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 |