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IMV-LSTM

Multi-variable LSTM current neural networks for prediction and interpretation of multi-variable time series

Guo, Tian, Tao Lin, and Nino Antulov-Fantulin. "Exploring interpretable LSTM neural networks over multi-variable data." International Conference on Machine Learning (ICML). 2019.

Guo T, Lin T, Lu Y. An interpretable LSTM neural network for autoregressive exogenous model[J]. workshop track on ICLR, 2018.

The PyTorch implementation can be found here (credits go to KurochkinAlexey) : https://github.com/KurochkinAlexey/IMV_LSTM

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Multi-variable LSTM recurrent neural networks for prediction and interpretation of multi-variable time series

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