Two papers accepted in NeurIPS 2021

Noisy Recurrent Neural Networks ([preprint](, and Compressing Deep ODE-Nets using Basis Function Expansions ([preprint]( which is joint work with Google Research.

Two papers accepted in ICLR 2021

Lipschitz Recurrent Neural Networks ([preprint]( and Adversarially-Trained Deep Nets Transfer Better ([preprint](

Two papers accepted in ICML 2020

Forecasting sequential data using consistent Koopman autoencoders ([preprint]( and Error Estimation for Sketched SVD via the Bootstrap ([preprint](

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.