Videos

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Derandomization and its connections throughout complexity theory Thumbnail

Derandomization and its connections throughout complexity theory

Presenter
  • Roei Tell
February 15, 2022
IAS
Building Manifolds from Error Correcting Codes Thumbnail

Building Manifolds from Error Correcting Codes

Presenter
  • Matthew Hastings
September 2, 2021
IPAM
The saddle connection complex Thumbnail

The saddle connection complex

Presenter
  • Anja Randecker
November 18, 2019
SLMath
On the Connection between Neural Networks and Kernels: a Modern Perspective Thumbnail

On the Connection between Neural Networks and Kernels: a Modern Perspective

Presenter
  • Simon Du
October 16, 2019
IAS
On the Connection between Neural Networks and Kernels: a Modern Perspective Thumbnail

On the Connection between Neural Networks and Kernels: a Modern Perspective

Presenter
  • Simon Du
October 1, 2019
IAS

Testing and correcting distributions over big domains

Presenter
  • Ronitt Rubinfeld
April 30, 2019
ICERM
Asymptotics of Poisson-Nernst-Planck equations and application to the voltage distributions in cellular micro-domains Thumbnail

Asymptotics of Poisson-Nernst-Planck equations and application to the voltage distributions in cellular micro-domains

Presenter
  • Jerome Cartailler
March 14, 2018
IMA
Locally Repairable Codes, Storage Capacity and Index Coding Thumbnail

Locally Repairable Codes, Storage Capacity and Index Coding

Presenter
  • Arya Mazumdar
February 5, 2018
IAS
On the convex Poincaré inequality and weak transportation inequalities Thumbnail

On the convex Poincaré inequality and weak transportation inequalities

Presenter
  • Radoslaw Adamczak
November 17, 2017
SLMath
Thin monodromy and Lyapunov exponents, via Hodge theory Thumbnail

Thin monodromy and Lyapunov exponents, via Hodge theory

Presenter
  • Simion Filip
November 15, 2017
IAS
Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity II Thumbnail

Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity II

Presenter
  • Russell Impagliazzo
November 14, 2017
IAS
Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity I Thumbnail

Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity I

Presenter
  • Russell Impagliazzo
November 13, 2017
IAS