Videos

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Toward a theory of optimization for over-parameterized systems of non-linear equations: the lessons of deep learning Thumbnail

Toward a theory of optimization for over-parameterized systems of non-linear equations: the lessons of deep learning

Presenter
  • Mikhail Belkin
April 21, 2020
IPAM
Modularity, Attention and Credit Assignment: Efficient information dispatching in neural computations Thumbnail

Modularity, Attention and Credit Assignment: Efficient information dispatching in neural computations

Presenter
  • Anirudh Goyal
April 16, 2020
IAS
The universal property of bispans Thumbnail

The universal property of bispans

Presenter
  • Rune Haugseng
March 27, 2020
SLMath
Secondary algebraic K-theory and traces Thumbnail

Secondary algebraic K-theory and traces

Presenter
  • Aaron Mazel-Gee
March 26, 2020
SLMath
Direct and dual Information Bottleneck frameworks for Deep Learning Thumbnail

Direct and dual Information Bottleneck frameworks for Deep Learning

Presenter
  • Tali Tishby
February 24, 2020
IAS
A band-free approach to twistronics Thumbnail

A band-free approach to twistronics

Presenter
  • Stephen Carr
January 15, 2020
IPAM
Effect of dislocations on collective modes of twisted 2D materials Thumbnail

Effect of dislocations on collective modes of twisted 2D materials

Presenter
  • Michael Fogler
January 14, 2020
IPAM
Graph Sparsification via Short Cycle Decomposition Thumbnail

Graph Sparsification via Short Cycle Decomposition

Presenter
  • Sushant Sachdeva
December 9, 2019
IAS
Furstenberg sets in finite fields Thumbnail

Furstenberg sets in finite fields

Presenter
  • Zeev Dvir
October 28, 2019
IAS
Systoles and Lagrangians of random complex projective hypersurfaces Thumbnail

Systoles and Lagrangians of random complex projective hypersurfaces

Presenter
  • Damien Gayet
October 17, 2019
SLMath
Unnormalized Optimal Transport Thumbnail

Unnormalized Optimal Transport

Presenter
  • Stanley Osher
May 23, 2019
IPAM
Unsupervised Learning with Graph Neural Networks Thumbnail

Unsupervised Learning with Graph Neural Networks

Presenter
  • Thomas Kipf
May 22, 2019
IPAM