Videos

Start date cannot be after end date.

Partial Differential Equations Approaches to Optimization and Regularization of Deep Neural Networks

Presenter
  • Adam Oberman
November 2, 2018
ICERM
Learning low-dimensional models: Nonlinear model reduction via lifting transformations and proper orthogonal decomposition Thumbnail

Learning low-dimensional models: Nonlinear model reduction via lifting transformations and proper orthogonal decomposition

Presenter
  • Karen Willcox
October 15, 2018
IPAM
Deep Learning for Science: current status and future directions Thumbnail

Deep Learning for Science: current status and future directions

Presenter
  • Mr Prabhat
September 18, 2018
IPAM
On Expressiveness and Optimization in Deep Learning Thumbnail

On Expressiveness and Optimization in Deep Learning

Presenter
  • Nadav Cohen
April 2, 2018
IAS
Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity II Thumbnail

Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity II

Presenter
  • Russell Impagliazzo
November 14, 2017
IAS
Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity I Thumbnail

Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity I

Presenter
  • Russell Impagliazzo
November 13, 2017
IAS
Learning dynamics with dynamical distances: From diffusion maps to commute maps and coherence Thumbnail

Learning dynamics with dynamical distances: From diffusion maps to commute maps and coherence

Presenter
  • Ralf Banisch
December 5, 2016
IPAM
Explaining and Understanding Non-linear Classifier Decisions with Application to Deep Learning Thumbnail

Explaining and Understanding Non-linear Classifier Decisions with Application to Deep Learning

Presenter
  • Klaus-Robert Müller
November 18, 2016
IPAM
Machine Learning in Materials Science: Recent Progress and Critical Next Steps Thumbnail

Machine Learning in Materials Science: Recent Progress and Critical Next Steps

Presenter
  • Rampi Ramprasad
September 26, 2016
IPAM
Learning, Mining and Networks Thumbnail

Learning, Mining and Networks

Presenter
  • Tina Eliassi-Rad
March 9, 2016
IPAM
Learning, Predictability and Stability in Big Games (Part 3) Thumbnail

Learning, Predictability and Stability in Big Games (Part 3)

Presenter
  • Eran Shmaya
July 14, 2015
IPAM
Learning, Predictability and Stability in Big Games (Part 2) Thumbnail

Learning, Predictability and Stability in Big Games (Part 2)

Presenter
  • Ehud Kalai
July 13, 2015
IPAM