Videos

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Gröbner basis structure and decomposition of polynomial systems Thumbnail

Gröbner basis structure and decomposition of polynomial systems

Presenter
  • Shuhong Gao
September 21, 2006
IMA
Rounding Large Independent Sets on Expanders Thumbnail

Rounding Large Independent Sets on Expanders

Presenter
  • Tim Hsieh
May 6, 2024
IAS
Anurag Anshu - Circuit-to-Hamiltonian from tensor networks and fault tolerance - IPAM at UCLA Thumbnail

Anurag Anshu - Circuit-to-Hamiltonian from tensor networks and fault tolerance - IPAM at UCLA

Presenter
  • Anurag Anshu
November 28, 2023
IPAM
Weighted Pseudorandom Generators via Inverse Analysis of Random Walks and Shortcutting Thumbnail

Weighted Pseudorandom Generators via Inverse Analysis of Random Walks and Shortcutting

Presenter
  • William Hoza
November 28, 2023
IAS

Discovering the geometry of neural representations via topological tools.

Presenter
  • Vladimir Itskov
October 16, 2023
ICERM
Asymptotic Total Ergodicity and Polynomial Patterns in Finite Fields Thumbnail

Asymptotic Total Ergodicity and Polynomial Patterns in Finite Fields

Presenter
  • Vitaly Bergelson
March 3, 2023
IAS
Jerome Darbon - Algorithms for Non-Local Filtering; application CryoElectron & biological microscopy Thumbnail

Jerome Darbon - Algorithms for Non-Local Filtering; application CryoElectron & biological microscopy

Presenter
  • Jerome Darbon
September 15, 2022
IPAM
Strong refutation of semi-random Boolean CSPs Thumbnail

Strong refutation of semi-random Boolean CSPs

Presenter
  • Venkatesan Guruswami
March 8, 2021
IAS
Robust algorithmics: a foundation for science?! Thumbnail

Robust algorithmics: a foundation for science?!

Presenter
  • Joachim Buhmann
November 6, 2018
IPAM
Some topics in measure concentration II Thumbnail

Some topics in measure concentration II

Presenter
  • Tim Austin
March 21, 2018
IPAM
On Computational Hardness with Graph Neural Networks Thumbnail

On Computational Hardness with Graph Neural Networks

Presenter
  • Joan Bruna
February 7, 2018
IPAM
Using Machine-Learning to Create Predictive Material Property Models Thumbnail

Using Machine-Learning to Create Predictive Material Property Models

Presenter
  • Chris Wolverton
September 26, 2016
IPAM