Theoretical Machine Learning Seminar
Deep Generative models and Inverse Problems
Modern deep generative models like GANs, VAEs and invertible flows are showing amazing results on modeling high-dimensional distributions, especially for images. We will show how they can be used to solve inverse problems by generalizing compressed sensing beyond sparsity. We will present the general framework, new results and open problems in this space.
Date & Time
April 23, 2020 | 3:00pm – 4:30pm
Location
https://theias.zoom.us/j/384099138Speakers
Alexandros Dimakis
Affiliation
University of Texas at Austin