The Schedule
Day 1
August 12th
Eastern Daylight Time in the US
08:20 - 08:30
Gregery Buzzard, Professor of Mathematics at Purdue University
Break 10:10 - 10:20
11:10 - 12:00
Jianfeng Lu, Professor of Mathematics, Chemistry, and Physics at Duke University
Lunch 12:00 - 13:30
14:20 - 15:10
Andrea Montanari, Professor of Electrical Engineering, Statistics, and Mathematics at Stanford University
Break 15:10 - 15:20
15:20 - 16:10
Daniel Hsu, Associate professor of Computer Science at Columbia University
16:10 - 17:00
Jason Lee, Assistant professor of Electrical and Computer Engineering and Computer Science at Princeton University
Dinner 17:00 - 19:00
Contributed Talks 19:00 - 21:30
See Abstract via [link]
19:00-19:20: Towards Neural Network Approaches for High Dimensional Problems, Mo Zhou, Duke University, (video)
19:20-19:40: Optimization with Learning-Informed Partial Differential Equation Constraints, Guozhi Dong, Humboldt University of Berlin (video)
19:40-20:00: Solving PDEs on Unknown Manifolds with Machine Learning, Senwei Liang, Purdue University (video)
20:00-20:20: Deep Ritz Method for the Spectral Fractional Laplacian Equation using the Caffarelli-Silvestre Extension, Yiqi Gu, The University of Hong Kong
10 Minute Break
20:30-20:50: Physics-Informed Neural Networks for Shear-Induced Particle Migration, Daihui Lu, Purdue University (video)
20:50-21:10: A Reduced Order Schwarz Method for Nonlinear Multiscale Elliptic Equations based on Two-Layer Neural Networks, Shi Chen, University of Wisconsin-Madison (video)
21:10-21:30: A Deep Learning Based Discontinuous Galerkin Method for Hyperbolic Equations with Discontinuous Solutions and Random Uncertainties, Liyao Lyu, Michigan State University (video)
Day 2
August 13th
Eastern Daylight Time in the US
Break 10:10 - 10:20
10:20 - 11:10
Risi Kondor, Associate Professor of Computer Science, Statistics, and Computational and Applied Mathematics, The University of Chicago
Lunch 12:00 - 13:30
Break 15:10 - 15:20
15:20 - 16:10
John Wright, Associate Professor of Electrical Engineering at Columbia University
Dinner 17:00 - 19:00
Contributed Talks 19:00 - 21:30
See Abstract via [link]
19:00-19:20: Galerkin Transformer, Shuhao Cao, Washington University in St. Louis (video)
19:20-19:40: Approximation Properties of Deep ReLU CNNs, Juncai He, The University of Texas at Austin (video)
19:40-20:00: Deep Networks and the Multiple Manifold Problem, Sam Buchanan, Columbia University (video)
20:00-20:20: Overparameterization of Deep ResNet: Zero Loss and Mean-Field Analysis, Zhiyan Ding, University of Wisconsin-Madison (video)
10 Minute Break
20:30-20:50: Asymptotic Optimality and Minimal Complexity of Classification by Random Projection, Evzenie Coupkova, Purdue University (video)
20:50-21:10: Multi-Objective Reinforcement Learning with Non-Linear Scalarization, Mridul Agarwal, Purdue University (video)