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Adam Rupe - A complex systems perspective on machine learning for Earth science - IPAM at UCLA
Presenter
- Adam Rupe
February 3, 2026
IPAM
Katherine Breen - Foundation Models as New Backbone for Medium-range Forecasting & Data Assimilation
Presenter
- Katherine Breen
February 2, 2026
IPAM
Tom Beucler - Artificial Intelligence Pathways from Weather to Climate - IPAM at UCLA
Presenter
- Tom Beucler
February 2, 2026
IPAM
Michael Ghil - Global warming & global weirding: Nonautonomous dynamics for chaotic & noisy systems
Presenter
- Michael Ghil
February 2, 2026
IPAM
Johan Mathé - Earth System Symmetries: Geometry, Groups, & Limits of Structure in Machine Learning
Presenter
- Johan Mathé
February 2, 2026
IPAM
Noah Brenowitz - Does progress in Earth System Modeling require more data, more compute, or both?
Presenter
- Noah Brenowitz
February 2, 2026
IPAM
Learning surrogate models and data assimilation processes for advanced geophysical dynamics forecasting
Presenter
- Marc Bocquet
October 6, 2025
IMSI
Interpretable machine learning for analysis and prediction of weather and climate extremes
Presenter
- Alex Cannon
March 3, 2025
IMSI
Learning Collective Variables and Kernels from Observations
Presenter
- Ming Zhong
April 26, 2024
IMSI
Learning reaction coordinates and finding optimal model parameters from sampled trajectory ensembles
Presenter
- Peter Bolhuis
April 24, 2024
IMSI
Leveraging Multi-time Hamilton Jacobi PDEs for Certain Scientific Machine Learning Problems
Presenter
- Paula Chen
June 9, 2023
ICERM
Integrating the spectral analysis of neural networks and nonlinear physics for explainability, generalizability, and stability
Presenter
- Pedram Hassanzadeh
November 4, 2022
IMSI