Videos

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Geometric manifold learning methods and collective variables Thumbnail

Geometric manifold learning methods and collective variables

Presenter
  • Marina Meila
December 5, 2016
IPAM
Markov chains on partitions and their diffusion analogs Thumbnail

Markov chains on partitions and their diffusion analogs

Presenter
  • Soumik Pal
December 5, 2016
IPAM
Learning dynamics with dynamical distances: From diffusion maps to commute maps and coherence Thumbnail

Learning dynamics with dynamical distances: From diffusion maps to commute maps and coherence

Presenter
  • Ralf Banisch
December 5, 2016
IPAM
Using random walks to analyze Prediction with Expert Advice Thumbnail

Using random walks to analyze Prediction with Expert Advice

Presenter
  • Yuval Peres
December 5, 2016
IPAM
Machine Learning for the Materials World Thumbnail

Machine Learning for the Materials World

Presenter
  • Efthimios (Tim) Kaxiras
December 5, 2016
IPAM
Explaining and Understanding Non-linear Classifier Decisions with Application to Deep Learning Thumbnail

Explaining and Understanding Non-linear Classifier Decisions with Application to Deep Learning

Presenter
  • Klaus-Robert Müller
November 18, 2016
IPAM
Ensemble-Average Representation of Pt clusters in Conditions of Catalysis, accessed through GPU Accelerated Deep Neural Network Fitting Global Optimization Thumbnail

Ensemble-Average Representation of Pt clusters in Conditions of Catalysis, accessed through GPU Accelerated Deep Neural Network Fitting Global Optimization

Presenter
  • Anastassia Alexandrova
November 18, 2016
IPAM
The density-to-pair-density map in density functional theory Thumbnail

The density-to-pair-density map in density functional theory

Presenter
  • Gero Friesecke
November 18, 2016
IPAM
Virtual Screening for High Carrier Mobility in Organic Semiconductors Thumbnail

Virtual Screening for High Carrier Mobility in Organic Semiconductors

Presenter
  • Harald Oberhofer
November 17, 2016
IPAM
Density functional perturbation theory for large systems Thumbnail

Density functional perturbation theory for large systems

Presenter
  • Lin Lin
November 16, 2016
IPAM
Reducing complexity by implicit solvation models. Thumbnail

Reducing complexity by implicit solvation models.

Presenter
  • Benjamin Stamm
November 16, 2016
IPAM
Grain Boundary Physics, Machine Learning, and the "SOAP" Formalism Thumbnail

Grain Boundary Physics, Machine Learning, and the "SOAP" Formalism

Presenter
  • Gus Hart
November 16, 2016
IPAM