Videos

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From pixels to torques: output feedback for robotics Thumbnail

From pixels to torques: output feedback for robotics

Presenter
  • Russell Tedrake
February 25, 2020
IPAM
A Confluence of Algebraic Topology and Numerical Analysis Thumbnail

A Confluence of Algebraic Topology and Numerical Analysis

Presenter
  • Douglas Arnold
October 28, 2013
IMA
Stationary features and cat detection Thumbnail

Stationary features and cat detection

Presenter
  • Donald Geman
October 6, 2009
IMA
Xuexin Wei - Learning and Inference with Prior Knowledge - IPAM at UCLA Thumbnail

Xuexin Wei - Learning and Inference with Prior Knowledge - IPAM at UCLA

Presenter
  • Xuexin Wei
September 25, 2024
IPAM
The Structure of Tilings Thumbnail

The Structure of Tilings

Presenter
  • Rachel Greenfeld
January 13, 2023
IAS
Towards a Theory of Non-commutative Optimization: Geodesic First and Second Order Methods for Moment Maps and Polytopes Thumbnail

Towards a Theory of Non-commutative Optimization: Geodesic First and Second Order Methods for Moment Maps and Polytopes

Presenter
  • Peter Bürgisser
May 20, 2021
IPAM

msolve - A Library for Solving Polynomial Systems

Presenter
  • Christian Eder
February 18, 2021
ICERM
Towards a theory of non-commutative optimization: geodesic 1st and 2nd order methods for moment maps and polytopes Thumbnail

Towards a theory of non-commutative optimization: geodesic 1st and 2nd order methods for moment maps and polytopes

Presenter
  • Rafael Oliveira
October 22, 2019
IAS
A PSPACE construction of a hitting set for the closure of small algebraic circuits Thumbnail

A PSPACE construction of a hitting set for the closure of small algebraic circuits

Presenter
  • Amir Shpilka
December 12, 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
Conveying and Analyzing Shapes: From Art to Science Thumbnail

Conveying and Analyzing Shapes: From Art to Science

Presenter
  • Alla Sheffer
February 9, 2016
IPAM