Technical Program

Paper Detail

Note: All times are in Pacific Daylight Time (UTC -7)
Paper: E-10.4
Paper Title:  Quantifying uncertainty for ill-posed inverse problems using invertible neural networks; a numerical study
Authors:  Tristan van Leeuwen, Centrum Wiskunde & Informatica, Netherlands; Gabrio Rizzuti, Utrecht University, Netherlands; Felix Herrmann, Ali Siahkoohi, Georgia Institute of Technology, United States
Session: Machine Learning Methods in Inverse Problems (invited)
Location: Room 4
Presentation Time: Wednesday, November 03, 08:15 - 09:45
Virtual Presentation:   Attend on Virtual Platform
Presentation:  Virtual
Topic:  Array Processing and Multisensor Systems: Invited Session: Machine Learning Methods in Inverse Problems