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Two papers accepted in NeurIPS 2021

Noisy Recurrent Neural Networks ([preprint](https://arxiv.org/pdf/2102.04877.pdf)), and Compressing Deep ODE-Nets using Basis Function Expansions ([preprint](https://arxiv.org/pdf/2106.10820.pdf)) which is joint work with Google Research.

Two papers accepted in ICLR 2021

Lipschitz Recurrent Neural Networks ([preprint](https://openreview.net/pdf?id=-N7PBXqOUJZ)) and Adversarially-Trained Deep Nets Transfer Better ([preprint](https://openreview.net/pdf?id=ijJZbomCJIm)).

Two papers accepted in ICML 2020

Forecasting sequential data using consistent Koopman autoencoders ([preprint](https://arxiv.org/pdf/2003.02236.pdf)) and Error Estimation for Sketched SVD via the Bootstrap ([preprint](https://arxiv.org/pdf/2003.04937.pdf)).

First Workshop on Scientific-Driven Deep Learning (SciDL)

I am happy to be one of the organizerse of this workshop with a great lineup of speakers.