D-10: Machine Learning III |
| Session Type: Virtual |
| Time: Tuesday, November 1, 11:00 - 12:00 |
| Location: Virtual D |
| Virtual Session: Attend on Virtual Platform |
| D-10.1: A Deep Compound Gaussian Regularized Unfolded Imaging Network |
| Carter Lyons; Colorado State University/U.S. Naval Research Lab |
| Raghu Raj; U.S. Naval Research Lab |
| Margaret Cheney; Colorado State University |
| D-10.2: Implicit Neural Representation for Mesh-Free Inverse Obstacle Scattering |
| Tin Vlašić; University of Zagreb |
| Hieu Nguyen; University of Basel |
| AmirEhsan Khorashadizadeh; University of Basel |
| Ivan Dokmanić; University of Basel |
| D-10.3: Risk-Sensitive Reinforcement Learning Via Entropic-VaR Optimization |
| Xinyi Ni; University of California, Davis |
| Lifeng Lai; University of California, Davis |
| D-10.4: SpectroscopyNet: Learning to pre-process Spectroscopy Signals without clean data |
| Juan Castorena; Research Scientist/Los Alamos National Laboratory |
| Diane Oyen; Research Scientist/Los Alamos National Laboratory |