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Two papers accepted in ICLR 2022 (one as spotlight)

Noisy Feature Mixup ([preprint](https://arxiv.org/pdf/2110.02180.pdf)) and Long Expressive Memory for Sequence Modeling ([preprint](https://arxiv.org/pdf/2110.04744.pdf)).

e-Seminar on Scientific Machine Learning

I am organizing an [e-Seminar on Scientific Machine Learning](https://scientific-ml.org/).

I am serveing as Area Chair for ICML'22.

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)).