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Leveraging Multi-time Hamilton Jacobi PDEs for Certain Scientific Machine Learning Problems
Presenter
- Paula Chen
June 9, 2023
ICERM
Deep neural operators with reliable extrapolation for multiphysics, multiscale & multifidelity problems
Presenter
- Lu Lu
June 7, 2023
ICERM
Cell-average based neural network method for time dependent problems
Presenter
- Jue Yan
June 5, 2023
ICERM
Verification and Validation for Trustworthy Scientific Machine Learning
Presenter
- Lorena A.
March 4, 2025
IMSI
Explainable AI (XAI) for Climate Science: Detection, Prediction and Discovery
Presenter
- Elizabeth Barnes
October 31, 2022
IMSI
Machine learning for molecular simulations: priors and predictive constraints
Presenter
- Tristan Bereau
October 18, 2019
IPAM
Machine Learning for Materials Discovery: Low-LTC Compounds, Grain Boundaries, Superlattices and RNAs
Presenter
- Koji Tsuda
September 30, 2016
IPAM
Advances in Probabilistic Generative Modeling for Scientific Machine Learning
Presenter
- Fei Sha
June 11, 2025
IMSI
Systematically Generating Hierarchies of Machine-Learning Models, from Equation Discovery to Deep Neural Networks
Presenter
- Tom Beucler
November 4, 2022
IMSI
Artificial intelligence with uncertainty quantification can plug gaps in climate science and inform multi sector resilience
Presenter
- Auroop Ganguly
October 31, 2022
IMSI