Posts

Robustifying State-space Models for Long Sequences via Approximate Diagonalization ([preprint](https://openreview.net/pdf?id=DjeQ39QoLQ)) and Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs ([preprint](https://arxiv.org/pdf/2310.02619)).

Boosting model robustness to common corruptions ([preprint](https://proceedings.mlr.press/v238/erichson24a/erichson24a.pdf)).

Error Estimation for Random Fourier Features ([preprint](https://arxiv.org/pdf/2302.11174.pdf)).

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)).

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.