TP1a: Machine Learning for Communications
Tue, 27 Oct, 13:30 - 15:10 PT (UTC -7)
Location: Room 1
Session Type: Lecture
Session Chair: Andrea Tonello, Universität Klagenfurt, Austria
Track: Communication Systems
Tue, 27 Oct, 13:30 - 13:55 PT (UTC -7)

TP1a.1: Reducing Complexity of Graph Neural Network-based Message Passing Detection
Jannis Clausius, Stephan ten Brink, University of Stuttgart, Germany
Tue, 27 Oct, 13:55 - 14:20 PT (UTC -7)

TP1a.2: Site-Specific Finetuning of Wireless Receivers
Reinhard Wiesmayr, Nuri Berke Baytekin, ETH Zurich, Switzerland; Chris Dick, NVIDIA, United States; Christoph Studer, ETH Zurich, Switzerland
Tue, 27 Oct, 14:20 - 14:45 PT (UTC -7)

TP1a.3: Insights on f-Divergence-Based Surrogate Objective Functions for Mutual Information Maximization
Nicola Novello, Nunzio A. Letizia, University of Klagenfurt, Austria; Deniz Gündüz, Imperial College London, United Kingdom; Andrea M. Tonello, University of Klagenfurt, Austria
Tue, 27 Oct, 14:45 - 15:10 PT (UTC -7)

TP1a.4: AI-native Semantic Communications via Causal Information Bottleneck
Giuseppe Di Poce, CEA-LETI, France; Gabriele D'Acunto, Department of Information Engineering, Electronics, and Telecommunications, Sapienza University, Rome, Italy, Italy; Emilio Calvanese Strinati, CEA-LETI, France; Sergio Barbarossa, Paolo Di Lorenzo, Department of Information Engineering, Electronics, and Telecommunications, Sapienza University, Rome, Italy, Italy