Monday, July 8, 2019
Time | Event | (+) |
08:00 - 09:15 | Registration - Café & croissant | |
09:15 - 09:25 | Welcome (A22 Amphi Wegener) - Guy Melançon | |
09:25 - 10:25 | Signal processing on graphs for applications in machine learning and network science (A22 Amphi Wegener) - Pierre Vandergheynst | |
10:25 - 12:30 | Compressed sensing and low rank matrix recovery (invited) (A22 Amphi Wegener) - Felix Kramer & Richard Kueng | (+) |
10:25 - 12:30 | Gabor Analysis (A22 Amphi Edison) - Volker Pohl | (+) |
12:30 - 14:00 | Lunch | |
14:00 - 15:00 | Sharpness, Restart and Compressed Sensing Performance (A22 Amphi Wegener) - Alexandre d'Aspremont | |
15:00 - 16:15 | Frame theory (invited) (A22 Amphi Wegener) - John Jasper & Dustin Mixon | (+) |
15:00 - 16:15 | Phase retrieval (A22 Amphi Edison) - Gert Tamberg | (+) |
16:15 - 16:45 | Coffee break | |
16:45 - 17:35 | Frame theory (invited) (A22 Amphi Wegener) - John Jasper & Dustin Mixon | (+) |
16:45 - 18:00 | Probabilistic Methods (A22 Amphi Edison) - Holger Rauhut | (+) |
Tuesday, July 9, 2019
Time | Event | (+) |
08:30 - 09:30 | Metric repair on manifolds with holes (A22 Amphi Wegener) - Anna Gilbert (University of Michigan) | |
09:30 - 10:00 | Coffee break | |
10:05 - 12:10 | Time-frequency analysis (invited) (A9 Amphi 1) - Antti Haimi & José-Luis Romero | (+) |
10:05 - 12:10 | Compressed Sensing (A9 amphi 2) - Simon Foucart | (+) |
10:05 - 12:10 | Deep Learning (A9 Amphi 3) - Mahya Ghandehari | (+) |
12:10 - 13:45 | Lunch | |
13:45 - 14:45 | Combinatorial compressed sensing with expanders (A22 Amphi Wegener) - Bubacarr Bah | |
14:55 - 16:10 | Deep learning (invited) (A9 Amphi 1) - Misha Belkin & Mahdi Soltanolkotabi | (+) |
14:55 - 16:10 | Frame Theory (A9 amphi 2) - Ole Christensen | (+) |
14:55 - 16:10 | Phase retrieval (A9 Amphi 3) - Jo Lakey | (+) |
16:20 - 17:10 | Deep learning (invited) (A9 Amphi 1) - Misha Belkin & Mahdi Soltanolkotabi | (+) |
16:20 - 17:35 | Quantization (A9 Amphi 3) - Ozgur Yilmaz | (+) |
16:20 - 17:35 | Frame Theory (A9 amphi 2) - Ole Christensen | (+) |
17:45 - 20:00 | Poster & Welcome Party (Haut Carré) | (+) |
Wednesday, July 10, 2019
Time | Event | (+) |
08:30 - 09:30 | Approximation by crystal invariant subspaces (A22 Amphi Wegener) - Ursula Molter | |
09:30 - 10:00 | Coffee break | |
10:05 - 12:10 | Phase Retrieval (invited) (A9 Amphi 1) - Tom Goldstein & Irène Waldspurger | (+) |
10:05 - 12:10 | Non-Euclidean Signal Processing (graphs, manifolds,...) (A9 amphi 2) - Elena Lebedeva | (+) |
12:10 - 14:00 | Lunch | |
14:00 - 20:00 | Excursion |
Thursday, July 11, 2019
Time | Event | (+) |
08:30 - 09:30 | Bagging the Peaks: Matrix and Tensor Factorization with Unimodal Constraints (A22 Amphi Wegener) - Urbashi Mitra | |
09:30 - 10:00 | Coffee break | |
10:05 - 12:10 | Missing data imputation (invited) (A9 Amphi 1) - Laura Balzano & Rod Little | (+) |
10:05 - 12:10 | Sampling end Fourier Analysis (A9 amphi 2) - Ahmed Zayed | (+) |
12:10 - 13:45 | Lunch | |
13:45 - 14:45 | Lyapunov's theorem and sampling of continuous frames (A22 Amphi Wegener) - Marcin Bownik | |
14:50 - 16:05 | Graph signal processing (invited) (A9 Amphi 1) - Karlheinz Gröchenig & Isaac Pesenson | (+) |
14:50 - 16:05 | Wavelets, Shearlets… (A9 amphi 2) - Andi Kivinukk | (+) |
14:50 - 16:05 | Super-resolution (A9 Amphi 3) - Sinan Gunturk | (+) |
16:05 - 16:30 | Coffee break | |
16:30 - 18:10 | Graph signal processing (invited) (A9 Amphi 1) - Karlheinz Gröchenig & Isaac Pesenson | (+) |
16:30 - 17:45 | Wavelets, Shearlets… (A9 amphi 2) - Andi Kivinukk | (+) |
16:30 - 17:45 | Sampling end Fourier Analysis (A9 Amphi 3) - Arash Amini | (+) |
19:30 - 23:00 | Conference Diner at "Café du port" |
Friday, July 12, 2019
Time | Event | (+) |
08:30 - 09:30 | Robust and efficient identification of neural networks (A22 Amphi Wegener) - Massimo Fornasier | |
09:30 - 10:00 | Coffee break | |
10:00 - 12:05 | Quantization (invited) (A22 Amphi Wegener) - Sjoerd Dirksen & Rayan Saab | (+) |
10:00 - 12:05 | Fourier Analysis (A22 Amphi Edison) - Jeff Hogan | (+) |
12:05 - 13:30 | Lunch | |
13:30 - 14:20 | Deep Learning (A22 Amphi Wegener) - Radu Balan | (+) |
13:30 - 14:20 | Inverse problems (A22 Amphi Edison) - Steven Casey | (+) |
14:30 - 15:35 | Learning from moments - Large-scale learning with the memory of a goldfish (A22 Amphi Wegener) - Rémi Gribonval (and closing) |