CSE19 - MS35-1: A Mean-field Optimal Control Formulation of Deep Learning Presentation: Jiequn Han, Princeton University, U.S., 21 min 8 sec

CSE19 - MS35-1: A Mean-field Optimal Control Formulation of Deep Learning Document: CSE19 - MS35-1: A Mean-field Optimal Control Formulation of Deep Learning

CSE19 - MS35-2: Semi-Implicit Convolutional Neural Networks Presentation: Keegan Lensink, University of British Columbia, Canada, 19 min 39 sec

CSE19 - MS35-2: Semi-Implicit Convolutional Neural Networks Document: CSE19 - MS35-2: Semi-Implicit Convolutional Neural Networks

CSE19 - MS35-3: Trimming Linear and non-Linear Models Document: CSE19 - MS35-3: Trimming Linear and non-Linear Models

CSE19 - MS35-4: Deep Inversion - Latent Space Analysis of Autoencoders for Inverse Problems Presentation: Christoph Brune, University of Twente, Netherlands, 21 min 18 sec

CSE19 - MS35-4: Deep Inversion - Latent Space Analysis of Autoencoders for Inverse Problems Document: CSE19 - MS35-4: Deep Inversion - Latent Space Analysis of Autoencoders for Inverse Problems