Videos

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Combinatorial Pooling Enables Selective Sequencing of the Barley Gene Space Thumbnail

Combinatorial Pooling Enables Selective Sequencing of the Barley Gene Space

Presenter
  • Stefano Lonardi
February 14, 2012
IMA
Elastic Shape Matching: Combinatorial versus Direct Approaches Thumbnail

Elastic Shape Matching: Combinatorial versus Direct Approaches

Presenter
  • Daniel Cremers
April 15, 2019
IPAM

Spectral theory of triangular difference operators and the combinatorial Gale transform

Presenter
  • Igor Krichever
August 26, 2014
ICERM
Equivariant Cohomology and the (Symplectic) Diffeotype of Complexity-One Four-Manifolds Thumbnail

Equivariant Cohomology and the (Symplectic) Diffeotype of Complexity-One Four-Manifolds

Presenter
  • Tara Holm
April 18, 2025
IAS
Algebraic K-theory, combinatorial K-theory and geometry Thumbnail

Algebraic K-theory, combinatorial K-theory and geometry

Presenter
  • Inna Zakharevich
September 14, 2018
IAS
Nilmanifolds in ergodic theory, I Thumbnail

Nilmanifolds in ergodic theory, I

Presenter
  • Bernard Host
August 25, 2008
SLMath
Nilmanifolds in ergodic theory, II Thumbnail

Nilmanifolds in ergodic theory, II

Presenter
  • Bernard Host
August 25, 2008
SLMath
Noah Snyder - The Delannoy Category - IPAM at UCLA Thumbnail

Noah Snyder - The Delannoy Category - IPAM at UCLA

Presenter
  • Noah Snyder
January 10, 2024
IPAM
Large N expansions in matrix models Thumbnail

Large N expansions in matrix models

Presenter
  • Alice Guionnet
June 25, 2012
IMA
Shifted Transversal Design Smart-pooling: increasing sensitivity, specificity and efficiency in high-throughput biology Thumbnail

Shifted Transversal Design Smart-pooling: increasing sensitivity, specificity and efficiency in high-throughput biology

Presenter
  • Nicolas Thierry-Mieg
February 15, 2012
IMA
On some geometry-grounded problems involving PDEs, Dynamics, and discretization Thumbnail

On some geometry-grounded problems involving PDEs, Dynamics, and discretization

Presenter
  • Dmitri Burago
November 5, 2021
IAS
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