Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees

1 May 2020

George J. Pappas

Papers citing "Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees"

4 / 4 papers shown

Title
Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness Beomsu Kim Junghoon Seo AAML 25 0 0 21 Feb 2022
On the Convergence and Robustness of Adversarial Training Yisen Wang Xingjun Ma James Bailey Jinfeng Yi Bowen Zhou Quanquan Gu AAML 212 345 0 15 Dec 2021
Extracting Global Dynamics of Loss Landscape in Deep Learning Models Mohammed Eslami Hamed Eramian Marcio Gameiro W. Kalies Konstantin Mischaikow 23 1 0 14 Jun 2021
A Stochastic Subgradient Method for Distributionally Robust Non-Convex Learning Mert Gurbuzbalaban A. Ruszczynski Landi Zhu 26 9 0 08 Jun 2020