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My Asilomar 2020 Schedule

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Technical Program

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TU3-4: Machine Learning in Communications

Session Type: Virtual
Time: Tuesday, November 3, 14:50 - 16:30
Location: Room 4
Session Chair: Emrah Akyol, Binghamton University
 
  TU3-4-1: STRATEGIC REMOTE ESTIMATION
         Griffin Rule; NYU
         Emrah Akyol; Binghamton University
 
  TU3-4-2: KERNEL RECURSIVE LEAST SQUARES BASED CANCELLATION OF SECOND-ORDER INTERMODULATION DISTORTION
         Christina Auer; Johannes Kepler University Linz
         Thomas Paireder; Johannes Kepler University Linz
         Oliver Lang; Johannes Kepler University Linz
         Mario Huemer; Johannes Kepler University Linz
 
  TU3-4-3: HOW TO MAKE 5G COMMUNICATIONS "INVISIBLE": ADVERSARIAL MACHINE LEARNING FOR WIRELESS PRIVACY
         Brian Kim; University of Maryland
         Yalin E. Sagduyu; Intelligent Automation, Inc.
         Kemal Davaslioglu; Intelligent Automation, Inc.
         Tugba Erpek; Intelligent Automation, Inc.
         Sennur Ulukus; University of Maryland
 
  TU3-4-4: DNN-BASED SUM-RATE MAXIMIZATION OF MULTICELL MISO NETWORKS
         Youjin Kim; Ulsan National Institute of Science and Technology
         Jonggyu Jang; Ulsan National Institute of Science and Technology
         Hyun Jong Yang; Pohang University of Science and Technology
 
  TU3-4-5: UNSUPERVISED TRAINING DATASET CURATION FOR DEEP-NEURAL-NET RF SIGNAL CLASSIFICATION
         George Sklivanitis; Florida Atlantic University
         Konstantinos Tountas; Florida Atlantic University
         Ngwe Thawdar; Air Force Research Laboratory
         Michael J. Medley; Air Force Research Laboratory
         Dimitris A. Pados; Florida Atlantic University