Technical Program

Note: All times are in Pacific Daylight Time (UTC -7)

D-5: Deep Learning for Inverse Problems (invited)

Session Type: Virtual
Time: Monday, October 31, 11:00 - 12:00
Location: Virtual I
Virtual Session: Attend on Virtual Platform
 
D-5.1: Coordinate-Based Multi-Layer Perceptrons as Deep Image Priors
         Reinhard Heckel; Technical University of Munich
         Yundi Zhang; Technical University of Munich
 
D-5.2: A Regularized Conditional GAN for Posterior Sampling in MRI Image Recovery
         Matt Bendel; Ohio State
         Rizwan Ahmad; Ohio State
         Philip Schniter; Ohio State
 
D-5.3: Plug-and-Play Priors using Mismatched Learned Image Priors
         Shirin Shoushtari; Washington University in St. Louis
         Jiaming Liu; Washington University in St. Louis
         Yuyang Hu; Washington University in St. Louis
         Ulugbek Kamilov; Washington University in St. Louis
 
D-5.4: Imaging Through Turbulence with GANs
         Brandon Y. Feng; University of Maryland, College Park
         Mingyang Xie; University of Maryland, College Park
         Christopher Metzler; University of Maryland, College Park