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Why Deep Learning Works: Heavy-Tailed Random Matrix Theory as an Example of Physics Informed Machine Learning
Presenter
- Michael Mahoney
October 14, 2019
IPAM
Recent advances in Derivative-Free Optimization and its connection to reinforcement learning
Presenter
- Katya Scheinberg
September 25, 2019
IPAM
Deep Neural Networks Motivated By Differential Equations (Part 2/2)
Presenter
- Lars Ruthotto
September 10, 2019
IPAM
Deep Neural Networks Motivated By Differential Equations (Part 1/2)
Presenter
- Lars Ruthotto
September 9, 2019
IPAM
A theoretical look at adversarial examples: a perspective from high-dimensional geometry
Presenter
- Tom Goldstein
May 21, 2019
IPAM
Bridging Deep Neural Networks and Differential Equations for Image Analysis and Beyond
Presenter
- Bin Dong
May 1, 2019
IPAM
Loewner energy via Brownian loop measure and action functional analogs of SLE/GFF couplings (Part 2)
Presenter
- Yilin Wang
January 9, 2019
IPAM
Loewner energy via Brownian loop measure and action functional analogs of SLE/GFF couplings (Part 1)
Presenter
- Yilin Wang
January 8, 2019
IPAM
Architectural Implications of Communication-Avoiding Algorithms
Presenter
- James Demmel
November 27, 2018
IPAM