Videos

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Generalization Theory in Machine Learning Thumbnail

Generalization Theory in Machine Learning

Presenter
  • Adam Oberman
March 10, 2020
IPAM
Higher Teichmüller spaces and Anosov representations Thumbnail

Higher Teichmüller spaces and Anosov representations

Presenter
  • Anna Wienhard
November 21, 2019
SLMath
Geometric Recursion Thumbnail

Geometric Recursion

Presenter
  • Jorgen Ellegaard Andersen
November 18, 2019
SLMath
A consistent algorithmic framework for structured machine learning Thumbnail

A consistent algorithmic framework for structured machine learning

Presenter
  • Lorenzo Rosasco
April 29, 2019
IPAM
Learning invariants and representation spaces of shapes Thumbnail

Learning invariants and representation spaces of shapes

Presenter
  • Ron Kimmel
April 3, 2019
IPAM
Normalized harmonic map flow Thumbnail

Normalized harmonic map flow

Presenter
  • Michael Struwe
March 6, 2019
IAS
Liouville Equations and Functional Determinants Thumbnail

Liouville Equations and Functional Determinants

Presenter
  • Andrea Malchiodi
March 5, 2019
IAS
Analyticity results for the Navier-Stokes Equations Thumbnail

Analyticity results for the Navier-Stokes Equations

Presenter
  • Guher Camliyurt
January 31, 2019
IAS
Learning Over-Parameterized Neural Networks on Structured Data Thumbnail

Learning Over-Parameterized Neural Networks on Structured Data

Presenter
  • Yingyu Liang
November 27, 2018
IPAM