Videos

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Dynamics and symmetries in neural network learning

Presenter
  • Stefanie Jegelka
June 8, 2023
ICERM

Machine Learning for discrete optimization: Graph Neural Networks, generalization under shifts, and loss functions

Presenter
  • Stefanie Jegelka
April 26, 2023
ICERM
Stefanie Jegelka - Two aspects of learning algorithms: generalization under shifts & loss functions Thumbnail

Stefanie Jegelka - Two aspects of learning algorithms: generalization under shifts & loss functions

Presenter
  • Stefanie Jegelka
March 2, 2023
IPAM
Learning in Graph Neural Networks Thumbnail

Learning in Graph Neural Networks

Presenter
  • Stefanie Jegelka
April 15, 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
Representational Power of Graph Neural Networks Thumbnail

Representational Power of Graph Neural Networks

Presenter
  • Stefanie Jegelka
October 18, 2019
IAS
Optimizing Decomposable Submodular Functions Thumbnail

Optimizing Decomposable Submodular Functions

Presenter
  • Stefanie Jegelka
February 24, 2015
IMA

Three bases and other tricks to replace Hankel and Toeplitz

Presenter
  • Stefanie Petermichl
June 7, 2018
ICERM
On the failure of lower square function estimates in the non-homogenous weighted setting. Thumbnail

On the failure of lower square function estimates in the non-homogenous weighted setting.

Presenter
  • Stefanie Petermichl
May 19, 2017
SLMath
From weighted estimates to change of law. Thumbnail

From weighted estimates to change of law.

Presenter
  • Stefanie Petermichl
January 19, 2017
SLMath
RNA Structure Characterization from High-Throughput Chemical Mapping Experiments Thumbnail

RNA Structure Characterization from High-Throughput Chemical Mapping Experiments

Presenter
  • Sharon Aviran
February 13, 2012
IMA
Simplicial Neural Networks Thumbnail

Simplicial Neural Networks

Presenter
  • Stefania Ebli
April 29, 2021
IMSI