Search Results for author: Neehal Tumma

Found 2 papers, 0 papers with code

Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control

no code implementations5 Oct 2023 Neehal Tumma, Mathias Lechner, Noel Loo, Ramin Hasani, Daniela Rus

In this work, we explore the application of recurrent neural networks to tasks of this nature and understand how a parameterization of their recurrent connectivity influences robustness in closed-loop settings.

Cannot find the paper you are looking for? You can Submit a new open access paper.