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My Asilomar 2020 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
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Technical Program

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

MO2-2: Machine Learning for Communication Systems

Session Type: Virtual
Time: Monday, November 2, 13:00 - 14:20
Location: Room 2
Session Chairs: Harpreet Dhilon, Virginia Tech and Ahmed Alkhateeb, Arizona State University
 
  MO2-2-1: END-TO-END LEARNING OF NEUROMORPHIC WIRELESS SYSTEMS FOR LOW-POWER EDGE ARTIFICIAL INTELLIGENCE
         Nicolas Skatchkovsky; King's College London
         Hyeryung Jang; King's College London
         Osvaldo Simeone; King's College London
 
  MO2-2-2: VISION AIDED URLL COMMUNICATIONS: PROACTIVE SERVICE IDENTIFICATION AND COEXISTENCE
         Muhammad Alrabeiah; Arizona State University
         Umut Demirhan; Arizona State University
         Andrew Hredzak; Arizona State University
         Ahmed Alkhateeb; Arizona State University
 
  MO2-2-3: WIDEBAND SIGNAL LOCALIZATION WITH SPECTRAL SEGMENTATION
         Nathan West; DeepSig Inc
         Tamoghna Roy; DeepSig Inc
         Tim O'Shea; DeepSig Inc
 
  MO2-2-4: LEARNING ON A GRASSMANN MANIFOLD: CSI QUANTIZATION FOR MASSIVE MIMO SYSTEMS
         Keerthana Bhogi; Virginia Tech
         Chiranjib Saha; Virginia Tech
         Harpreet S. Dhillon; Virginia Tech