SS-L17: Model Based Deep Learning |
| Session Type: Lecture |
| Time: Thursday, 7 May, 11:30 - 13:30 |
| Location: On-Demand |
| Virtual Session: View on Virtual Platform |
| Session Chairs: Yonina C. Eldar, Weizmann Institute of Science and Ruud JG van Sloun, Eindhoven University of Technology |
| SS-L17.1: DEEP SOFT INTERFERENCE CANCELLATION FOR MIMO DETECTION |
| Nir Shlezinger; Weizmann Institute of Science |
| Rong Fu; Tsinghua University |
| Yonina Eldar; Weizmann Institute of Science |
| SS-L17.2: AN EMPIRICAL BAYES APPROACH TO PARTIALLY LABELED AND SHUFFLED DATA SETS |
| Alex Dytso; Princeton University |
| H. Vincent Poor; Princeton University |
| SS-L17.3: REINFORCED DEPTH-AWARE DEEP LEARNING FOR SINGLE IMAGE DEHAZING |
| Tiantong Guo; Pennsylvania State University |
| Vishal Monga; Pennsylvania State University |
| SS-L17.4: LEARNING PLUG-AND-PLAY PROXIMAL QUASI-NEWTON DENOISERS |
| Abdullah Al-Shabili; New York University |
| Hassan Mansour; Mitsubishi Electric Research Laboratories (MERL) |
| Petros T. Boufounos; Mitsubishi Electric Research Laboratories (MERL) |
| SS-L17.5: JOINT OPTIMIZATION OF SAMPLING PATTERNS AND DEEP PRIORS FOR IMPROVED PARALLEL MRI |
| Hemant Kumar Aggarwal; University of Iowa |
| Mathews Jacob; University of Iowa |
| SS-L17.6: LEARNING SAMPLING AND MODEL-BASED SIGNAL RECOVERY FOR COMPRESSED SENSING MRI |
| Iris A.M. Huijben; Eindhoven University of Technology |
| Bastiaan S. Veeling; University of Amsterdam |
| Ruud J.G. van Sloun; Eindhoven University of Technology |