Technical Program

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SPCOM-P1: Machine Learning for Communcations I

Session Type: Poster
Time: Tuesday, 5 May, 11:30 - 13:30
Location: On-Demand
Virtual Session: View on Virtual Platform
Session Chairs: Osvaldo Simeone, King's College London and Joakim Jaldén, KTH Royal Institute of Technology
 
 SPCOM-P1.1: COMPLEX TRAINABLE ISTA FOR LINEAR AND NONLINEAR INVERSE PROBLEMS
         Satoshi Takabe; Nagoya Institute of Technology
         Tadashi Wadayama; Nagoya Institute of Technology
         Yonina Eldar; Weizmann Institute of Science
 
 SPCOM-P1.2: CONDITIONAL MUTUAL INFORMATION NEURAL ESTIMATOR
         Sina Molavipour; KTH Royal Institute of Technology
         Germán Bassi; KTH Royal Institute of Technology
         Mikael Skoglund; KTH Royal Institute of Technology
 
 SPCOM-P1.3: Q-LEARNING BASED PREDICTIVE RELAY SELECTION FOR OPTIMAL RELAY BEAMFORMING
         Anastasios Dimas; Rutgers University
         Konstantinos Diamantaras; International Hellenic University
         Athina Petropulu; Rutgers University
 
 SPCOM-P1.4: PEER TO PEER OFFLOADING WITH DELAYED FEEDBACK: AN ADVERSARY BANDIT APPROACH
         Miao Yang; ShanghaiTech University
         Hongbin Zhu; ShanghaiTech University
         Haifeng Wang; Shanghai Institute of Microsystem and Information Technology
         Yevgeni Koucheryavy; Tampere University
         Konstantin Samouylov; Peoples' Friendship University of Russia
         Hua Qian; Shanghai Advanced Research Institute, Chinese Academy of Sciences
 
 SPCOM-P1.5: TRANSFERABLE POLICIES FOR LARGE SCALE WIRELESS NETWORKS WITH GRAPH NEURAL NETWORKS
         Mark Eisen; Intel Corporation
         Alejandro Ribeiro; University of Pennsylvania
 
 SPCOM-P1.6: A ZEROTH-ORDER LEARNING ALGORITHM FOR ERGODIC OPTIMIZATION OF WIRELESS SYSTEMS WITH NO MODELS AND NO GRADIENTS
         Dionysios Kalogerias; University of Pennsylvania
         Mark Eisen; Intel Corporation
         George Pappas; University of Pennsylvania
         Alejandro Ribeiro; University of Pennsylvania
 
 SPCOM-P1.7: JOINT SPARSE RECOVERY USING DEEP UNFOLDING WITH APPLICATION TO MASSIVE RANDOM ACCESS
         Anand P. Sabulal; Indian Institute of Technology Madras
         Srikrishna Bhashyam; Indian Institute of Technology Madras
 
 SPCOM-P1.8: LEARNING-BASED CONTENT CACHING AND USER CLUSTERING: A DEEP DETERMINISTIC POLICY GRADIENT APPROACH
         Kun-Lin Chan; National Chiao Tung University
         Feng-Tsun Chien; National Chiao Tung University
 
 SPCOM-P1.9: LEARNING-AIDED CONTENT PLACEMENT IN CACHING-ENABLED FOG COMPUTING SYSTEMS USING THOMPSON SAMPLING
         Junge Zhu; ShanghaiTech University
         Xi Huang; ShanghaiTech University
         Ziyu Shao; ShanghaiTech University
 
 SPCOM-P1.10: JOINT CODING AND MODULATION IN THE ULTRA-SHORT BLOCKLENGTH REGIME FOR BERNOULLI-GAUSSIAN IMPULSIVE NOISE CHANNELS USING AUTOENCODERS
         Kirty Vedula; Worcester Polytechnic Institute
         Randy Paffenroth; Worcester Polytechnic Institute
         D. Richard Brown III; Worcester Polytechnic Institute
 
 SPCOM-P1.11: DEEP JOINT SOURCE-CHANNEL CODING FOR WIRELESS IMAGE RETRIEVAL
         Mikolaj Jankowski; Imperial College London
         Deniz Gündüz; Imperial College London
         Krystian Mikolajczyk; Imperial College London
 
 SPCOM-P1.12: META-LEARNING TO COMMUNICATE: FAST END-TO-END TRAINING FOR FADING CHANNELS
         Sangwoo Park; Korea Advanced Institute of Science and Technology (KAIST)
         Osvaldo Simeone; King’s College London
         Joonhyuk Kang; Korea Advanced Institute of Science and Technology (KAIST)