Videos

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Karen Willcox - Green Family Lecture #2: Learning Structure-exploiting Reduced Models with Operator Inference (at UCLA Royce Hall)

April 15, 2026
IPAM

Jiequn Han - Learning Evolution Operators Across PDE Systems: Meta-Learning and Test-Time Generalization

April 15, 2026
IPAM

Qin Li - Stabilizing plasma instabilities cast as PDE-constrained optimization

April 15, 2026
IPAM

Peter Benner - Discovery and Model Reduction of Hamiltonian Systems

April 15, 2026
IPAM

Karen Willcox - Green Family Lecture #1: The Important Role of Mathematics in the Digital Twin Revolution (at UCLA CNSI Auditorium)

April 14, 2026
IPAM

Li Wang - Suppressing Plasma Instability Through Constrained Optimization

April 14, 2026
IPAM

Steve Cowley - Multi-scale Plasma Turbulence — the key to fusion power

April 13, 2026
IPAM
Lance Dixon - AI for Theory Data - IPAM at UCLA Thumbnail

Lance Dixon - AI for Theory Data - IPAM at UCLA

Presenter
  • Lance Dixon
March 4, 2026
IPAM
Feature Selection for Machine Learning with Unstructured Data: Applications in Healthcare Thumbnail

Feature Selection for Machine Learning with Unstructured Data: Applications in Healthcare

Presenter
  • Kimberly Villalobos
February 5, 2026
IMSI

Recent Trends in Stochastic Partial Differential Equations: Recent developments on random data theory for dispersive PDEs

Presenter
  • Yu Deng
November 20, 2025
SLMath
Training distribution optimization in the space of probability measures Thumbnail

Training distribution optimization in the space of probability measures

Presenter
  • Nicholas Nelsen
October 9, 2025
IMSI
Conditional neural Whitney forms for structure preserving data-driven modeling Thumbnail

Conditional neural Whitney forms for structure preserving data-driven modeling

Presenter
  • Nat Trask
September 5, 2025
IMSI