Videos

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How do we build good databases for machine learning of force fields?

Presenter
  • Gábor Csányi
October 30, 2017
IPAM

Neural net word embeddings: What was old is new again

Presenter
  • Jeremy Bellay
October 6, 2017
IMA

Gaussian processes: A hands-on tutorial

Presenter
  • Paris Perdikaris
June 5, 2017
ICERM

Using Cover-Trees and Friends for Machine Learning with the CDER algorithm

Presenter
  • Abraham Smith
May 2, 2017
IMA
Collective Variables in Quantum Mechanics and Machine Learning Thumbnail

Collective Variables in Quantum Mechanics and Machine Learning

Presenter
  • Alexandre Tkatchenko
November 14, 2016
IPAM
Shape Analysis and Learning by Geometry and Machine (Overview - Part 2) Thumbnail

Shape Analysis and Learning by Geometry and Machine (Overview - Part 2)

Presenter
  • Ron Kimmel
February 8, 2016
IPAM
Shape Analysis and Learning by Geometry and Machine (Overview - Part 1) Thumbnail

Shape Analysis and Learning by Geometry and Machine (Overview - Part 1)

Presenter
  • Hong-Kai Zhao
February 8, 2016
IPAM
Asynchronous Parallel Computing in Signal Processing and Machine Learning Thumbnail

Asynchronous Parallel Computing in Signal Processing and Machine Learning

Presenter
  • Wotao Yin
January 25, 2016
IMA
Intelligent learning: similarity control and knowledge transfer Thumbnail

Intelligent learning: similarity control and knowledge transfer

Presenter
  • Vladimir Vapnik
March 30, 2015
IAS
A new equivariant infinite loop space machine Thumbnail

A new equivariant infinite loop space machine

Presenter
  • Anna Bohmann
January 23, 2014
SLMath
Statistical Learning and Bayesian Inference and Topology Thumbnail

Statistical Learning and Bayesian Inference and Topology

Presenter
  • Sayan Mukherjee
October 2, 2013
IMA
Network-based BMI: toward brain machine interface in real environments Thumbnail

Network-based BMI: toward brain machine interface in real environments

Presenter
  • Shin Ishii
March 7, 2013
IPAM