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The 3 R's and P's of Autonomous Driving: Robustness, Randomness, and Risk in Perception, Prediction, and Planning
Presenter
- Adrien Gaidon
October 5, 2020
IPAM
Computational methods for nonlocal mean field games with applications
Presenter
- Levon Nurbekyan
May 7, 2020
IPAM
Feature purification: How adversarial training can perform robust deep learning
Presenter
- Yuanzhi Li
March 16, 2020
IAS
Shift invariance for the six-vertex model and directed polymers
Presenter
- Vadim Gorin
February 3, 2020
IPAM
Integrating de novo protein biochemistry and metagenomics to tease apart evolutionary processes acting on environmental microbial populations
Presenter
- A. Murat Eren
January 23, 2020
IPAM
Understanding machine learning via exactly solvable statistical physics models
Presenter
- Lenka Zdeborova
November 18, 2019
IPAM
Hidden Physics Models: Machine Learning of Non-Linear Partial Differential Equations
Presenter
- Maziar Raissi
October 29, 2019
IPAM
Molecular design blueprints: materials and catalysts from new simulation and machine learning tools
Presenter
- Heather Kulik
October 15, 2019
IPAM