SPCN-P1: Machine Learning for Communications and Sensing
Tue, 1 Sep, 10:50 - 12:30
Location: Balcony I West
Session Type: Poster
Session Chair: Paolo Di Lorenzo, Sapienza University - CNIT
Track: 7: SPCN - Signal processing for communications
Tue, 1 Sep, 10:50 - 12:30
SPCN-P1.1: OVER-THE-AIR SEMANTIC ALIGNMENT WITH STACKED INTELLIGENT METASURFACES
Tue, 1 Sep, 10:50 - 12:30
SPCN-P1.2: SEMANTICALLY-ENHANCED SOURCE-CHANNEL DECODING OF IMAGES TRANSMITTED OVER NOISY CHANNELS
Tue, 1 Sep, 10:50 - 12:30
SPCN-P1.6: Learning Probabilistic Sensor Placement for Detecting Diffusive Processes on Graphs
Tue, 1 Sep, 10:50 - 12:30
SPCN-P1.8: When to Parallelize for Stochastic Exploration of Rare Rewards in Reinforcement Learning
Tue, 1 Sep, 10:50 - 12:30
SPCN-P1.9: A VAE APPROACH TO LOW-POWER, MULTI-ADVERSARY PILOT CONTAMINATION ATTACKS IN CF-MMIMO
Tue, 1 Sep, 10:50 - 12:30