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Dimitris Giannakis - Operator-theoretic approach, feature extraction & statistical model of climate
Presenter
- Dimitris Giannakis
February 3, 2026
IPAM
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
A Neural Network Approach to Learning Steady States and Their Stability of Parametric Dynamical Systems
Presenter
- Xiaochuan Tian
January 9, 2025
ICERM
Leveraging Multi-time Hamilton Jacobi PDEs for Certain Scientific Machine Learning Problems
Presenter
- Paula Chen
June 9, 2023
ICERM
Plenary Talk: Mathematics in Data Science: Advancing Scientific Discovery
Presenter
- Rebecca Willett
June 8, 2023
IMSI
Leveraging Data Science and Machine Learning for Optimal Global Health Outcomes
Presenter
- Joan LaRovere
May 17, 2023
IMSI
Ellen Zhoung - Machine learning for determining protein structure and dynamics from cryo-EM images
Presenter
- Ellen Zhong
November 14, 2022
IPAM