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GFlowNets to accelerate scientific discovery with machine learning
Presenter
- Alex Hernandez-Garcia
June 6, 2023
ICERM
Learning Reduced-Order Models for Cardiovascular Simulations using Graph Neural Networks
Presenter
- Luca Pegolotti
June 6, 2023
ICERM
Cell-average based neural network method for time dependent problems
Presenter
- Jue Yan
June 5, 2023
ICERM
Neural architecture search for scientific machine learning
Presenter
- Romit Maulik
June 5, 2023
ICERM
Leveraging Data Science and Machine Learning for Optimal Global Health Outcomes
Presenter
- Joan LaRovere
May 17, 2023
IMSI
Michele Ceriotti - Machine learning for atomic-scale modeling - potentials and beyond - IPAM at UCLA
Presenter
- Michele Ceriotti
May 3, 2023
IPAM
Using Trained Machine Learning Predictors in Gurobi
Presenter
- Tobias Achterberg
April 27, 2023
ICERM
Root Number Correlation Bias of Fourier Coefficients of Modular Forms
Presenter
- Nina Zubrilina
April 20, 2023
IAS
Gabor Csányi - Machine learning potentials: from polynomials to message passing networks
Presenter
- Gabor Csányi
April 17, 2023
IPAM
Boris Kozinsky - Uncertainty-aware machine learning models of many-body atomic interactions
Presenter
- Boris Kozinsky
April 17, 2023
IPAM