Videos

Start date cannot be after end date.
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems Thumbnail

A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems

Presenter
  • Sammy Wu Fung
May 5, 2020
SLMath
A mean-field theory of lazy training in two-layer neural nets: entropic regularization and controlled McKean-Vlasov dynamics Thumbnail

A mean-field theory of lazy training in two-layer neural nets: entropic regularization and controlled McKean-Vlasov dynamics

Presenter
  • Maxim Raginsky
April 21, 2020
IPAM

Understanding and mitigating gradient flow pathologies in physics-informed neural networks

Presenter
  • Paris Perdikaris
April 21, 2020
ICERM
Splines and imaging: From compressed sensing to deep neural networks Thumbnail

Splines and imaging: From compressed sensing to deep neural networks

Presenter
  • MIchael Unser
January 27, 2020
IPAM
On the existence of wide flat minima in neural network landscapes: analytic and algorithm approaches Thumbnail

On the existence of wide flat minima in neural network landscapes: analytic and algorithm approaches

Presenter
  • Carlo Baldassi
November 20, 2019
IPAM
Capacity-resolution trade-off in the optimal learning of multiple low-dimensional manifolds by attractor neural networks Thumbnail

Capacity-resolution trade-off in the optimal learning of multiple low-dimensional manifolds by attractor neural networks

Presenter
  • Remi Monasson
November 18, 2019
IPAM
Curiosity, unobserved rewards and neural networks: On recent progress in building solid foundations for RL Thumbnail

Curiosity, unobserved rewards and neural networks: On recent progress in building solid foundations for RL

Presenter
  • Csaba Szepesvari
November 7, 2019
IAS
Automatic Feature Extraction from Hyperspectral Imagery using Deep Recurrent Neural Networks Thumbnail

Automatic Feature Extraction from Hyperspectral Imagery using Deep Recurrent Neural Networks

Presenter
  • Joshua Agar
September 25, 2019
IPAM
Deep Learning Opening Workshop: A Survey of Statistical Research in Neural Networks and Deep Learning, Xiaoming Huo Thumbnail

Deep Learning Opening Workshop: A Survey of Statistical Research in Neural Networks and Deep Learning, Xiaoming Huo

August 12, 2019
SAMSI

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

Presenter
  • Adam Oberman
November 2, 2018
ICERM
Optimization Methods for Large Scale Distributed Deep Learning Thumbnail

Optimization Methods for Large Scale Distributed Deep Learning

Presenter
  • Rio Yokota
September 28, 2018
IPAM
An electrodiffusive framework for large scale ion concentration dynamics in neural tissue Thumbnail

An electrodiffusive framework for large scale ion concentration dynamics in neural tissue

Presenter
  • Geir Halnes
February 15, 2018
IMA