Videos

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

Presenter
  • Philipp Petersen
January 29, 2019
ICERM

Deep Neural Network, Finite Element and Multigrid

Presenter
  • Jinchao Xu
January 28, 2019
ICERM

Which ReLU Net Architectures Give Rise to Exploding and Vanishing Gradients

Presenter
  • Boris Hanin
January 28, 2019
ICERM
Convolutional Neural Networks on Graphs Thumbnail

Convolutional Neural Networks on Graphs

Presenter
  • Xavier Bresson
February 7, 2018
IPAM
Interpretable Neural Network Models for Granger Causality Discovery Thumbnail

Interpretable Neural Network Models for Granger Causality Discovery

Presenter
  • Emily Fox
February 5, 2018
IPAM

Lipschitz bounds for general convolutional neural networks

Presenter
  • Dongmian Zou
September 26, 2017
IMA
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy? Thumbnail

Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?

Presenter
  • Alex Bronstein
February 8, 2016
IPAM
Deriving neural circuits from first principles Thumbnail

Deriving neural circuits from first principles

Presenter
  • Mitya Chklovskii
October 5, 2015
SLMath
Modeling Neural Circuits - Kenneth Miller, Columbia University Thumbnail

Modeling Neural Circuits - Kenneth Miller, Columbia University

August 17, 2015
SAMSI
The neural mechanics of attention-mediated suppression of noise correlations - Brent Doiron, University of Pittsburgh Thumbnail

The neural mechanics of attention-mediated suppression of noise correlations - Brent Doiron, University of Pittsburgh

August 17, 2015
SAMSI

Extracting large networks from connectomes

Presenter
  • Robert Marc
April 21, 2014
MBI

Unpacking neuronal form and neighborhoods from connectomes

Presenter
  • Robert Marc
February 10, 2014
MBI