Videos

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High-Performance Communication for Machine Learning Thumbnail

High-Performance Communication for Machine Learning

Presenter
  • Torsten Hoefler
November 5, 2018
IPAM
Efficient Tensor Representation for Deep Learning with TensorLy and PyTorch Thumbnail

Efficient Tensor Representation for Deep Learning with TensorLy and PyTorch

Presenter
  • Jean Kossaifi
May 19, 2021
IPAM
Two Distributed Optimization Algorithms for Machine Learning Thumbnail

Two Distributed Optimization Algorithms for Machine Learning

Presenter
  • Yingyu Liang
February 25, 2015
IMA

Methodological Aspects of Predictive Data Analytics and VC-theory

Presenter
  • Vladimir Cherkassky
February 2, 2016
IMA
Learning nonlocal neural operators for material modeling Thumbnail

Learning nonlocal neural operators for material modeling

Presenter
  • Yue Yu
May 14, 2024
IMSI
Bayesian and Equivariant Force Fields for the Description of Metals in their Bulk, Surface, and Nano-Scale Forms Thumbnail

Bayesian and Equivariant Force Fields for the Description of Metals in their Bulk, Surface, and Nano-Scale Forms

Presenter
  • Cameron Owen
April 10, 2024
IMSI
Steps towards more human-like learning in machines Thumbnail

Steps towards more human-like learning in machines

Presenter
  • Josh Tenenbaum
April 16, 2020
IAS
Accelerated materials innovation using AI/ML and Digital Twins Thumbnail

Accelerated materials innovation using AI/ML and Digital Twins

Presenter
  • Surya Kalidindi
April 24, 2025
IMSI
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
Coordinates, governing equations and limits of model discovery Thumbnail

Coordinates, governing equations and limits of model discovery

Presenter
  • J. Nathan Kutz
October 16, 2019
IPAM
David Bortz - Weak form SciML for Learning Models on Different Scales - IPAM at UCLA Thumbnail

David Bortz - Weak form SciML for Learning Models on Different Scales - IPAM at UCLA

Presenter
  • David Bortz
October 7, 2025
IPAM
Locating Outliers in Large Matrices with Adaptive Compressive Sampling Thumbnail

Locating Outliers in Large Matrices with Adaptive Compressive Sampling

Presenter
  • Jarvis Haupt
December 8, 2015
IMA