Videos

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Boris Kramer - Structure-preserving Lift & Learn: Scientific machine learning for nonlinear conservative partial differential equations

April 17, 2026
IPAM

Ammar Hakim - BEACONS and BEACONS-FM: Lighting a Path to Modular, Composable, Formally Verified Fusion Foundation Models

April 17, 2026
IPAM

Path-OED: optimal path design for mobile sensors

Presenter
  • Alen Alexanderian
April 16, 2026
ICERM

Karen Willcox - Multifidelity Proper Orthogonal Decomposition

April 16, 2026
IPAM

Uncertainty in Uncertainty and Rockafellian Relaxation

Presenter
  • Sean Carney
April 15, 2026
ICERM

Jingmei Qiu - Sampling-Based Adaptive Rank Integrators for Multi-scale Kinetic Models

April 14, 2026
IPAM

Optimality conditions for a maximum probability problem in optimal control

Presenter
  • Caroline Geiersbach
April 13, 2026
ICERM

The latent variable proximal point algorithm for variational problems with inequality constraints

Presenter
  • Patrick Farrell
April 13, 2026
ICERM
Maximilian Ruth - A Statistical Magnetohydrodynamic Equilibrium Model - IPAM at UCLA Thumbnail

Maximilian Ruth - A Statistical Magnetohydrodynamic Equilibrium Model - IPAM at UCLA

Presenter
  • Maximilian Ruth
March 25, 2026
IPAM
Andrew Christlieb - An introduction to Scientific Machine Learning - IPAM at UCLA Thumbnail

Andrew Christlieb - An introduction to Scientific Machine Learning - IPAM at UCLA

Presenter
  • Andrew Christlieb
March 13, 2026
IPAM
Introduction to Reinforcement Learning Methods for Mean Field Control and Mean Field Games Thumbnail

Introduction to Reinforcement Learning Methods for Mean Field Control and Mean Field Games

Presenter
  • Mathieu Lauriere
March 13, 2026
IMSI
Jochen Garcke - Introduction to Machine Learning for Science and Engineering - IPAM at UCLA Thumbnail

Jochen Garcke - Introduction to Machine Learning for Science and Engineering - IPAM at UCLA

Presenter
  • Jochen Garcke
March 12, 2026
IPAM