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, United States |
| TN2.2: THE COMPLEXITY OF LEARNING DEEPLY-SPARSE SIGNAL REPRESENTATIONS |
| Demba Ba, Harvard University, United States |
| TN2.3: RATE-DISTORTION EXPLANATION (RDE): A THEORETICAL FRAMEWORK FOR INTERPRETING NEURAL NETWORK DECISIONS |
| Jan Macdonald, Stephan Wäldchen, Sascha Hauch, Gitta Kutyniok, TU Berlin, Germany |
| TN2.4: GEOMETRIC APPROACH TO MATRIX COMPLETION |
| Sanketh Vedula, Amit Boyarski, Alex Bronstein, Technion, Israel |