Videos

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Statistical Learning Theory for Modern Machine Learning Thumbnail

Statistical Learning Theory for Modern Machine Learning

Presenter
  • John Shawe-Taylor
August 11, 2020
IAS
Parameter uncertainty quantification using surrogate models applied to a spatial model of yeast mating polarization Thumbnail

Parameter uncertainty quantification using surrogate models applied to a spatial model of yeast mating polarization

Presenter
  • Ching-Shan Chou
May 29, 2018
IMA
On equivariant cohomology of Calogero-Moser spaces Thumbnail

On equivariant cohomology of Calogero-Moser spaces

Presenter
  • Peng Shan
April 13, 2018
SLMath

Asymmetric dispersal in two-patch model with Allee effect

Presenter
  • Leah Shaw
March 26, 2018
MBI
Categorifications and Rational Cherednik Algebras Thumbnail

Categorifications and Rational Cherednik Algebras

Presenter
  • Peng Shan
April 11, 2013
SLMath

Efficient computations of sl(3)-s-invariants for knots and links

Presenter
  • Dirk Schuetz
May 14, 2025
ICERM
On training deep neural networks for image restoration Thumbnail

On training deep neural networks for image restoration

Presenter
  • Se Young
August 6, 2024
IMSI

A topological model for the HOMFLY-PT polynomial

Presenter
  • Christine Ruey Shan Lee
July 16, 2024
ICERM

When big networks are not enough: physics, multifidelity and kernels

Presenter
  • Panos Stinis
March 24, 2024
ICERM

On the Connection between Deep Neural Networks and Kernel Methods

Presenter
  • Ronen Basri
June 28, 2023
ICERM

Stable Khovanov homology of torus links and volume

Presenter
  • Christine Ruey Shan Lee
May 25, 2023
ICERM
Toplogies of the zero sets of random real projective hyper-surfaces and of monochromatic waves Thumbnail

Toplogies of the zero sets of random real projective hyper-surfaces and of monochromatic waves

Presenter
  • Peter Sarnak
April 8, 2018
IAS