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Machine Learning for discrete optimization: Graph Neural Networks, generalization under shifts, and loss functions
Presenter
- Stefanie Jegelka
April 26, 2023
ICERM
Machine learning for actionable, interpretable marker selection in -omics studies
Presenter
- Bianca Dumitrascu
September 3, 2021
IMSI
Machine Learning for Robotics: Achieving Safety, Performance and Reliability by Combining Models and Data in a Closed-Loop System Architecture
Presenter
- Angela Schoellig
February 28, 2020
IPAM
Machine learning for atomic and molecular simulations
Presenter
- Michele Ceriotti
November 18, 2019
IPAM
Machine learning for molecular simulations: priors and predictive constraints
Presenter
- Tristan Bereau
October 18, 2019
IPAM
Machine-learning for materials and physics discovery through symbolic regression and kernel methods
Presenter
- Richard Hennig
September 26, 2019
IPAM
