Videos

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Estimating Learnability

Presenter
  • Gregory Valiant
January 30, 2019
ICERM

Sequential Particle Flow for Bayesian Inference

Presenter
  • Le Song
January 30, 2019
ICERM

Deep Neural Networks for Data-Driven Turbulence Models

Presenter
  • Andrea Beck
January 30, 2019
ICERM

Data Driven Governing Equations Approximation Using Deep Neural Networks

Presenter
  • Dongbin Xiu
January 29, 2019
ICERM

Nonlinear reduced-order modeling - Using machine learning to enable extreme-scale simulation for many-query problems

Presenter
  • Kevin Carlberg
January 29, 2019
ICERM

Data-driven model discovery and coordinate embeddings for physical systems

Presenter
  • J. Nathan Kutz
January 29, 2019
ICERM

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

Presenter
  • Philipp Petersen
January 29, 2019
ICERM

Collapse of deep and narrow neural nets

Presenters
  • Lu Lu
  • Yeonjong Shin
January 28, 2019
ICERM

Hidden Physics Models - Machine Learning of Non-Linear Partial Differential Equations

Presenter
  • Maziar Raissi
January 28, 2019
ICERM

A new perspective on machine learning

Presenter
  • Hrushikesh Mhaskar
January 28, 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