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Safe and Efficient Exploration in Reinforcement Learning
Presenter
- Andreas Krause
February 26, 2020
IPAM
Quantum annealing and machine learning - new directions of quantum
Presenter
- Masayuki Ohzeki
November 19, 2019
IPAM
Machine learning for atomic and molecular simulations
Presenter
- Michele Ceriotti
November 18, 2019
IPAM
Learning dynamical laws from data in classical and quantum settings
Presenter
- Jens Eisert
October 29, 2019
IPAM
Machine-learning for materials and physics discovery through symbolic regression and kernel methods
Presenter
- Richard Hennig
September 26, 2019
IPAM
Intelligent learning: similarity control and knowledge transfer
Presenter
- Vladimir Vapnik
March 30, 2015
IAS
Building a Gaussian Process Statistical and Quantitative Learning Framework for Scientific Applications
Presenter
- Xiaoye Li
September 13, 2025
ICERM
A Neural Network Approach to Learning Steady States and Their Stability of Parametric Dynamical Systems
Presenter
- Xiaochuan Tian
January 9, 2025
ICERM
Yihui Quek - Signal and noise: learning with random quantum circuits and other agents of chaos
Presenter
- Yihui Quek
October 16, 2023
IPAM
Paul Grigas - Offline and Online Learning for Contextual Stochastic Optimization - IPAM at UCLA
Presenter
- Paul Grigas
March 3, 2023
IPAM
Ellen Zhoung - Machine learning for determining protein structure and dynamics from cryo-EM images
Presenter
- Ellen Zhong
November 14, 2022
IPAM