Videos

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Dissipative Anomaly Thumbnail

Dissipative Anomaly

Presenter
  • Katepalli Sreenivasan
January 9, 2017
IPAM
The h-principle for the Euler equations Thumbnail

The h-principle for the Euler equations

Presenter
  • László Székelyhidi
January 9, 2017
IPAM
Utilizing machine learning to accelerate computational catalyst search Thumbnail

Utilizing machine learning to accelerate computational catalyst search

Presenter
  • Thomas Bliggard
December 8, 2016
IPAM
TensorMol 0.0 a Package for Statistical Models of Molecular Structure Thumbnail

TensorMol 0.0 a Package for Statistical Models of Molecular Structure

Presenter
  • John Parkhill
December 8, 2016
IPAM
Sparsity and Scarcity in Discrete Event Data Analysis Thumbnail

Sparsity and Scarcity in Discrete Event Data Analysis

Presenter
  • Rebecca Willett
December 7, 2016
IPAM
Two Clustering Problems for the Stochastic Block Model Thumbnail

Two Clustering Problems for the Stochastic Block Model

Presenter
  • Ioana Dumitriu
December 7, 2016
IPAM
Navigating colloidal design space with machine learning Thumbnail

Navigating colloidal design space with machine learning

Presenter
  • Matthew Spellings
December 7, 2016
IPAM
Quantum Monte Carlo vs Tunneling in Adiabatic Optimization Thumbnail

Quantum Monte Carlo vs Tunneling in Adiabatic Optimization

Presenter
  • Aram Harrow
December 6, 2016
IPAM
Learning from Conjugated Polymers: Statistical Data Mining from 50 Million and Counting Thumbnail

Learning from Conjugated Polymers: Statistical Data Mining from 50 Million and Counting

Presenter
  • Geoffrey Hutchison
December 6, 2016
IPAM
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