IOL Lab

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36 repositories

OptimalDesignWithBoscia
Public
Solving the Exact Optimal Experiment Design Problem using the convex mixed-integer solver Boscia.jl
Julia
•1•0•0•0•Updated Aug 11, 2025Aug 11, 2025
FrankWolfe.jl
Public
Julia implementation for various Frank-Wolfe and Conditional Gradient variants
hacktoberfest optimization-algorithms first-order-methods frank-wolfe conditional-gradients optimization julia
Julia
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MIT License
•24•111•22•12•Updated Aug 11, 2025Aug 11, 2025
Boscia.jl
Public
Mixed-Integer Convex Programming: Branch-and-bound with Frank-Wolfe-based convex relaxations
julia nonlinear-optimization mixed-integer-programming first-order-methods frank-wolfe optimization optimization-algorithms
Julia
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MIT License
•5•29•20•4•Updated Aug 8, 2025Aug 8, 2025
EntanglementDetection.jl
Public
Separability decomposition and entanglement detection via Frank-Wolfe algorithms
Julia
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MIT License
•0•3•0•0•Updated Aug 2, 2025Aug 2, 2025
BellPolytopes.jl
Public
Bell inequalities and local models via Frank-Wolfe algorithms
frank-wolfe local-models bell-inequalities conditional-gradients local-polytope
Julia
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MIT License
•1•6•0•0•Updated Aug 2, 2025Aug 2, 2025
CombinatorialLinearOracles.jl
Public
Linear Minimization Oracles for Combinatorial Problems
Julia
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MIT License
•0•3•1•0•Updated Jul 10, 2025Jul 10, 2025
Benchmarks_for_FrankWolfe_and_Boscia
Public
Benchmarks for the FrankWolfe.jl and Boscia.jl packages
Julia
•0•0•1•0•Updated Jun 9, 2025Jun 9, 2025
neural-discovery-icml25
Public
Code to reproduce the experiments of the ICML25-paper: "Neural Discovery in Mathematics: Do Machines Dream of Colored Planes?"
deep-learning neural-networks ai4science ai4math
Python
•0•2•0•0•Updated Jun 6, 2025Jun 6, 2025
approximating-neural-network-manifolds
Public
Code for the paper "Approximating Latent Manifolds in Neural Networks via Vanishing Ideals"
learning algebra manifolds
0•0•0•0•Updated May 31, 2025May 31, 2025
OracleBorderBasis
Public
Code for reproducing the experiments of the paper "Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms"
Jupyter Notebook
•1•0•0•0•Updated May 29, 2025May 29, 2025
PERP
Public
Code to reproduce the experiments of the paper: "PERP: Rethinking the Prune-Retrain Paradigm in the ERA of LLMs"
sparsity deep-learning neural-network efficiency pytorch pruning finetuning llms
Python
•0•0•1•0•Updated Mar 22, 2025Mar 22, 2025
FedDistill
Public
Code to reproduce the experiments of the ICLR25 paper "On the Byzantine-Resilience of Distillation-Based Federated Learning"
deep-learning pytorch neural-networks knowledge-distillation byzantine federated-learning
Python
•1•4•0•0•Updated Mar 15, 2025Mar 15, 2025
AbsSmoothFrankWolfe.jl
Public
Algorithm for nonsmooth optimization
Julia
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MIT License
•0•5•0•0•Updated Nov 14, 2024Nov 14, 2024
SMS
Public
Code to reproduce the experiments of the ICLR24-paper: "Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging"
sparsity deep-learning neural-network optimization pytorch pruning averaging
Python
•1•10•0•0•Updated Oct 17, 2024Oct 17, 2024
pivoting_frankwolfe
Public
Julia
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MIT License
•0•0•0•0•Updated Sep 25, 2024Sep 25, 2024
ApproximateVanishingIdeals.jl
Public
approximate vanishing ideal computations
Julia
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MIT License
•1•2•0•0•Updated Sep 10, 2024Sep 10, 2024
AffineInvariantOLFW
Public
Code for the paper Accelerated Affine-Invariant Vonvergence Rates of the Frank-Wolfe Algorithm with Open-Loop Step-Sizes
frank-wolfe
Python
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MIT License
•0•0•0•0•Updated Jul 1, 2024Jul 1, 2024
open_loop_fast
Public
Python
•
MIT License
•0•0•0•0•Updated Jun 7, 2024Jun 7, 2024
frankwolfe-py
Public
Python
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Apache License 2.0
•0•2•1•0•Updated Apr 8, 2024Apr 8, 2024
merlin-arthur-classifiers
Public
Implementation of Merlin-Arthur-Classifier Framework presented at AISTATS24.
Python
•0•1•0•0•Updated Feb 27, 2024Feb 27, 2024
Network_Design_with_Integer_Frank_Wolfe
Public
Julia
•0•0•0•0•Updated Feb 21, 2024Feb 21, 2024
ALM.jl
Public
Julia
•0•0•0•0•Updated Dec 15, 2023Dec 15, 2023
AAPPR.jl
Public
Accelerated and Sparse Algorithms for Approximate Personalized PageRank and Beyond
Julia
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MIT License
•0•3•0•0•Updated Dec 11, 2023Dec 11, 2023
fw-rde
Public
Official implementation of the paper "Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings" by J. Macdonald, M. Besançon, and S. Pokutta (2021).
Python
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MIT License
•0•4•0•0•Updated Nov 16, 2023Nov 16, 2023
avi_at_scale
Public
Code for the paper: [Wirth, E., Kera, H., and Pokutta, S. (2022). Approximate vanishing ideal computations at scale.](https://arxiv.org/abs/2207.01236)
convex-optimization frank-wolfe approximate-vanishing-ideal
Python
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MIT License
•0•0•0•0•Updated Aug 24, 2023Aug 24, 2023
CGAVI
Public
Code for the paper: Wirth, E.S. and Pokutta, S., 2022, May. Conditional gradients for the approximately vanishing ideal. In International Conference on Artificial Intelligence and Statistics (pp. 2191-2209). PMLR.
frank-wolfe frank-wolfe-method vanishing-ideal
Python
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MIT License
•0•3•0•0•Updated Aug 24, 2023Aug 24, 2023
FrankWolfe-book-code
Public
Python implementation of Frank-Wolfe and Conditional Gradient algorithms
Python
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MIT License
•2•5•0•0•Updated Aug 18, 2023Aug 18, 2023
open_loop_fw
Public
Code for the paper: Wirth, E., Pokutta, S., and Kerdreux, T. (2023). Acceleration of Frank-Wolfe Algorithms with Open-Loop Step-Sizes. To Appear in Proceedings of AISTATS.
Python
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MIT License
•0•3•0•0•Updated Jul 7, 2023Jul 7, 2023
.github
Public
0•0•0•0•Updated Apr 27, 2023Apr 27, 2023
StochasticFrankWolfe
Public
Implementation of the Stochastic Frank Wolfe algorithm in TensorFlow and Pytorch.
neural-network constrained-optimization frank-wolfe deep-learning tensorflow pytorch
Python
•7•10•1•1•Updated Apr 18, 2023Apr 18, 2023