E-10: Machine Learning Methods in Inverse Problems (invited) |
| Session Type: Virtual |
| Time: Wednesday, November 03, 08:15 - 09:45 |
| Location: Room 4 |
| Virtual Session: Attend on Virtual Platform |
| Session Chair: Hassan Mansour, Mitsubishi Electric Research Labs (MERL) |
| E-10.1: Radar Autofocus Using Deep Priors |
| Hassan Mansour; Mitsubishi Electric Research Laboratories |
| Petros Boufounos; Mitsubishi Electric Research Laboratories |
| E-10.2: KR-LISTA: Re-Thinking Unrolling for Covariance-Driven Sparse Inverse Problems |
| Sina Shahsavari; University of California, San Diego |
| Pulak Sarangi; University of California, San Diego |
| Piya Pal; University of California, San Diego |
| E-10.3: Model-Based Deep Learning with Inexact Data-Consistency Layers |
| Jiaming Liu; Washington University in St. Louis |
| Yu Sun; Washington University in St. Louis |
| Weijie Gan; Washington University in St. Louis |
| Xiaojian Xu; Washington University in St. Louis |
| Brendt Wohlberg; Los Alamos National Laboratory |
| Ulugbek Kamilov; Washington University in St. Louis |
| E-10.4: Quantifying uncertainty for ill-posed inverse problems using invertible neural networks; a numerical study |
| Tristan van Leeuwen; Centrum Wiskunde & Informatica |
| Gabrio Rizzuti; Utrecht University |
| Felix Herrmann; Georgia Institute of Technology |
| Ali Siahkoohi; Georgia Institute of Technology |