Videos

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Understanding Neural Network Expressivity via Polyhedral Geometry

Presenter
  • Christoph Hertrich
April 26, 2023
ICERM
Using Machine-Learning to Create Predictive Material Property Models Thumbnail

Using Machine-Learning to Create Predictive Material Property Models

Presenter
  • Chris Wolverton
September 26, 2016
IPAM
Physical constraints in machine learning models of electronic and atomic interactions Thumbnail

Physical constraints in machine learning models of electronic and atomic interactions

Presenter
  • Boris Kozinsky
March 26, 2024
IMSI
Cynthia Rush - Is It Easier to Count Communities Than Find Them? - IPAM at UCLA Thumbnail

Cynthia Rush - Is It Easier to Count Communities Than Find Them? - IPAM at UCLA

Presenter
  • Cynthia Rush
February 28, 2024
IPAM
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
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
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