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Steve Fitzgerald - Path integral formulation of stochastic processes... - IPAM at UCLA
Presenter
- Steve Fitzgerald
March 30, 2023
IPAM
Paul Grigas - Offline and Online Learning for Contextual Stochastic Optimization - IPAM at UCLA
Presenter
- Paul Grigas
March 3, 2023
IPAM
Maxim Ziatdinov - Bits and Atoms: Exploring the Intersection of Machine Learning and Microscopy
Presenter
- Maxim Ziatdinov
January 27, 2023
IPAM
Osbert Bastani - Interpretable Machine Learning via Program Synthesis - IPAM at UCLA
Presenter
- Osbert Bastani
January 10, 2023
IPAM
Elizaveta Rebrova - Low-rank tensor recovery from memory-efficient measurements - IPAM at UCLA
Presenter
- Elizaveta Rebrova
December 1, 2022
IPAM
Anna Little - Unbiasing Procedures for Scale-invariant Multi-reference Alignment - IPAM at UCLA
Presenter
- Anna Little
November 28, 2022
IPAM
Yonina Eldar - Model Based Deep Learning with Application to Super Resolution - IPAM at UCLA
Presenter
- Yonina Eldar
October 27, 2022
IPAM
Jan Hermann - Neural-network wave functions for quantum chemistry
Presenter
- Jan Hermann
May 25, 2022
IPAM
Raymond Clay - Machine Learning in Equation of State and Transport Modeling at Extreme Conditions
Presenter
- Raymond Clay
May 24, 2022
IPAM
The Mysteries of Adversarial Robustness for Non-parametric Methods and Neural Networks
Presenter
- Kamalika Chaudhuri
April 16, 2021
IMSI
