Videos

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Framing RNN as a kernel method: A neural ODE approach

Presenter
  • Adeline Fermanian
July 8, 2021
ICERM
Implicit and Explicit Regularization in Deep Neural Networks Thumbnail

Implicit and Explicit Regularization in Deep Neural Networks

Presenter
  • Babak Hassibi
May 18, 2021
IPAM
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