Videos

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Computational methods for nonlocal mean field games with applications Thumbnail

Computational methods for nonlocal mean field games with applications

Presenter
  • Levon Nurbekyan
May 7, 2020
IPAM
Boltzmann Trees: a physically inspired randomization for robust modeling of physical data Thumbnail

Boltzmann Trees: a physically inspired randomization for robust modeling of physical data

Presenter
  • Maxwell Hutchinson
November 20, 2019
IPAM
Trainability and accuracy of artificial neural networks Thumbnail

Trainability and accuracy of artificial neural networks

Presenter
  • Eric Vanden-Eijnden
November 18, 2019
IPAM
Some New Insights On Transfer Learning Thumbnail

Some New Insights On Transfer Learning

Presenter
  • Samory Kpotufe
October 30, 2019
IPAM
Deep Learning Dive into the Scanning Transmission Electron Microscopy: Materials Design, Learning Physics, and Atomic Manipulation Thumbnail

Deep Learning Dive into the Scanning Transmission Electron Microscopy: Materials Design, Learning Physics, and Atomic Manipulation

Presenter
  • Sergei Kalinin
October 17, 2019
IPAM
Molecular design blueprints: materials and catalysts from new simulation and machine learning tools Thumbnail

Molecular design blueprints: materials and catalysts from new simulation and machine learning tools

Presenter
  • Heather Kulik
October 15, 2019
IPAM
PCS workflow, interpretable machine learning, and DeepTune Thumbnail

PCS workflow, interpretable machine learning, and DeepTune

Presenter
  • Bin Yu
May 2, 2019
IPAM
Learning interactions from microscopic observables Thumbnail

Learning interactions from microscopic observables

Presenter
  • Albert Bartók-Pártay
November 1, 2017
IPAM
Numerical Approximation Algorithms for Big Data Thumbnail

Numerical Approximation Algorithms for Big Data

Presenter
  • Dongbin Xiu
May 24, 2017
IPAM
Dictionary Design for Graph Signal Processing Thumbnail

Dictionary Design for Graph Signal Processing

Presenter
  • David Shuman
February 7, 2017
IMA
Predicting Properties and Electronic Structure of Inorganic Materials with Machine Learning Thumbnail

Predicting Properties and Electronic Structure of Inorganic Materials with Machine Learning

Presenter
  • Olexandr Isayev
November 15, 2016
IPAM
ASTRO Fall Course: Data Science Meets Astronomy: Galaxy Separation with Machine Learning Thumbnail

ASTRO Fall Course: Data Science Meets Astronomy: Galaxy Separation with Machine Learning

October 12, 2016
SAMSI