My CAMSAP 2019 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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Click on the icon to view the manuscript on IEEE XPlore in the IEEE CAMSAP 2019 Open Preview.

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.

TN2: Mathematics of Deep Learning

Session Type: Lecture
Time: Tuesday, December 17, 16:00 - 17:20
Location: Salle Route du Rhum
Session Chairs: René Vidal, Johns Hopkins University and Jeremias Sulam, John Hopkins University
 
  TN2.1: GEOMETRIC DEEP LEARNING: APPROACHES AND APPLICATIONS
         Federico Monti; Twitter
 
  TN2.2: THE COMPLEXITY OF LEARNING DEEPLY-SPARSE SIGNAL REPRESENTATIONS
         Demba Ba; Harvard University
 
  TN2.3: RATE-DISTORTION EXPLANATION (RDE): A THEORETICAL FRAMEWORK FOR INTERPRETING NEURAL NETWORK DECISIONS
         Jan Macdonald; TU Berlin
         Stephan Wäldchen; TU Berlin
         Sascha Hauch; TU Berlin
         Gitta Kutyniok; TU Berlin
 
  TN2.4: GEOMETRIC APPROACH TO MATRIX COMPLETION
         Sanketh Vedula; Technion
         Amit Boyarski; Technion
         Alex Bronstein; Technion