58 citations · 197 across the 46 of their papers we have counts for
3 papers · 1 filter
Deep Learning of Koopman Representation for Control
Yiqiang Han, Wenjian Hao, Umesh Vaidya
We develop a data-driven, model-free approach for the optimal control of the dynamical system. The proposed approach relies on the Deep Neural Network (DNN) based learning of Koopm…
A Fast Saddle-Point Dynamical System Approach to Robust Deep Learning
Yasaman Esfandiari, Aditya Balu, Keivan Ebrahimi +3
Recent focus on robustness to adversarial attacks for deep neural networks produced a large variety of algorithms for training robust models. Most of the effective algorithms invol…
Particle Clustering Machine: A Dynamical System Based Approach
Sambarta Dasgupta, Keivan Ebrahimi, Umesh Vaidya
Identification of the clusters from an unlabeled data set is one of the most important problems in Unsupervised Machine Learning. The state of the art clustering algorithms are bas…