Videos

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Computational Statistics Meets Materials Science: Advances in UQ, OED, and SciML Thumbnail

Computational Statistics Meets Materials Science: Advances in UQ, OED, and SciML

Presenter
  • Anh Tran
April 22, 2025
IMSI
Machine Learning in Materials Science: Recent Progress and Critical Next Steps Thumbnail

Machine Learning in Materials Science: Recent Progress and Critical Next Steps

Presenter
  • Rampi Ramprasad
September 26, 2016
IPAM
Christoph Ortner - Atomic Cluster Expansion with and Without Atoms - IPAM at UCLA Thumbnail

Christoph Ortner - Atomic Cluster Expansion with and Without Atoms - IPAM at UCLA

Presenter
  • Christoph Ortner
April 19, 2023
IPAM
Subspace Arrangements in Theory and Practice Thumbnail

Subspace Arrangements in Theory and Practice

Presenter
  • Robert Fossum
March 9, 2007
IMA
Multiscale and Data-driven Methods for the Simulation of Materials Failure Thumbnail

Multiscale and Data-driven Methods for the Simulation of Materials Failure

Presenter
  • James Kermode
April 11, 2024
IMSI

Multivariate species sampling processes

Presenter
  • Antonio Lijoi
January 15, 2026
ICERM

Topological Deep Learning of Biosciences

Presenter
  • Guo Wei Wei
July 30, 2025
ICERM
Generative and variational modeling for quantum many-body physics Thumbnail

Generative and variational modeling for quantum many-body physics

Presenter
  • Giuseppe Carleo
September 27, 2019
IPAM
Lars Ruthotto - Mixed-Precision Algorithms for Training Neural ODEs - IPAM at UCLA Thumbnail

Lars Ruthotto - Mixed-Precision Algorithms for Training Neural ODEs - IPAM at UCLA

Presenter
  • Lars Ruthotto
July 14, 2025
IPAM
Beyond Gradient Descent: Realizing the Power of Higher Order Solvers on Scalable Platforms Thumbnail

Beyond Gradient Descent: Realizing the Power of Higher Order Solvers on Scalable Platforms

Presenter
  • Ananth Grama
November 7, 2018
IPAM
The Convergence of Big Data and Extreme Simulation Thumbnail

The Convergence of Big Data and Extreme Simulation

Presenter
  • David Keyes
September 24, 2018
IPAM
Towards prediction uncertainty for computational physics-based models, agent-based models, and machine learning models Thumbnail

Towards prediction uncertainty for computational physics-based models, agent-based models, and machine learning models

Presenter
  • Dave Higdon
May 19, 2025
IMSI