CSE19 - MS1-1: Adversarial Regularizers in Inverse Problem Presentation: Sebastian Lunz, University of Cambridge, United Kingdom, 22 min 50 sec

CSE19 - MS1-1: Adversarial Regularizers in Inverse Problem Document: CSE19 - MS1-1: Adversarial Regularizers in Inverse Problem

CSE19 - MS1-2: Machine Learning with Laplacian Smoothing Gradient Decent Presentation: Bao Wang, Department of Mathematics, UCLA, 15 min 1 sec

CSE19 - MS1-2: Machine Learning with Laplacian Smoothing Gradient Decent Document: CSE19 - MS1-2: Machine Learning with Laplacian Smoothing Gradient Decent

CSE19 - MS1-3: Simultaneous Parallel-in-layer Optimization for Training of Deep Residual Networks Presentation: Stefanie Guenther, Technische Universität Kaiserslautern, Germany, 22 min 57 sec

CSE19 - MS1-3: Simultaneous Parallel-in-layer Optimization for Training of Deep Residual Networks Document: CSE19 - MS1-3: Simultaneous Parallel-in-layer Optimization for Training of Deep Residual Networks

CSE19 - MS1-4: Neural Ordinary Differential Equations Presentation: Ricky T Q Chen, University of Toronto, Canada, 17 min 9 sec

CSE19 - MS1-4: Neural Ordinary Differential Equations Document: CSE19 - MS1-4: Neural Ordinary Differential Equations