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Andrew Christlieb - An introduction to Scientific Machine Learning - IPAM at UCLA
Presenter
- Andrew Christlieb
March 13, 2026
IPAM
Jochen Garcke - Introduction to Machine Learning for Science and Engineering - IPAM at UCLA
Presenter
- Jochen Garcke
March 12, 2026
IPAM
Optimal experimental design for inverse problems via column subset selection
Presenter
- Arvind Krishna Saibaba
March 6, 2026
ICERM
Almost nearly perfect Bayesian inversion with physics-informed deep generative models: Applications to computational imaging
Presenter
- Marcelo Pereyra
March 2, 2026
ICERM
Charles Epstein - The Kimura Diffusion Equation in Population Genetics, Theory and Numerics
Presenter
- Charles Epstein
February 24, 2026
IPAM
Marcus van Lier Walqui - Clouds in weather and climate models: deterministic & stochastic approaches
Presenter
- Marcus van Lier-Walqui
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
Michael Ghil - Global warming & global weirding: Nonautonomous dynamics for chaotic & noisy systems
Presenter
- Michael Ghil
February 2, 2026
IPAM
Tom Alberts - Spectral Properties of Random Cluster Models and Applications to Composite Materials
Presenter
- Tom Alberts
January 29, 2026
IPAM
On a novel exact representation of species sampling processes
Presenter
- Ramses Mena
January 14, 2026
ICERM
Andras Gilyen - Quantum generalizations of Glauber and Metropolis dynamics - IPAM at UCLA
Presenter
- Andras Gilyen
January 12, 2026
IPAM