1 citations · 1 across the 3 of their papers we have counts for
4 papers
Object-Attentional Untargeted Adversarial Attack
Chao Zhou, Yuan-Gen Wang, Guopu Zhu
Deep neural networks are facing severe threats from adversarial attacks. Most existing black-box attacks fool target model by generating either global perturbations or local patche…
Robust lEarned Shrinkage-Thresholding (REST): Robust unrolling for sparse recover
Wei Pu, Chao Zhou, Yonina C. Eldar +1
In this paper, we consider deep neural networks for solving inverse problems that are robust to forward model mis-specifications. Specifically, we treat sensing problems with model…
A learning scheme by sparse grids and Picard approximations for semilinear parabolic PDEs
Jean-François Chassagneux, Junchao Chen, Noufel Frikha +1
Relying on the classical connection between Backward Stochastic Differential Equations (BSDEs) and non-linear parabolic partial differential equations (PDEs), we propose a new prob…
Pressure Predictions of Turbine Blades with Deep Learning
Cheng'an Bai, Chao Zhou
Deep learning has been used in many areas, such as feature detections in images and the game of go. This paper presents a study that attempts to use the deep learning method to pre…