cinematic audio source separation	bandit
wi-bfi: extracting the ieee 802.11 beamforming feedback information from commercial wi-fi devices	wi-bfi
outlier-insensitive kalman filtering: theory and applications	oikf-nuv
topological filtering of a signal over a network	topapprox
reduce computational complexity for continuous wavelet transform in acoustic recognition using hop size	Continuous-Wavelet-Transform-in-Acoustic-Recognition-Using-Hop-Size
on confidence sequences for bounded random processes via universal gambling strategies	confidence-sequence-via-gambling
hrgraph: leveraging llms for hr data knowledge graphs with information propagation-based job recommendation	hrgraph

2024-08-26

paper	code
mitigating mismatch compression in differential local field potentials	mismatch_compression
concept-based explainability for an eeg transformer model	tcav-bendr
airpilot: a ppo-based drl auto-tuned nonlinear pid drone controller for robust autonomous flights	drlpiddronecontrol
saihu: a common interface of worst-case delay analysis tools for time-sensitive networks	Saihu-TSN-Analysis-Tool-Integration
opseval: a comprehensive it operations benchmark suite for large language models	opseval-datasets

2024-08-23

paper	code
self-supervised learning for clustering of wireless spectrum activity	self-supervised-spectrum-sensing
pulse shape discrimination based on the tempotron: a powerful classifier on gpu	TempotronGPU
leveraging variational autoencoders for parameterized mmse estimation	vae-estimator
an agent design with goal reaching guarantees for enhancement of learning	regelum-calf
real-time event recognition of long-distance distributed vibration sensing with knowledge distillation and hardware acceleration	efficient-dvs
an efficient and explainable transformer-based few-shot learning for modeling electricity consumption profiles across thousands of domains	transformerem-gmm
accounts of using the tustin-net architecture on a rotary inverted pendulum	tustinNetTransferLearning
recursive distributed collaborative aided inertial navigation	ikf_lib
gram-schmidt methods for unsupervised feature extraction and selection	gram_schmidt_feature_extraction
fadam: adam is a natural gradient optimizer using diagonal empirical fisher information	fadam_pytorch
a scalable quantum non-local neural network for image classification	QNL-Net
ktwin: a serverless kubernetes-based digital twin platform	ktwin-article

2024-08-22

paper	code
reducing transmission expansion by co-optimizing sizing of wind, solar, storage and grid connection capacity	genx
2-level reinforcement learning for ships on inland waterways: path planning and following	tud_rl
learning model predictive control with error dynamics regression for autonomous racing	racing-lmpc-ros2
s4sleep: elucidating the design space of deep-learning-based sleep stage classification models	s4sleep
energy-efficient beamforming for riss-aided communications: gradient based meta learning	GMML
towards end-to-end gps localization with neural pseudorange correction	e2eprnet
comtraq-mpc: meta-trained dqn-mpc integration for trajectory tracking with limited active localization updates	ComTraq-MPC
learning deep dissipative dynamics	deepdissipativemodel
5g nr prach detection with convolutional neural networks (cnn): overcoming cell interference challenges	PRACHInterferenceDetectionModel
trellis bma: coded trace reconstruction on ids channels for dna storage	clustered-nanopore-reads-dataset
fast erasure decoder for hypergraph product codes	pruned-peeling-and-vh-decoder
improved field size bounds for higher order mds codes	mds3-groebner
understanding is compression	medal
leveraging fine-tuned retrieval-augmented generation with long-context support: for 3gpp standards	oKUmura_AI_Telecom_challenge

2024-08-21

paper	code
csm-h-r: a context modeling framework in supporting reasoning automation for interoperable intelligent systems and privacy protection	csm-h-r
real-time control of electric autonomous mobility-on-demand systems via graph reinforcement learning	graph-rl-for-eamod
robust mri reconstruction by smoothed unrolling (smug)	smug_journal
spectrum prediction with deep 3d pyramid vision transformer learning	Real-world-Spectrum
parkinson's disease classification via eeg: all you need is a single convolutional layer	LightCNNforPD

2024-08-20

paper	code
a generalizable physics-informed learning framework for risk probability estimation	pipe-l4dc
textless unit-to-unit training for many-to-many multilingual speech-to-speech translation	utut
learning based dynamic cluster reconfiguration for uav mobility management with 3d beamforming	icmlcn-2024-dynamic-clustering
forzaeth race stack -- scaled autonomous head-to-head racing on fully commercial off-the-shelf hardware	race_stack
sim2real in reconstructive spectroscopy: deep learning with augmented device-informed data simulation	rec_spectrometer
exploiting symmetry in dynamics for model-based reinforcement learning with asymmetric rewards	symmetry-cs285
intention-aware control based on belief-space specifications and stochastic expansion	intentaware
an observability-constrained magnetic field-aided inertial navigation system -- extended version	OC-MAINS-code
certifiable deep learning for reachability using a new lipschitz continuous value function	Lipschitz_Continuous_Reachability_Learning
an optimal pairwise merge algorithm improves the quality and consistency of nonnegative matrix factorization	NMFMerge.jl
compression represents intelligence linearly	llm-compression-intelligence
hookchain: a new perspective for bypassing edr solutions	hookchain
drl-based resource allocation for motion blur resistant federated self-supervised learning in iov	drl-bfssl

2024-08-19

paper	code
multistatic-radar rcs-signature recognition of aerial vehicles: a bayesian fusion approach	rcs_atr
airpilot: a ppo-based drl auto-tuned nonlinear pid drone controller for robust autonomous flights	drlpiddronecontrol
physics-guided reinforcement learning system for realistic vehicle active suspension control	rl4suspension-icmla23
adversarial contrastive learning based physics-informed temporal networks for cuffless blood pressure estimation	acl-pitn
radiodiff: an effective generative diffusion model for sampling-free dynamic radio map construction	radiodiff
entropy coding of unordered data structures	shuffle-coding

2024-08-16

paper	code
gatekeeper: online safety verification and control for nonlinear systems in dynamic environments	gatekeeper
learning tube-certified neural robust contraction metrics	nnrccm
exact tensor completion powered by slim transforms	transformed_tnn
formally verifying deep reinforcement learning controllers with lyapunov barrier certificates	artifact-fmcad24-docking
accelerating high-fidelity waveform generation via adversarial flow matching optimization	periodwave
catalogbank: a structured and interoperable catalog dataset with a semi-automatic annotation tool (documentlabeler) for engineering system design	catalogbank
gsvd-nmf: recovering missing features in non-negative matrix factorization	gsvdinitialization.jl
josephson oscillations of two weakly coupled bose-einstein condensates	BecJosephsonCurrent

2024-08-15

paper	code
self-supervised scalable deep compressed sensing	scnet
virus-nerf -- vision, infrared and ultrasonic based neural radiance fields	virus_nerf
using explainable ai for eeg-based reduced montage neonatal seizure detection	braineocare
lipcot: linear predictive coding based tokenizer for self-supervised learning of time series data via language models	lipcot
adaptive basis function selection for computationally efficient predictions	adaptive-bf-selection
periodwave: multi-period flow matching for high-fidelity waveform generation	periodwave
remote tube-based mpc for tracking over lossy networks	robust-tracking-mpc-over-lossy-networks
sigmarl: a sample-efficient and generalizable multi-agent reinforcement learning framework for motion planning	sigmarl
outsourcing control requires control complexity	learningrequiresintinf
on the salient limitations of the methods of assembly theory and their classification of molecular biosignatures	mscomplexity
information-theoretic measures on lattices for high-order interactions	nips2024hoi

2024-08-14

paper	code
pid optimization using lagrangian mechanics	pid
eeg-macs: manifold attention and confidence stratification for eeg-based cross-center brain disease diagnosis under unreliable annotations	eeg-disease-macs
interpretable pre-trained transformers for heart time-series data	heartgpt
passivity-based gain-scheduled control with scheduling matrices	matrix_scheduling_vsp_controllers
robustness of optimal quantum annealing protocols	njp_2024_roqa
how transformers learn causal structure with gradient descent	transformers-learn-causal-structure

2024-08-13

paper	code
convolutional proximal neural networks and plug-and-play algorithms	Proximal_Neural_Networks
learning barrier-certified polynomial dynamical systems for obstacle avoidance with robots	abc-ds
robust co-design of canonical underactuated systems for increased certifiable stability	robust_codesign
localising the seizure onset zone from single-pulse electrical stimulation responses with a cnn transformer	localising_soz_from_spes
efficient discovery of actual causality using abstraction-refinement	Causality_abs_refinement
time is not enough: time-frequency based explanation for time-series black-box models	time_is_not_enough
a robust baro-radar-inertial odometry m-estimator for multicopter navigation in cities and forests	rio
on zero-shot learning in neural state estimation of power distribution systems	nse-tl-paper
residual-inr: communication efficient on-device learning using implicit neural representation	residual-inr

2024-08-12

paper	code
linear quadratic control of nonlinear systems with koopman operator learning and the nystr"om method	nys-koop-lqr
a parallel vector-form $ldl^\top$ decomposition for accelerating execution-time-certified $\ell_1$-penalty soft-constrained mpc	l1-penalty-qp
the rlign algorithm for enhanced electrocardiogram analysis through r-peak alignment for explainable classification and clustering	rlign

2024-08-09

paper	code
drift control of high-dimensional rbm: a computational method based on neural networks	rbmsolver
analyzing operator states and the impact of ai-enhanced decision support in control rooms: a human-in-the-loop specialized reinforcement learning framework for intervention strategies	drl-based-decision-support
rl-adn: a high-performance deep reinforcement learning environment for optimal energy storage systems dispatch in active distribution networks	rl-adn
probabilistic energy forecasting through quantile regression in reproducing kernel hilbert spaces	kernel_quantile_regression
inference with the upper confidence bound algorithm	ucb-stability-plots
fool: addressing the downlink bottleneck in satellite computing with neural feature compression	the-fool
exploiting structure in quantum relative entropy programs	qrep-structure

2024-08-08

paper	code
exploiting semantic localization in highly dynamic wireless networks using deep homoscedastic domain adaptation	semanticloc
telco-rag: navigating the challenges of retrieval-augmented language models for telecommunications	telco-rag
deep reinforcement learning with enhanced ppo for safe mobile robot navigation	navbot_ppo
unleashing the power of data tsunami: a comprehensive survey on data assessment and selection for instruction tuning of language models	fantastic-data-engineering
real-time event recognition of long-distance distributed vibration sensing with knowledge distillation and hardware acceleration	efficient-dvs
bayes-optimal learning of an extensive-width neural network from quadratically many samples	ExtensiveWidthQuadraticSamples

2024-08-07

paper	code
learning-based optimal control with performance guarantees for unknown systems with latent states	pgopt
radial partitioning with spectral penalty parameter selection in distributed optimization for power systems	dicarp
comparison analysis between standard polysomnographic data and in-ear-eeg signals: a preliminary study	in_ear_eeg_vs_psg

2024-08-06

paper	code
the computation of approximate feedback stackelberg equilibria in multi-player nonlinear constrained dynamic games	feedbackstackelberggames.jl
distributionally robust policy and lyapunov-certificate learning	DR_Stabilizing_Policy
sky-gvio: an enhanced gnss/ins/vision navigation with fcn-based sky-segmentation in urban canyon	sky-view-images
fadam: adam is a natural gradient optimizer using diagonal empirical fisher information	fadam_pytorch

2024-08-05

paper	code
design tasks and their complexity for the european train control system with hybrid train detection	mtct
approximate message passing with rigorous guarantees for pooled data and quantitative group testing	amp_pooled_qgt
robust beamforming with gradient-based liquid neural network	GLNN
functional renormalization group for signal detection and stochastic ergodicity breaking	stochastic-signal-detection
secure targeted message dissemination in iot using blockchain enabled edge computing	Blockchain-IoT

2024-08-02

paper	code
localization of brain activity from eeg/meg using mv-pure framework	supFunSim
hierarchical state space models for continuous sequence-to-sequence modeling	hiss
graph neural network-based surrogate modelling for real-time hydraulic prediction of urban drainage networks	GNN-UDS

2024-08-01

paper	code
k-deep simplex: deep manifold learning via local dictionaries	manifold-learning-with-simplex-constraints
sleepyco: automatic sleep scoring with feature pyramid and contrastive learning	sleepyco
planar friction modelling with lugre dynamics and limit surfaces	frictionmodelling
stimulus-informed generalized canonical correlation analysis for group analysis of neural responses to natural stimuli	si-gcca
an exact theory of causal emergence for linear stochastic iteration systems	an_exact_causal_emergence_theory

2024-07-31

paper	code
single-shot quantum signal processing interferometry	qsp-interferometry
robust beamforming for ris-aided communications: gradient-based manifold meta learning	GMML
vertecs: a cots-based payload interface board to enable next generation astronomical imaging payloads	vertecs-ccb
edge learning based collaborative automatic modulation classification for hierarchical cognitive radio networks	CAMC
f-kans: federated kolmogorov-arnold networks	F-KANs

2024-07-30

paper	code
convex hulls of reachable sets	chreach
ensemble kalman filters with resampling	enkf-with-resampling
benchmarking domain adaptation for chemical processes on the tennessee eastman process	tep-domain-adaptation
smart hpa: a resource-efficient horizontal pod auto-scaler for microservice architectures	smart_hpa
explainable online unsupervised anomaly detection for cyber-physical systems via causal discovery from time series	causal_anomaly_detection
a new framework for nonlinear kalman filters	a-new-framework-for-nonlinear-kalman-filters
optimization-based outlier accommodation for tightly coupled rtk-aided inertial navigation systems in urban environments	UrbanRTK-INS-OutlierOpt
computing an aircraft's gliding range and minimal return altitude in presence of obstacles and wind	glikonal
selection for short-term empowerment accelerates the evolution of homeostatic neural cellular automata	empowered-nca-ii
online network traffic classification based on external attention and convolution by ip packet header	ECM-for-Network-Traffic-Classification

2024-07-29

paper	code
a physical-layer orchestration framework for open system models of autonomous riss	self-configuring-orchestration
mds-ed: multimodal decision support in the emergency department -- a benchmark dataset for diagnoses and deterioration prediction in emergency medicine	mds-ed
a scalable quantum non-local neural network for image classification	QNL-Net

2024-07-26

paper	code
physics-enhanced graph neural networks for soft sensing in industrial internet of things	PEGNN_SS
detection of manatee vocalisations using the audio spectrogram transformer	manatees
scaling training data with lossy image compression	lossycompressionscalingkdd2024

2024-07-25

paper	code
lab-scale vibration analysis dataset and baseline methods for machinery fault diagnosis with machine learning	vbl-va001
ekf-sindy: empowering the extended kalman filter with sparse identification of nonlinear dynamics	ekf-sindy
toward real-time digital twins of em environments: computational benchmark of ray launching software	ray-launching-benchmark
from data to predictive control: a framework for stochastic linear systems with output measurements	d2pc
probing the information theoretical roots of spatial dependence measures	spatial-self-information

2024-07-24

paper	code
automated security response through online learning with adaptive conjectures	csle
suppressing modulation instability with reinforcement learning	nlse-rl
using explainable ai for eeg-based reduced montage neonatal seizure detection	braineocare
channel shaping using beyond diagonal reconfigurable intelligent surface: analysis, optimization, and enhanced flexibility	channel-shaping-using-beyond-diagonal-reconfigurable-intelligent-surface
dc is all you need: describing relu from a signal processing standpoint	relu_dc_is_all_you_need

2024-07-23

paper	code
learned kernels for sparse, interpretable, and efficient medical time series processing	smolk
ensemble kalman filtering meets gaussian process ssm for non-mean-field and online inference	gpssmproj
distributed model predictive control for heterogeneous platoons with affine spacing policies and arbitrary communication topologies	dmpc_itsc_2024
llm experiments with simulation: large language model multi-agent system for simulation model parametrization in digital twins	llmdrivensimulation
dreamer: dual-ris-aided imager in complementary modes	dreamer
efficient sampling for data-driven frequency stability constraint via forward-mode automatic differentiation	frequency_sample_ad
can all variations within the unified mask-based beamformer framework achieve identical peak extraction performance?	unified_framework_for_mask-based_bf
the rlign algorithm for enhanced electrocardiogram analysis through r-peak alignment for explainable classification and clustering	rlign
experimenting with adaptive bitrate algorithms for virtual reality streaming over wi-fi	ALVR_ABR_UPF
rifo: pushing the efficiency of programmable packet schedulers	rifo
the information geometry of umap	info-geometry-umap
cachegen: kv cache compression and streaming for fast large language model serving	cachegen
multi-sources information fusion learning for multi-points nlos localization	AMDNloc
adaptive foundation models for online decisions: hyperagent with fast incremental uncertainty estimation	GPT-HyperAgent
attention-based sic ordering and power allocation for non-orthogonal multiple access networks	asopa
schedulability analysis in time-sensitive networking: a systematic literature review	Database-schedulability-analysis-in-TSN
sustainable broadcasting in blockchain network with reinforcement learning	eth-broadcast-protocol

2024-07-22

paper	code
algorithms for non-negative matrix factorization on noisy data with negative values	nearly_nmf
large language models for power scheduling: a user-centric approach	llm-power-scheduling
ttt: a temporal refinement heuristic for tenuously tractable discrete time reachability problems	OVERTVerify.jl
rigorous dynamical mean field theory for stochastic gradient descent methods	rigorous-dynamical-mean-field-theory
quantifying the impact of frame preemption on combined tsn shapers	quantifying-the-impact-of-fp-on-cbs-gcl

2024-07-19

paper	code
multi-scale transformer-based network for emotion recognition from multi physiological signals	EPiC-2023-ACII
thraws: a novel dataset for thermal hotspots detection in raw sentinel-2 data	pyraws
advanced mathematical modelling for energy-efficient data transmission and fusion in wireless sensor networks	bpnn_wsn
reconfigurable intelligent surface aided vehicular edge computing: joint phase-shift optimization and multi-user power allocation	DDPG-RIS-MADDPG-POWER
an empirical investigation into the time and frequency response characteristics of hopf resonators	DetectorBank
the language of infographics: toward understanding conceptual metaphor use in scientific storytelling	metaphortool
non-asymptotic uncertainty quantification in high-dimensional learning	UQ_high_dim_learning

2024-07-18

paper	code
luvira dataset validation and discussion: comparing vision, radio, and audio sensors for indoor localization	luvira_dataset
an l-bfgs-b approach for linear and nonlinear system identification under $\ell_1$- and group-lasso regularization	jax-sysid
on the solution uniqueness of data-driven modeling of flexible loads	on-the-solution-uniqueness-of-data-driven-modeling-of-flexible-loads
diffusion-aided joint source channel coding for high realism wireless image transmission	diffjscc
mmvr: millimeter-wave multi-view radar dataset and benchmark for indoor perception	12611978
netmind: adaptive ran baseband function placement by gcn encoding and maze-solving drl	netmind
friedkin-johnsen model for opinion dynamics on signed graphs	signfj

2024-07-17

paper	code
formal verification of unknown dynamical systems via gaussian process regression	transitionintervals.jl
hierarchical state space models for continuous sequence-to-sequence modeling	hiss
empowering safe reinforcement learning for power system control with commonpower	commonpower
joint data inpainting and graph learning via unrolled neural networks	Graph-Learning-via-Unrolling
multi-channel masked autoencoder and comprehensive evaluations for reconstructing 12-lead ecg from arbitrary single-lead ecg	mcma
algebra of nonlocal boxes and the collapse of communication complexity	algebra-of-boxes-code

2024-07-16

paper	code
you can wash hands better: accurate daily handwashing assessment with smartwatches	uwash
sample average approximation for stochastic programming with equality constraints	stochasticedl
constrained reinforcement learning using distributional representation for trustworthy quadrotor uav tracking control	consdred-smpc
single-shot quantum signal processing interferometry	qsp-interferometry
enhancing reinforcement learning agents with local guides	hebo
towards task-compatible compressible representations	research
auto-multilift: distributed learning and control for cooperative load transportation with quadrotors	Auto-Multilift
combining neural networks and symbolic regression for analytical lyapunov function discovery	CoNSAL
biased backpressure routing using link features and graph neural networks	dutybp
type-based unsourced multiple access	TUMA
a taxonomy and comparative analysis of ipv4 id selection correctness, security, and performance	IPIDSurvey-Code
oran-bench-13k: an open source benchmark for assessing llms in open radio access networks	oran-bench-13k
group projected subspace pursuit for block sparse signal reconstruction: convergence analysis and applications	BlockSparse
fast and provable simultaneous blind super-resolution and demixing for point source signals: scaled gradient descent without regularization	Simultaneous-Blind-Super-Resolution-and-Demixing

2024-07-15

paper	code
compressed sensing: a discrete optimization approach	discretecompressedsensing.jl
traffic signal optimization in large-scale urban road networks: an adaptive-predictive controller using ising models	ampic
joint load and capacity scheduling for flexible radio resource management of high-throughput satellites	HTS_RRM_Joint-Load-and-Capacity-Scheduling

2024-07-12

paper	code
subspacenet: deep learning-aided subspace methods for doa estimation	subspacenet
generalizable sleep staging via multi-level domain alignment	sleepdg
a fast multitaper power spectrum estimation in nonuniformly sampled time series	mtnufft
viability of low-cost infrared sensors for short range tracking	research
joint optimization of age of information and energy consumption in nr-v2x system based on deep reinforcement learning	joint-optimization-of-aoi-and-energy-consumption-in-nr-v2x-system-based-on-drl
hardware neural control of cartpole and f1tenth race car	neural-control-tools
real-time scheduling for 802.1qbv time-sensitive networking (tsn): a systematic review and experimental study	tsnkit

2024-07-11

paper	code
principal component analysis in space forms	HoroPCA
irka is a riemannian gradient descent method	rgd-irka-experiments
a coding-theoretic analysis of hyperspherical prototypical learning geometry	coding_theoretic_hpl
resource allocation for twin maintenance and computing task processing in digital twin vehicular edge computing network	resource-allocation-for-twin-maintenance-and-computing-tasks-in-digital-twin-mobile-edge-network

2024-07-10

paper	code
on completeness of sdp-based barrier certificate synthesis over unbounded domains	bcunbounded
subject-adaptive transfer learning using resting state eeg signals for cross-subject eeg motor imagery classification	miccai2024-restl
bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics	CCTA2024-BIDconvection
comparative evaluation of learning models for bionic robots: non-linear transfer function identifications	model-free-robotics
chance-constrained energy storage pricing for social welfare maximization	Storage_Pricing_for_Social_Welfare_Maximization
safe and reliable training of learning-based aerospace controllers	artifact-dasc-docking
fadam: adam is a natural gradient optimizer using diagonal empirical fisher information	fadam_pytorch
graph neural networks and deep reinforcement learning based resource allocation for v2x communications	gnn-and-drl-based-resource-allocation-for-v2x-communications

2024-07-09

paper	code
towards improving unit commitment economics: an add-on tailor for renewable energy and reserve predictions	bilevel_mip_cpo
an active learning method for solving competitive multi-agent decision-making and control problems	gnep-learn
identifiable specializations for ode models	identifiable-specializations-for-ode-models
cafnet: a confidence-driven framework for radar camera depth estimation	cafnet
annotation of sleep depth index with scalable deep learning yields novel digital biomarkers for sleep health	SDI
a new framework for nonlinear kalman filters	a-new-framework-for-nonlinear-kalman-filters
ldgcn: an edge-end lightweight dual gcn based on single-channel eeg for driver drowsiness monitoring	driver-drowsiness-monitoring
sem-o-ran: semantic and flexible o-ran slicing for nextg edge-assisted mobile systems	semoran
information limits and thouless-anderson-palmer equations for spiked matrix models with structured noise	spiked-matrix-models-with-structured-noise
rpn: reconciled polynomial network towards unifying pgms, kernel svms, mlp and kan	tinyBIG

2024-07-08

paper	code
neuro-bert: rethinking masked autoencoding for self-supervised neurological pretraining	OpenBioSeq
design tasks and their complexity for the european train control system with hybrid train detection	mtct
swinjscc: taming swin transformer for deep joint source-channel coding	swinjscc
learning multi-frequency partial correlation graphs	bspcg
mt-hccar: multi-task deep learning with hierarchical classification and attention-based regression for cloud property retrieval	mt-hccar
feature characterization for profile surface texture	feature-characterization-for-profile-surface-texture
groupwise deformable registration of diffusion tensor cardiovascular magnetic resonance: disentangling diffusion contrast, respiratory and cardiac motions	dtcmr-reg
prediction of rare channel conditions using bayesian statistics and extreme value theory	bayesian_evt_urllc
biometric authentication based on enhanced remote photoplethysmography signal morphology	rppg_biometrics
inference through innovation processes tested in the authorship attribution task	InnovationProcessesInference
wetlinks: a large-scale longitudinal starlink dataset with contiguous weather data	wetlinks
starlink on the road: a first look at mobile starlink performance in central europe	starlink-on-the-road

2024-07-04

paper	code
fullsubnet: a full-band and sub-band fusion model for real-time single-channel speech enhancement	FullSubNet
regret optimal control for uncertain stochastic systems	scenariosafeminregret
comparing lazy constraint selection strategies in train routing with moving block control	mtct
edpnet: an efficient dual prototype network for motor imagery eeg decoding	edpnet
evaluating ml-based anomaly detection across datasets of varied integrity: a case study	cyberml-dataquality

2024-07-03

paper	code
rapid scalable distributed power flow with open-source implementation	rapidPF
hypergraph-based fast distributed ac power flow optimization	rapidPF
deep imbalanced regression to estimate vascular age from ppg data: a novel digital biomarker for cardiovascular health	Dist-Loss
adaptive control of reaction-diffusion pdes via neural operator-approximated gain kernels	NeuralOperatorParabolicAdaptiveControl
accelerating time-to-science by streaming detector data directly into perlmutter compute nodes	streaming-paper-with-code
optimizing age of information in vehicular edge computing with federated graph neural network multi-agent reinforcement learning	optimizing-aoi-in-vec-with-federated-graph-neural-network-multi-agent-reinforcement-learning

2024-07-02

paper	code
towards improving unit commitment economics: an add-on tailor for renewable energy and reserve predictions	bilevel_mip_cpo
turbidity control in sedimentation columns by direction dependent models	tunepi
on completeness of sdp-based barrier certificate synthesis over unbounded domains	bcunbounded
stimulus-informed generalized canonical correlation analysis for group analysis of neural responses to natural stimuli	si-gcca
structure-preserving discretization and model order reduction of boundary-controlled 1d port-hamiltonian systems	drb
integrating pre-trained language model with physical layer communications	on-device-ai-comm
srvit: vision transformers for estimating radar reflectivity from satellite observations at scale	srvit
robust low-cost drone detection and classification in low snr environments	noisy-drone-rf-signal-classification-v2
large language models for power scheduling: a user-centric approach	llm-power-scheduling
dadee: well-calibrated uncertainty quantification in neural networks for barriers-based robot safety	DADEE
marlp: time-series forecasting control for agricultural managed aquifer recharge	kdd24_marlp
bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics	CCTA2024-BIDconvection
uav trajectory planning with path processing	TrajectoryPathProcess
neural distributed source coding	neural-dsc
generalization error of graph neural networks in the mean-field regime	gnn_mf_ge

2024-07-01

paper	code
linear periodically time-variant digital pll phase noise modeling using conversion matrices and uncorrelated upsampling	PLL
spatio-spectral structure tensor total variation for hyperspectral image denoising and destriping	spatio-spectral-structure-tensor-total-variation-for-hyperspectral-image-denoising-and-destriping
convex optimization of initial perturbations toward quantitative weather control	Weather-Control-by-InitCond
solving differential equations using physics-informed deep equilibrium models	pideq
fadam: adam is a natural gradient optimizer using diagonal empirical fisher information	fadam_pytorch
kernel vs. kernel: exploring how the data structure affects neural collapse	shallow_nc1
machine learning predictors for min-entropy estimation	ml-predictors-min-entropy-estimation

2024-06-28

paper	code
real-time machine-learning-based optimization using input convex lstm	iclstm
a deep automotive radar detector using the radelft dataset	RaDelft-Dataset
incremental measurement of structural entropy for dynamic graphs	incre-se
partial information decomposition: redundancy as information bottleneck	pid-as-ib
local to global: learning dynamics and effect of initialization for transformers	markov

2024-06-27

paper	code
federated learning compression designed for lightweight communications	fl_exps
whalenet: a novel deep learning architecture for marine mammals vocalizations on watkins marine mammal sound database	whalenet
listening to the noise: blind denoising with gibbs diffusion	gibbs-diffusion
bounding stochastic safety: leveraging freedman's inequality with discrete-time control barrier functions	freedman
towards task-compatible compressible representations	research
flocora: federated learning compression with low-rank adaptation	flocora_eusipco24
benchmarking mortality risk prediction from electrocardiograms	ecg-survival-benchmark
emt: a novel transformer for generalized cross-subject eeg emotion recognition	emt

2024-06-26

paper	code
coordinate-based neural representations for computational adaptive optics in widefield microscopy	cocoa
multi-modal conformal prediction regions with simple structures by optimizing convex shape templates	conformal_region_designer
neuromorphic control of a pendulum	neuromorphic-pendulum-control
explainable online unsupervised anomaly detection for cyber-physical systems via causal discovery from time series	causal_anomaly_detection
mind's eye: image recognition by eeg via multimodal similarity-keeping contrastive learning	MUSE_EEG
a multi-resolution mutual learning network for multi-label ecg classification	mrm
xi-net: transformer based seismic waveform reconstructor	waveformreconstructor
constructing structured tensor priors for bayesian inverse problems	AbTensors
the information geometry of umap	info-geometry-umap
evaluating ml-based anomaly detection across datasets of varied integrity: a case study	cyberml-dataquality
joint admission control and resource allocation of virtual network embedding via hierarchical deep reinforcement learning	hrl-acra

2024-06-25

paper	code
sigma-point kalman filter with nonlinear unknown input estimation via optimization and data-driven approach for dynamic systems	SPKF-nUI
motion-robust free-running volumetric cardiovascular mri	motion-robust-CMR
discrete approximations of gaussian smoothing and gaussian derivatives	pyscsp
markov chain monte carlo multi-scan data association for sets of trajectories	batch-tpmbm-using-mcmc-sampling
enhancing system-level safety in mixed-autonomy platoon via safe reinforcement learning	Safe_RL_Mixed_Traffic
feature characterization for profile surface texture	feature-characterization-for-profile-surface-texture
combining neural networks and symbolic regression for analytical lyapunov function discovery	CoNSAL
automatic ai model selection for wireless systems: online learning via digital twinning	DT-powered-AMS
compact model parameter extraction via derivative-free optimization	dfo_parameter_extraction
differentiable distributionally robust optimization layers	differentiable_dro_layers
learning and communications co-design for remote inference systems: feature length selection and transmission scheduling	impact-of-data-freshness-in-learning

2024-06-24

paper	code
a comparative study of deep learning and iterative algorithms for joint channel estimation and signal detection in ofdm systems	mimo_jcesd
a geometry-based stochastic wireless channel model using channel images	geostochasticchanmodel
diffusion-based failure sampling for cyber-physical systems	difs
large language model-driven curriculum design for mobile networks	LLM-CL
reinforcement-learning based routing for packet-optical networks with hybrid telemetry	packetopticallatencyrl

2024-06-21

paper	code
self-supervised learning for human activity recognition using 700,000 person-days of wearable data	ssl-wearables
vessim: a testbed for carbon-aware applications and systems	vessim
using power system modelling outputs to identify weather-induced extreme events in highly renewable systems	stressful-weather
agent coordination via contextual regression (agentconcur) for data center flexibility	agentconcur
reachability analysis using constrained polynomial logical zonotopes	Logical-Zonotope
eeg-dbnet: a dual-branch network for temporal-spectral decoding in motor-imagery brain-computer interfaces	eeg-dbnet
abnet: attention barriernet for safe and scalable robot learning	ABNet
on the inductive biases of demographic parity-based fair learning algorithms	fairness-ib

2024-06-20

paper	code
autonomous integration of tsn-unaware applications with qos requirements in tsn networks	tsn-unaware-integration

2024-06-19

paper	code
a comparison benchmark for distributed hybrid mpc control methods: distributed vehicle platooning	hybrid-vehicle-platoon
eeg2rep: enhancing self-supervised eeg representation through informative masked inputs	eeg2rep
interpretable modulated differentiable stft and physics-informed balanced spectrum metric for freight train wheelset bearing cross-machine transfer fault diagnosis under speed fluctuations	PyDSN
a comparative analysis of the ensemble methods for drug design	Comparative-Analysis
make your home safe: time-aware unsupervised user behavior anomaly detection in smart homes via loss-guided mask	smartguard

2024-06-18

paper	code
towards safe multi-task bayesian optimization	2024-code-l4dc-safe-multi-task-bayesian-optimization
afs-bm: enhancing model performance through adaptive feature selection with binary masking	afs_bm-algorithm
global geolocated realtime data of interfleet urban transit bus idling	idling
a decoupled approach for composite sparse-plus-smooth penalized optimization	compositesps
leveraging symmetries in gaits for reinforcement learning: a case study on quadrupedal gaits	bittle_leveraging_symmetries_in_rl
sim2real in reconstructive spectroscopy: deep learning with augmented device-informed data simulation	rec_spectrometer
constructive safety-critical control: synthesizing control barrier functions for partially feedback linearizable systems	reducedordermodelcbfs.jl
full reference point cloud quality assessment using support vector regression	frsvr-pcqa
deep-reinforcement-learning-based aoi-aware resource allocation for ris-aided iov networks	ris-rb-aoi-v2x-drl
reconfigurable intelligent surface assisted vec based on multi-agent reinforcement learning	ris-vec-marl
an efficient frequency diversity scheme for ultra-reliable communications in two-path fading channels	two-ray-ultra-reliability
generalization error of graph neural networks in the mean-field regime	gnn_mf_ge

2024-06-17

paper	code
neural operators for pde backstepping control of first-order hyperbolic pide with recycle and delay	no_hyperbolic_delay
guarantees on robot system performance using stochastic simulation rollouts	performance_guarantees
semantic: semantic interference cancellation towards 6g wireless communications	SemantIC
harmonics of learning: universal fourier features emerge in invariant networks	spectral-universality
some contributions to lagrangian modelling of power converters	H-F-Dc-Dc-Power-converters
version control of speaker recognition systems	SpeakerVerSim
algebra of nonlocal boxes and the collapse of communication complexity	algebra-of-boxes-code

2024-06-14

paper	code
discrete fully probabilistic design: towards a control pipeline for the synthesis of policies from examples	discrete-fpd
toward fully-end-to-end listened speech decoding from eeg signals	fesde
multimodal learning without labeled multimodal data: guarantees and applications	pid

2024-06-13

paper	code
can transformers learn optimal filtering for unknown systems?	meta-output-predictor
melep: a novel predictive measure of transferability in multi-label ecg diagnosis	melep-ecg
unitsa: a universal reinforcement learning framework for v2x traffic signal control	universal_light
port-hamiltonian neural ode networks on lie groups for robot dynamics learning and control	LieGroupHamDL
llm-assisted light: leveraging large language model capabilities for human-mimetic traffic signal control in complex urban environments	llm-assisted-light
provably robust score-based diffusion posterior sampling for plug-and-play image reconstruction	diffusion-plug-and-play
regime learning for differentiable particle filters	Regime_Switching
approximation properties relative to continuous scale space for hybrid discretizations of gaussian derivative operators	pyscsp
semantic-aware resource allocation based on deep reinforcement learning for 5g-v2x hetnets	semantic-aware-resource-allocation-based-on-deep-reinforcement-learning-for-5g-v2x-hetnets
bcamirs at semeval-2024 task 4: beyond words: a multimodal and multilingual exploration of persuasion in memes	beyond-words-a-multimodal-exploration-of-persuasion-in-memes
individual packet features are a risk to model generalisation in ml-based intrusion detection	IPF

2024-06-12

paper	code
optimization-based motion planning for autonomous agricultural vehicles turning in constrained headlands	headland_trajectory_planning
disco might not be funky: random intelligent reflective surface configurations that attack	disco-intelligent-reflecting-surfaces-active-channel-aging-for-fully-passive-jamming-attacks
room transfer function reconstruction using complex-valued neural networks and irregularly distributed microphones	complex-sound-field
flexloc: conditional neural networks for zero-shot sensor perspective invariance in object localization with distributed multimodal sensors	flexloc
accelerating ill-conditioned hankel matrix recovery via structured newton-like descent	HSNLD
analog information decoding of bosonic quantum ldpc codes	mqt-qecc
scaling large-language-model-based multi-agent collaboration	chatdev
image and video tokenization with binary spherical quantization	bsq-vit

2024-06-11

paper	code
a unified multi-task semantic communication system for multimodal data	t-udeepsc
comparisons of two-stage models for flood mitigation of electrical substations	2023.0125
dh-ptam: a deep hybrid stereo events-frames parallel tracking and mapping system	dh-ptam
distributionally robust receive beamforming	beamforming
global geolocated realtime data of interfleet urban transit bus idling	idling
solving inverse problems with model mismatch using untrained neural networks within model-based architectures	a-adaptive-model-based-methods
singing voice graph modeling for singfake detection	singgraph
compressible dynamics in deep overparameterized low-rank learning & adaptation	deep-lora-transformers
winner-takes-all learners are geometry-aware conditional density estimators	VoronoiWTA
risk-aware finite-horizon social optimal control of mean-field coupled linear-quadratic subsystems	risk-aware-mean-field-coupled-lq-simulations-and-plots
soundscape captioning using sound affective quality network and large language model	soundscaper
lessons from generalization error analysis of federated learning: you may communicate less often!	generalization_fl_icml2024
localized adaptive risk control	localized-adaptive-risk-control
fadam: adam is a natural gradient optimizer using diagonal empirical fisher information	fadam_pytorch
physics-informed deep learning and compressive collocation for high-dimensional diffusion-reaction equations: practical existence theory and numerics	PINN_high_dimensional_PDE

2024-06-10

paper	code
safe value functions	vibly
data-driven observability analysis for nonlinear stochastic systems	data-obs
learning coverage paths in unknown environments with deep reinforcement learning	rl-cpp
neural control system for continuous glucose monitoring and maintenance	NeuralCGMM
active sensing for reciprocal mimo channels	active-sensing-for-reciprocal-mimo-channels
adversarial attacks and defenses in fault detection and diagnosis: a comprehensive benchmark on the tennessee eastman process	fdd-defense
configuration-constrained tube mpc for tracking	CCTMPC_tracking
learning optimal linear precoding for cell-free massive mimo with gnn	olp-gnn
digital twins of the em environment: benchmark for ray launching models	ray-launching-benchmark
dyst (did you see that?): an amplified covert channel that points to previously seen data	dyst
s$\omega$i: score-based o-information estimation	soi
revisiting attention weights as interpretations of message-passing neural networks	gatt

2024-06-07

paper	code
clarifying the effect of mean subtraction on dynamic mode decomposition	msub_mdselect_dmd
selective noise suppression methods using random svpwm to shape the noise spectrum of pmsms	SNS-in-random-SVPWM
boosting reinforcement learning with strongly delayed feedback through auxiliary short delays	ad-rl
parameter-adaptive approximate mpc: tuning neural-network controllers without retraining	adaptive-ampc-cartpole
privacy preserving semi-decentralized mean estimation over intermittently-connected networks	private-collaborative-relaying
informed graph learning by domain knowledge injection and smooth graph signal representation	igl
active ml for 6g: towards efficient data generation, acquisition, and annotation	active_ML_6G
untrained neural nets for snapshot compressive imaging: theory and algorithms	SCI-BDVP

2024-06-06

paper	code
lyapunov-stable neural control for state and output feedback: a novel formulation	lyapunov_stable_nn_controllers
interpreting deepcode, a learned feedback code	deepcode-interpretability
random matrix theory improved fr'echet mean of symmetric positive definite matrices	icml-rmt-2024
constructive safety-critical control: synthesizing control barrier functions for partially feedback linearizable systems	reducedordermodelcbfs.jl
sound heuristic search value iteration for undiscounted pomdps with reachability objectives	hsvi-rp
commonpower: supercharging machine learning for smart grids	commonpower
solving differential equations using physics-informed deep equilibrium models	pideq
deeppolar: inventing nonlinear large-kernel polar codes via deep learning	deeppolar
routeplacer: an end-to-end routability-aware placer with graph neural network	routeplacer

2024-06-05

paper	code
robust waveform design for integrated sensing and communication	robust-waveform
dynamics harmonic analysis of robotic systems: application in data-driven koopman modelling	dynamicsharmonicsanalysis
morphological symmetries in robotics	morphosymm
understanding the differences in foundation models: attention, state space models, and recurrent neural networks	dsf-mqar
fast networked data selection via distributed smoothed quantile estimation	distributedfasttopkselection
version control of speaker recognition systems	SpeakerVerSim
kernel vs. kernel: exploring how the data structure affects neural collapse	shallow_nc1

2024-06-04

paper	code
deep optimal transport for domain adaptation on spd manifolds	deep-optimal-transport-for-domain-adaptation-on-spd-manifolds
hypergraph-mlp: learning on hypergraphs without message passing	hypergraph-mlp
a simulation preorder for koopman-like lifted control systems	simlifsys
scalable multi-modal model predictive control via duality-based interaction predictions	hmpc_raidnet
implicit bias of policy gradient in linear quadratic control: extrapolation to unseen initial states	imp_bias_control
learning to optimize with convergence guarantees using nonlinear system theory	convergentl2o
regime learning for differentiable particle filters	Regime_Switching
state-free inference of state-space models: the transfer function approach	RTF
an unsupervised approach for periodic source detection in time series	unsupervised_periodicity_detection
a gaussian process-based streaming algorithm for prediction of time series with regimes and outliers	Lintel
vertecs: a cots-based payload interface board to enable next generation astronomical imaging payloads	vertecs-ccb
implementing reinforcement learning datacenter congestion control in nvidia nics	rl-cc
how can we train deep learning models across clouds and continents? an experimental study	hivemind-multi-cloud
the information geometry of umap	info-geometry-umap
fadam: adam is a natural gradient optimizer using diagonal empirical fisher information	fadam_pytorch
physics-informed deep learning and compressive collocation for high-dimensional diffusion-reaction equations: practical existence theory and numerics	PINN_high_dimensional_PDE

2024-06-03

paper	code
mixed-integer optimal control via reinforcement learning: a case study on hybrid electric vehicle energy management	td3aq

2024-05-31

paper	code
a large-scale evaluation of speech foundation models	s3prl
eeg-dbnet: a dual-branch network for temporal-spectral decoding in motor-imagery brain-computer interfaces	eeg-dbnet
medformer: a multi-granularity patching transformer for medical time-series classification	medformer

2024-05-30

paper	code
signal processing meets sgd: from momentum to filter	SGDF-Optimizer
faultformer: pretraining transformers for adaptable bearing fault classification	faultformer
random forests for detecting weak signals and extracting physical information: a case study of magnetic navigation	magnav
goal-reaching trajectory design near danger with piecewise affine reach-avoid computation	parc
convex neural network synthesis for robustness in the 1-norm	convex-nn-synthesis-1norm
on the properties and estimation of pointwise mutual information profiles	bmi
track initialization and re-identification for~3d multi-view multi-object tracking	mv-glmb-ab

2024-05-29

paper	code
assessment of unsteady flow predictions using hybrid deep learning based reduced order models	Assessment-of-hybrid-DLROM
multi-device task-oriented communication via maximal coding rate reduction	taskcommmcr2
structure-preserving transformers for sequences of spd matrices	spdtransnet
learning locally interacting discrete dynamical systems: towards data-efficient and scalable prediction	arnca
a general framework for supporting economic feasibility of generator and storage energy systems through capacity and dispatch optimization	ecogen-ccd
outlier-robust kalman filtering through generalised bayes	weighted-likelihood-filter
sleepfm: multi-modal representation learning for sleep across brain activity, ecg and respiratory signals	sleepfm-codebase
reinforced model predictive control via trust-region quasi-newton policy optimization	ecc24_tr_improved_qn_po_for_mpc_in_rl
llm experiments with simulation: large language model multi-agent system for process simulation parametrization in digital twins	llmdrivensimulation
sensor-based distributionally robust control for safe robot navigation in dynamic environments	DR_Safe_Navigation
a linear algebraic framework for dynamic scheduling over memory-equipped quantum networks	dynschedsimulator_journal
mambavc: learned visual compression with selective state spaces	2024-mambavc
enhancing sustainable urban mobility prediction with telecom data: a spatio-temporal framework approach	teltomob

2024-05-28

paper	code
a non-interior-point continuation method for the optimal control problem with equilibrium constraints	nipocpec
enn: a neural network with dct adaptive activation functions	enn
dynamics harmonic analysis of robotic systems: application in data-driven koopman modelling	dynamicsharmonicsanalysis
physics-informed appliance signatures generator for energy disaggregation	edframe
complete and near-optimal robotic crack coverage and filling in civil infrastructure	crack-filling-robot
intention-aware control based on belief-space specifications and stochastic expansion	intentaware
wav-kan: wavelet kolmogorov-arnold networks	Wav-KAN
safe deep model-based reinforcement learning with lyapunov functions	salved
usd: unsupervised soft contrastive learning for fault detection in multivariate time series	code_usd
netmamba: efficient network traffic classification via pre-training unidirectional mamba	NetMamba

2024-05-27

paper	code
adversarial imitation learning from visual observations using latent information	ail_from_visual_obs
pde control gym: a benchmark for data-driven boundary control of partial differential equations	pdecontrolgym
on robust controlled invariants for continuous-time monotone systems	Contro_invariants
analog or digital in-memory computing? benchmarking through quantitative modeling	zigzag-imc
understanding the differences in foundation models: attention, state space models, and recurrent neural networks	dsf-mqar
perfect codes over non-prime power alphabets: an approach based on diophantine equations	perfect-q-ary-codes

2024-05-24

paper	code
planar friction modelling with lugre dynamics and limit surfaces	frictionmodelling
k-band: self-supervised mri reconstruction via stochastic gradient descent over k-space subsets	k-band
eegdir: electroencephalogram denoising network for temporal information storage and global modeling through retentive network	EEGDiR
identifiability of differential-algebraic systems	identifiabilitydae
a truly concurrent semantics for reversible ccs	reversible-ccs-as-nets

2024-05-22

paper	code
learning-based rigid tube model predictive control	tube-robust-mpc-with-uncertainty-quantification
reinforcement learning with model predictive control for highway ramp metering	mpcrl-for-ramp-metering
agile but safe: learning collision-free high-speed legged locomotion	abs
optimizing polynomial graph filters: a novel adaptive krylov subspace approach	AdaptKry
adversarial attacks and defenses in automated control systems: a comprehensive benchmark	fdd-defense
neuromorphic control of a pendulum	neuromorphic-pendulum-control
real-time safe control of neural network dynamic models with sound approximation	bond
an efficient compression method for sign information of dct coefficients via sign retrieval	sr
a gan-based data poisoning attack against federated learning systems and its countermeasure	vaguegan-data-poisoning-attack-and-its-countermeasure

2024-05-21

paper	code
openstreetmap-based autonomous navigation with lidar naive-valley-path obstacle avoidance	lib_planning
surrogate-based cross-correlation for particle image velocimetry	sbcc
discrete approximations of gaussian smoothing and gaussian derivatives	pyscsp
learning reduced-order linear parameter-varying models of nonlinear systems	sysid-2024-rom-lpv-learning
system-level safety guard: safe tracking control through uncertain neural network dynamics models	milpsafetyguard
global rewards in multi-agent deep reinforcement learning for autonomous mobility on demand systems	gr-madrl-amod
stable and safe human-aligned reinforcement learning through neural ordinary differential equations	neural-ordinary-differential-equations-based-lyapunov-barrier-actor-critic-nlbac
rscnet: dynamic csi compression for cloud-based wifi sensing	rscnet
surrogate modeling and control of medical digital twins	Metamodeling-and-Control-of-Medical-Digital-Twins_2024
joint chance constrained optimal control via linear programming	jcc_opt_control_lp
bounding stochastic safety: leveraging freedman's inequality with discrete-time control barrier functions	freedman
on the equivalence of direct and indirect data-driven predictive control approaches	ddpc
approximation properties relative to continuous scale space for hybrid discretizations of gaussian derivative operators	pyscsp
adaptive koopman embedding for robust control of complex nonlinear dynamical systems	adaptive-koopman
mamca -- optimal on accuracy and efficiency for automatic modulation classification with extended signal length	mamca
on robust reinforcement learning with lipschitz-bounded policy networks	Lipschitz-RL-MJX
teal: learning-accelerated optimization of wan traffic engineering	teal
interpretable diffusion via information decomposition	info-decomp
differentially private fair binary classifications	dp_fair_binary
netmamba: efficient network traffic classification via pre-training unidirectional mamba	NetMamba

2024-05-20

paper	code
safety guarantees for neural network dynamic systems via stochastic barrier functions	[neuralnetcontrolbarrier](https://github.com/aria