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) |