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Predicting the Future: LSTM vs Transformers for Time Series Modeling

A comparison analysis between LSTM and Transformer models in the context of time-series forecasting. While LSTMs have long been a cornerstone, the advent of Transformers has sparked significant interest due to their attention mechanisms. In this study, we pinpoint which particular features of time series datasets could lead transformer-based models to outperform LSTM models.

Read more: https://deep-learning-mit.github.io/staging/blog/2023/time-series-lstm-transformer/

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A comparison analysis between LSTM and Transformer models in the context of time-series forecasting.

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