Videos

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Decoding geometry and topology of neural representations Thumbnail

Decoding geometry and topology of neural representations

Presenter
  • Vladimir Itskov
May 10, 2021
SLMath
Nerve theorems for fixed points of neural networks Thumbnail

Nerve theorems for fixed points of neural networks

Presenter
  • Daniela Egas Santander
May 7, 2021
SLMath
Chasing the Long Tail: What Neural Networks Memorize and Why Thumbnail

Chasing the Long Tail: What Neural Networks Memorize and Why

Presenter
  • Vitaly Feldman
April 14, 2021
IMSI
Computational/Statistical Gaps for Learning Neural Networks Thumbnail

Computational/Statistical Gaps for Learning Neural Networks

Presenter
  • Adam Klivans
April 13, 2021
IMSI
Task structure and generalization in graph neural networks Thumbnail

Task structure and generalization in graph neural networks

Presenter
  • Stefanie Jegelka
February 25, 2021
IPAM
Exact Combinatorial Optimization with Graph Convolutional Neural Networks Thumbnail

Exact Combinatorial Optimization with Graph Convolutional Neural Networks

Presenter
  • Laurent Charlin
February 24, 2021
IPAM
On Sparse Linear Programming and (simple) neural networks Thumbnail

On Sparse Linear Programming and (simple) neural networks

Presenter
  • Joan Bruna
February 24, 2021
IPAM
Solving Mixed Integer Programs Using Neural Networks Thumbnail

Solving Mixed Integer Programs Using Neural Networks

Presenter
  • Vinod Nair
February 24, 2021
IPAM
Event Sequence Modeling with the Neural Hawkes Process Thumbnail

Event Sequence Modeling with the Neural Hawkes Process

Presenter
  • Jason Eisner
August 20, 2020
IAS
An empirical look at generalization in neural nets Thumbnail

An empirical look at generalization in neural nets

Presenter
  • Tom Goldstein
April 22, 2020
IPAM
Momentum in Stochastic Gradient Descent and Deep Neural Nets Thumbnail

Momentum in Stochastic Gradient Descent and Deep Neural Nets

Presenter
  • Bao Wang
January 29, 2020
IPAM