Preprint
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Convolutional sequence modeling revisited
Convolutional sequence modeling revisited
Demand Response of Ancillary Service From Industrial Loads Coordinated With Energy Storage
Provable Defenses against Adversarial Examples via the Convex Outer Adversarial Polytope
A semismooth Newton method for fast, generic convex programming
Input Convex Neural Networks
Input convex neural networks: Supplementary material