SS-L1: Model based machine learning for wireless communications and sensing
Tue, 16 Apr, 13:10 - 15:10 (UTC +9)
Location: Room 209A
Session Type: Lecture
Session Co-Chairs: Nir Shlezinger, Ben Gurion University of the Negev and Yonina Eldar, Weizmann Institute of Science
Track: Special Sessions
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Tue, 16 Apr, 13:10 - 13:30 (UTC +9)
 

SS-L1.1: RAPID HYBRID MODULAR RECEIVE BEAMFORMING VIA LEARNED OPTIMIZATION
Ohad Levy, Nir Shlezinger, Ben-Gurion University, Israel
Tue, 16 Apr, 13:30 - 13:50 (UTC +9)
 

SS-L1.2: MODEL-BASED LEARNING FOR LOCATION-TO-CHANNEL MAPPING
Baptiste CHATELIER, Univ Rennes, INSA Rennes, CNRS, IETR-UMR 6164 / Mitsubishi Electric R&D Centre Europe, Rennes / b<>com, France; Luc LE MAGOAROU, Univ Rennes, INSA Rennes, CNRS, IETR-UMR 6164, France; Vincent CORLAY, Mitsubishi Electric R&D Centre Europe, Rennes / b<>com, France; Matthieu CRUSSIERE, Univ Rennes, INSA Rennes, CNRS, IETR-UMR 6164 / b<>com, France
Tue, 16 Apr, 13:50 - 14:10 (UTC +9)
 

SS-L1.3: PARTIALLY OBSERVABLE MODEL-BASED LEARNING FOR ISAC RESOURCE ALLOCATION
Petteri Pulkkinen, Aalto University, Saab Finland Oy, Finland; Visa Koivunen, Aalto University, Finland
Tue, 16 Apr, 14:10 - 14:30 (UTC +9)
 

SS-L1.4: JOINT CHANNEL ESTIMATION AND DATA DETECTION IN MASSIVE MIMO SYSTEMS BASED ON DIFFUSION MODELS
Nicolas Zilberstein, Rice University, United States of America; Ananthram Swami, DEVCOM Army Research Laboratory, United States of America; Santiago Segarra, Rice University, United States of America
Tue, 16 Apr, 14:30 - 14:50 (UTC +9)
 

SS-L1.5: CHANNEL ESTIMATION IN UNDERDETERMINED SYSTEMS UTILIZING VARIATIONAL AUTOENCODERS
Michael Baur, Nurettin Turan, Benedikt Fesl, Wolfgang Utschick, Technical University of Munich, Germany
Tue, 16 Apr, 14:50 - 15:10 (UTC +9)
 

SS-L1.6: CROSSWORD: A SEMANTIC APPROACH TO TEXT COMPRESSION VIA MASKING
Mingxiao Li, Rui Jin, The Chinese University of Hong Kong (Shenzhen), China, China; Liyao Xiang, Shanghai Jiao Tong University, China, China; Kaiming Shen, Shuguang Cui, The Chinese University of Hong Kong (Shenzhen), China, China