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Interpretable machine learning for analysis and prediction of weather and climate extremes
Presenter
- Alex Cannon
March 3, 2025
IMSI
Elements of analysis of the nonlinear compressive reduced basis for the approximation of parameter dependant PDE's
Presenter
- Yvon Maday
January 8, 2025
ICERM
Operator Learning via an Auto-Encoder-Based Nonlinear Model Reduction and its Error Analysis
Presenter
- Rongjie Lai
January 6, 2025
ICERM
Santosh Manicka - How might multiscale collectives ‘collect’ across scales? - IPAM at UCLA
Presenter
- Santosh Manicka
November 21, 2024
IPAM
Erik Winfree - Equilibrium is inference: lessons from a model of liquid-liquid phase separation
Presenter
- Erik Winfree
November 7, 2024
IPAM
Sean Tull - Towards Compositional Interpretability for XAI - IPAM at UCLA
Presenter
- Sean Tull
November 6, 2024
IPAM
Levi Lelis - Learning Libraries of Programmatic Policies - IPAM at UCLA
Presenter
- Levi Lelis
November 4, 2024
IPAM
Misha Belkin - Emergence and grokking in "simple" architectures - IPAM at UCLA
Presenter
- Misha Belkin
October 18, 2024
IPAM
Fanny Yang - Surprising phenomena of max-lp-margin classifiers in high dimensions - IPAM at UCLA
Presenter
- Fanny Yang
October 17, 2024
IPAM
Wu Lin - A framework for designing (non-diagonal) adaptive training methods - IPAM at UCLA
Presenter
- Wu Lin
October 14, 2024
IPAM
Cynthia Flores - From Materials to Minds: Nonlocal Approaches to Damage and Degeneration
Presenter
- Cynthia Flores
September 26, 2024
IPAM