Nicholas H. Barbara

R2DN: Scalable Parameterization of Contracting and Lipschitz Recurrent Deep Networks

This paper presents the Robust Recurrent Deep Network (R2DN), a scalable parameterization of stable and robust recurrent neural networks for machine learning and data-driven control, and finds that training and inference are up to an order of magnitude faster with similar performance, and that they scale more favorably...