Videos

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Novel tensor framework for model reduction and neural networks

Presenter
  • Shashanka Ubaru
March 23, 2020
ICERM
Understanding Deep Neural Networks: From Generalization to Interpretability Thumbnail

Understanding Deep Neural Networks: From Generalization to Interpretability

Presenter
  • Gitta Kutyniok
March 5, 2020
IAS
Graph neural networks for combinatorial optimization problems Thumbnail

Graph neural networks for combinatorial optimization problems

Presenter
  • Soledad Villar
November 21, 2019
IPAM
Covariant neural network architectures for learning physics Thumbnail

Covariant neural network architectures for learning physics

Presenter
  • Risi Kondor
November 18, 2019
IPAM
Euclidean Neural Networks* for Emulating Ab Initio Calculations and Generating Atomic Geometries *also called Tensor Field Networks and 3D Steerable CNNs Thumbnail

Euclidean Neural Networks* for Emulating Ab Initio Calculations and Generating Atomic Geometries *also called Tensor Field Networks and 3D Steerable CNNs

Presenter
  • Tess Smidt
September 27, 2019
IPAM
Understanding Neural Nets in Function Space Thumbnail

Understanding Neural Nets in Function Space

Presenter
  • Ankit Patel
September 26, 2019
IPAM
Deep Neural Networks Motivated By Differential Equations (Part 2/2) Thumbnail

Deep Neural Networks Motivated By Differential Equations (Part 2/2)

Presenter
  • Lars Ruthotto
September 10, 2019
IPAM
Deep Neural Networks Motivated By Differential Equations (Part 1/2) Thumbnail

Deep Neural Networks Motivated By Differential Equations (Part 1/2)

Presenter
  • Lars Ruthotto
September 9, 2019
IPAM
Covariant neural networks for learning physical systems Thumbnail

Covariant neural networks for learning physical systems

Presenter
  • Imre Risi Kondor
May 1, 2019
IPAM
Convolutional neural networks in phase space and inverse problems for nonlinear wave equations Thumbnail

Convolutional neural networks in phase space and inverse problems for nonlinear wave equations

Presenter
  • Yiran Wang
January 30, 2019
IPAM

Deep Neural Networks for Data-Driven Turbulence Models

Presenter
  • Andrea Beck
January 30, 2019
ICERM

Deep Neural Networks and Partial Differential Equations - Approximation Theory and Structural Properties

Presenter
  • Philipp Petersen
January 29, 2019
ICERM