MLSP-6: Compressed Sensing and Learning |
| Session Type: Poster |
| Time: Tuesday, 8 June, 14:00 - 14:45 |
| Location: Gather.Town |
| Virtual Session: View on Virtual Platform |
| Session Chair: Chandra Sekhar Seelamantula, Indian Institute of Science |
| MLSP-6.1: ONE-BIT COMPRESSED SENSING USING UNTRAINED NETWORK PRIOR |
| Swatantra Kafle; Syracuse University |
| Geethu Joseph; Syracuse University |
| Pramod K. Varshney; Syracuse University |
| MLSP-6.2: DEEP UNFOLDING NETWORK FOR BLOCK-SPARSE SIGNAL RECOVERY |
| Rong Fu; Tsinghua University |
| Vincent Monardo; Carnegie Mellon University |
| Tianyao Huang; Tsinghua University |
| Yimin Liu; Tsinghua University |
| MLSP-6.3: REST: ROBUST LEARNED SHRINKAGE-THRESHOLDING NETWORK TAMING INVERSE PROBLEMS WITH MODEL MISMATCH |
| Wei Pu; University College London |
| Chao Zhou; University College London |
| Yonina C. Eldar; Weizmann Institute of Science |
| Miguel R.D. Rodrigues; University College London |
| MLSP-6.4: UNFOLDING NEURAL NETWORKS FOR COMPRESSIVE MULTICHANNEL BLIND DECONVOLUTION |
| Bahareh Tolooshams; Harvard University |
| Satish Mulleti; Weizmann Institute of Science |
| Demba Ba; Harvard University |
| Yonina C. Eldar; Weizmann Institute of Science |
| MLSP-6.5: SPARSITY DRIVEN LATENT SPACE SAMPLING FOR GENERATIVE PRIOR BASED COMPRESSIVE SENSING |
| Vinayak Killedar; Indian Institute of Science |
| Praveen Kumar Pokala; Indian Institute of Science |
| Chandra Sekhar Seelamantula; Indian Institute of Science |
| MLSP-6.6: A SPARSE CODING APPROACH TO AUTOMATIC DIET MONITORING WITH CONTINUOUS GLUCOSE MONITORS |
| Anurag Das; Texas A&M University |
| Seyedhooman Sajjadi; Texas A&M University |
| Bobak Mortazavi; Texas A&M University |
| Theodora Chaspari; Texas A&M University |
| Projna Paromita; Texas A&M University |
| Laura Ruebush; Texas A&M University |
| Nicolaas Deutz; Texas A&M University |
| Ricardo Gutierrez-Osuna; Texas A&M University |