Workshop IV: Synergies between Machine Learning and Physical Models

Part of the Long Program Understanding Many-Particle Systems with Machine Learning
December 5 - 8, 2016

Schedule


Monday, December 5, 2016
9:00 - 9:50
Efthimios (Tim) Kaxiras (Harvard University)

Machine Learning for the Materials World

 
10:15 - 11:05
11:30 - 12:20
2:30 - 3:20
 
4:00 - 4:50

Tuesday, December 6, 2016
9:00 - 9:50
Alán Aspuru-Guzik (Harvard University)

Machine learning for organic materials design

10:15 - 11:05
11:30 - 12:20
2:30 - 3:20
4:00 - 4:50
Aram Harrow (Massachusetts Institute of Technology)

Quantum Monte Carlo vs Tunneling in Adiabatic Optimization
PDF Presentation

 

Wednesday, December 7, 2016
9:00 - 9:50
Matthew Spellings (University of Michigan)

Navigating colloidal design space with machine learning

 
10:15 - 11:05
Ioana Dumitriu (University of Washington)

Two Clustering Problems for the Stochastic Block Model
PDF Presentation

 
11:30 - 12:20
David Beratan (Duke University)

Molecular discovery in silico and in cranio

2:00 - 2:50
3:15 - 4:05
Rebecca Willett (University of Wisconsin-Madison)

Sparsity and Scarcity in Discrete Event Data Analysis
PDF Presentation

 
4:30 - 5:20

Thursday, December 8, 2016
9:00 - 9:50
10:15 - 11:05
11:30 - 12:20