Videos

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Why Deep Learning Works: Heavy-Tailed Random Matrix Theory as an Example of Physics Informed Machine Learning Thumbnail

Why Deep Learning Works: Heavy-Tailed Random Matrix Theory as an Example of Physics Informed Machine Learning

Presenter
  • Michael Mahoney
October 14, 2019
IPAM
Physics-Informed (and -informative) Generative Modelling in Astronomy Thumbnail

Physics-Informed (and -informative) Generative Modelling in Astronomy

Presenter
  • Joshua Bloom
September 23, 2019
IPAM
From classical statistics to modern machine learning Thumbnail

From classical statistics to modern machine learning

Presenter
  • Mikhail Belkin
May 23, 2019
IPAM
Deep Spatial Learning for Forensic Geolocation with Microbiome Data Thumbnail

Deep Spatial Learning for Forensic Geolocation with Microbiome Data

Presenter
  • Brian Reich
April 25, 2018
IMA
Public Lecture: Deep Learning and the Future of Artificial Intelligence Thumbnail

Public Lecture: Deep Learning and the Future of Artificial Intelligence

Presenter
  • Yann LeCun
February 5, 2018
IPAM
New directions in machine learning - Part II Thumbnail

New directions in machine learning - Part II

Presenter
  • Terry Lyons
May 15, 2015
IPAM
New directions in machine learning - Part I Thumbnail

New directions in machine learning - Part I

Presenter
  • Terry Lyons
May 15, 2015
IPAM
Learning Acid/Base Strength Thumbnail

Learning Acid/Base Strength

Presenter
  • Paul Ayers
February 27, 2015
IPAM
Properties of Atoms in Molecules via Machine Learning Thumbnail

Properties of Atoms in Molecules via Machine Learning

Presenter
  • Matthias Rupp
February 25, 2015
IPAM
Finding density functionals with machine learning Thumbnail

Finding density functionals with machine learning

Presenter
  • Kieron Burke
February 23, 2015
IPAM
A Geometric perspective on machine Learning Thumbnail

A Geometric perspective on machine Learning

Presenter
  • Partha Niyogi
October 27, 2008
IMA
Andrew Christlieb - An introduction to Scientific Machine Learning - IPAM at UCLA Thumbnail

Andrew Christlieb - An introduction to Scientific Machine Learning - IPAM at UCLA

Presenter
  • Andrew Christlieb
March 13, 2026
IPAM