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Causality and machine learning for scientific discovery
Presenter
- Jelena Bradic
October 31, 2019
IPAM
The Denario project: Deep knowledge AI agents for scientific discovery
Presenter
- Francisco Villaescusa-Navarro
May 9, 2026
ICERM
A Method for Computing Inverse Parametric PDE Problems with Randomized Neural Networks
Presenter
- Suchuan Dong
June 9, 2023
ICERM
Evolving Spiking Neural Networks for Scientific Applications
Presenter
- Catherine Schuman
June 8, 2023
ICERM
Machine-Learned Finite Element Exterior Calculus for Linear and Nonlinear Problems
Presenter
- Jonas Actor
June 6, 2023
ICERM
Learning Reduced-Order Models for Cardiovascular Simulations using Graph Neural Networks
Presenter
- Luca Pegolotti
June 6, 2023
ICERM
Force-Conditioned Video Models as Physical World Models for Agents
Presenter
- Chen Sun
May 9, 2026
ICERM
Leveraging Multi-time Hamilton Jacobi PDEs for Certain Scientific Machine Learning Problems
Presenter
- Paula Chen
June 9, 2023
ICERM
Deep neural operators with reliable extrapolation for multiphysics, multiscale & multifidelity problems
Presenter
- Lu Lu
June 7, 2023
ICERM
Cell-average based neural network method for time dependent problems
Presenter
- Jue Yan
June 5, 2023
ICERM
Andrew Christlieb - An introduction to Scientific Machine Learning - IPAM at UCLA
Presenter
- Andrew Christlieb
March 13, 2026
IPAM