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TU1.I: Machine Learning for Communcations I

Session Type: Poster

Time: Tuesday, 5 May, 11:30 - 13:30

Location: On-Demand

Session Chairs: Osvaldo Simeone, King's College London and Joakim Jaldén, KTH Royal Institute of Technology

TU1.I.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

TU1.I.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

TU1.I.3: Q-LEARNING BASED PREDICTIVE RELAY SELECTION FOR OPTIMAL RELAY BEAMFORMING

Anastasios Dimas; Rutgers University

Konstantinos Diamantaras; International Hellenic University

Athina Petropulu; Rutgers University

TU1.I.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

TU1.I.5: TRANSFERABLE POLICIES FOR LARGE SCALE WIRELESS NETWORKS WITH GRAPH NEURAL NETWORKS

Mark Eisen; Intel Corporation

Alejandro Ribeiro; University of Pennsylvania

TU1.I.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

TU1.I.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

TU1.I.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

TU1.I.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

TU1.I.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

TU1.I.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

TU1.I.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)