PROGRAM
A detailed program containing the talks and links to the abstracts can be found here (all times are given in Central European Summer Time (CEST)):
Talk length
Note that the 30-minute slots for contributed talks should comprise the presentation and questions from the audience. We thus strongly recommend to plan a presentation length of about 20 minutes to allow for at least 5 minutes of discussion. The same holds for plenary (45+15 minutes) and invited (35+10 minutes) talks.Login information
The conference will be held via Zoom:- Room P (Welcome, Plenary, Invited, and Closing Sessions)
- Room A (Contributed Sessions)
- Room B (Contributed Sessions)
List of plenary talks
- Clarice Poon - Compressed sensing off-the-grid
(Mon., September 13, 13.30-14.30) - Afonso Bandeira - Non-commutative Matrix Concentration Inequalities
(Tue., September 14, 13:00-14:00) - Stefan Steinerberger - Random Walks on the Sphere and Linear Systems of Equations
(Tue., September 14, 17:00-18:00) - Rayan Saab - A greedy algorithm for quantizing neural networks
(Wed., September 15, 9.00-10.00) - Michael Bronstein - Geometric Deep Learning: from Euclid to drug design
(Wed., September 15, 13.00-14.00) - Felix Voigtländer - Approximation theory
of complex-valued neural networks
(Thu., September 16, 13.00-14.00) - Emanuel Carneiro - Fourier optimization problems in number theory
(Thu., September 16, 17.00-18.00) - Demba Ba - Sparse Coding, Artificial Neural Networks, and the Brain: Toward “Substantive Intelligence”
(Fri., September 17, 14.00-15.00)
List of invited talks
- Florian Boßmann - Structural Sparsity in Multiple Measurements
(Mon., September 13, 14.30-15.15) - Raja Giryes - Smoothness in neural networks
(Tue., September 14, 14:00-14:45) - Chenglong Bao - Unsupervised deep learning for image denoising and segmentation: beyond Gaussian likelihood
(Wed., September 15, 14:00-14:45) - Emily King - Mathematical analysis of neural networks
(Thu., September 16, 14:00-14:45)