Videos

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New directions in machine learning - Part I Thumbnail

New directions in machine learning - Part I

Presenter
  • Terry Lyons
May 15, 2015
IPAM
Finding density functionals with machine learning Thumbnail

Finding density functionals with machine learning

Presenter
  • Kieron Burke
February 23, 2015
IPAM

Introduction to Topological Data Analysis and Machine Learning

Presenter
  • John Harer
October 23, 2014
ICERM

Mathematics and Machine Learning in Cybersecurity

Presenter
  • Brian Witten
October 22, 2014
ICERM
Imaging and Machine Learning Thumbnail

Imaging and Machine Learning

Presenter
  • Eric Miller
September 24, 2013
IMA
Introduction to Machine Learning Thumbnail

Introduction to Machine Learning

Presenter
  • Felix Brockherde
September 13, 2013
IPAM
Hogwild for Machine Learning on Multicore Thumbnail

Hogwild for Machine Learning on Multicore

Presenter
  • Ben Recht
March 28, 2012
IMA

Automatic Selection of Compiler Optimizations Using Graph-Based Program Characterization

Presenter
  • John Cavazos
January 12, 2012
ICERM
Emerging Programming and Machine Models: Opportunities for Numerical Algorithms R&D Thumbnail

Emerging Programming and Machine Models: Opportunities for Numerical Algorithms R&D

Presenter
  • Michael Heroux
January 14, 2011
IMA
Non-commutative harmonic analysis in machine learning Thumbnail

Non-commutative harmonic analysis in machine learning

Presenter
  • Risi Kondor
December 15, 2008
SLMath
A Geometric perspective on machine Learning Thumbnail

A Geometric perspective on machine Learning

Presenter
  • Partha Niyogi
October 27, 2008
IMA
Roman Grigoriev - Bridging scales using physically-informed machine learning - IPAM at UCLA Thumbnail

Roman Grigoriev - Bridging scales using physically-informed machine learning - IPAM at UCLA

Presenter
  • Roman Grigoriev
October 10, 2025
IPAM