E-9: Sensing and Learning for Inverse Problems (invited) |
| Session Type: Virtual |
| Time: Tuesday, November 1, 11:00 - 12:00 |
| Location: Virtual G |
| Virtual Session: Attend on Virtual Platform |
| E-9.1: One-dimensional Deep Image Prior for Time Series Inverse Problems |
| Sriram Ravula; The University of Texas at Austin |
| Alexandros Dimakis; The University of Texas at Austin |
| E-9.2: Exact recovery of coordinate-based neural network image representations from Fourier samples |
| Gregory Ongie; Marquette University |
| E-9.3: Exploring the Geometry of Generative Priors with Applications in Cellular MRI |
| Sina Shahsavari; University of California, San Diego |
| Jiawen Chen; University of California, San Diego |
| Piya Pal; University of California, San Diego |
| E-9.4: Universality of Approximate Message Passing with Semi-Random Matrices |
| Yue Lu; Harvard University |