Videos

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Rama Vasudevan - Advancing Microscopy with Machine Learning: Lessons from Scanning Probe Microscopy Thumbnail

Rama Vasudevan - Advancing Microscopy with Machine Learning: Lessons from Scanning Probe Microscopy

Presenter
  • Rama Vasudevan
November 29, 2022
IPAM
Computational Graph Completion Thumbnail

Computational Graph Completion

Presenter
  • Houman Owhadi
September 1, 2022
IMSI

Hierarchical Bayesian Inference with Transformers: Approximation Theory and Learned Representations

Presenter
  • Sergio Bacallado
January 16, 2026
ICERM
Juliane Mueller - Adaptive Computing and multi-fidelity learning - IPAM at UCLA Thumbnail

Juliane Mueller - Adaptive Computing and multi-fidelity learning - IPAM at UCLA

Presenter
  • Juliane Mueller
May 4, 2023
IPAM
Maxim Ziatdinov - From Human-Centric to AI-Driven Experimentation Workflows for Materials Thumbnail

Maxim Ziatdinov - From Human-Centric to AI-Driven Experimentation Workflows for Materials

Presenter
  • Maxim Ziatdinov
May 2, 2023
IPAM
Aidan Thompson - LAMMPS simulation: physics models, machine-learning potentials, exascale computing Thumbnail

Aidan Thompson - LAMMPS simulation: physics models, machine-learning potentials, exascale computing

Presenter
  • Aidan Thompson
March 27, 2023
IPAM
Ben Zhu - A multi-fidelity approach in boundary plasma modeling - IPAM at UCLA Thumbnail

Ben Zhu - A multi-fidelity approach in boundary plasma modeling - IPAM at UCLA

Presenter
  • Ben Zhu
March 24, 2026
IPAM
Moo K. Chung - Tutorial: Topological Data Analysis on Dynamic Brain Networks - IPAM at UCLA Thumbnail

Moo K. Chung - Tutorial: Topological Data Analysis on Dynamic Brain Networks - IPAM at UCLA

Presenter
  • Moo Chung
February 12, 2024
IPAM
Wei Zhu - Structure-preserving machine learning and data-driven structure discovery - IPAM at UCLA Thumbnail

Wei Zhu - Structure-preserving machine learning and data-driven structure discovery - IPAM at UCLA

Presenter
  • Wei Zhu
July 18, 2025
IPAM
Optimization Program: Workshop on the Interface of Statistics and Optimization (WISO); Jianqing Fan-WISO, Sparse Learning and Distributed PCA with Control of Statistical Errors and Computing Resources Thumbnail

Optimization Program: Workshop on the Interface of Statistics and Optimization (WISO); Jianqing Fan-WISO, Sparse Learning and Distributed PCA with Control of Statistical Errors and Computing Resources

February 9, 2017
SAMSI
Michael Scherbela - High accuracy wavefunctions using deep-learning-based variational Monte Carlo Thumbnail

Michael Scherbela - High accuracy wavefunctions using deep-learning-based variational Monte Carlo

Presenter
  • Michael Scherbela
May 27, 2022
IPAM
Sampling Complex Energy Landscapes in Material Science Using Data-Driven Force Fields Thumbnail

Sampling Complex Energy Landscapes in Material Science Using Data-Driven Force Fields

Presenter
  • Cosmin Marinica
April 12, 2024
IMSI