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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
Less Data, More Knowledge: Semantic Communication and Emergent Protocols for Reasoning-Driven Intelligent Systems
Presenter
- Walid Saad
May 9, 2026
ICERM
Haiwen Guan - LUCIE Lightweight Uncoupled Climate Emulator long-term stability, physical consistency
Presenter
- Haiwen Guan
February 6, 2026
IPAM
Maria Molina - Learning Without Labels: New Insights into Climate and Extremes - IPAM at UCLA
Presenter
- Maria Molina
February 4, 2026
IPAM
Katherine Breen - Foundation Models as New Backbone for Medium-range Forecasting & Data Assimilation
Presenter
- Katherine Breen
February 2, 2026
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