Computational Harmonic Analysis and Data Science
Videos from CMO Workshop
Marco Cuturi, Apple / CREST ENSAE
Monday Oct 28, 2019 09:00 - 09:56
Optimal transport
Tingran Gao, University of Chicago
Monday Oct 28, 2019 10:00 - 10:31
Multi-Representation Manifold Learning on Fibre Bundles
Roy Lederman, Yale University
Monday Oct 28, 2019 11:09 - 11:45
On the Continuum Between Models, Data-Driven Discovery and Machine Learning: Mapping the Continuum of Molecular Conformations Using Cryo-Electron Microscopy
Shuyang Ling, New York University
Monday Oct 28, 2019 11:30 - 11:54
Group synchronization on complex networks: nonconvex optimization and Kuramoto model
Alexandre d'Aspremont, CNRS - ENS
Monday Oct 28, 2019 12:00 - 12:24
Sharpness, Restart, and Compressed Sensing Performance
Bernhard Bodmann, University of Houston
Monday Oct 28, 2019 17:06 - 17:32
Ulam’s game and phase retrieval with random binary questions
Stephane Mallat, Ecole Polytechnique
Tuesday Oct 29, 2019 09:02 - 09:59
Sparse Multiscale with Phase to model Deep Neural Networks
Hrushikesh Mhaskar, Claremont Graduate University
Tuesday Oct 29, 2019 10:07 - 10:27
Dimension independent bounds for approximation of smooth functions on metric spaces
Massimo Fornasier, Technische Universität München
Tuesday Oct 29, 2019 11:01 - 11:31
Robust and efficient identification of neural networks
Helmut Boelcskei, ETH Zurich
Tuesday Oct 29, 2019 11:33 - 12:21
Fundamental limits of deep neural network learning
Felix Krahmer, Technical University Munich
Wednesday Oct 30, 2019 17:08 - 17:38
On the convex geometry of blind deconvolution
Holger Rauhut, RWTH Aachen University
Thursday Oct 31, 2019 09:03 - 09:32
Convergence of gradient flows for learning deep linear networks
Soledad Villar, Johns Hopkins
Thursday Oct 31, 2019 10:09 - 10:37
Graph neural networks for combinatorial optimization problems on graphs
Nicolas Boumal, Princeton University
Thursday Oct 31, 2019 11:03 - 11:31
What is the role of curvature in complexity of optimization on manifolds?
Guy Wolf, Université de Montréal
Thursday Oct 31, 2019 11:35 - 12:13
Geometry-based Data Exploration
Eric Price, UT Austin
Thursday Oct 31, 2019 15:03 - 15:32
Estimating Fourier-sparse signals without a frequency gap
Mauro Maggioni, Johns Hopkins University
Thursday Oct 31, 2019 16:31 - 17:29
Learning Interaction laws in particle- and agent-based systems
