Videos

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Learning dynamical laws from data in classical and quantum settings Thumbnail

Learning dynamical laws from data in classical and quantum settings

Presenter
  • Jens Eisert
October 29, 2019
IPAM
Chaotic convection and Lorenz-like dynamics/A brief overview of SINDy Thumbnail

Chaotic convection and Lorenz-like dynamics/A brief overview of SINDy

Presenter
  • Jean-Christophe Loiseau
October 29, 2019
IPAM
Discovering interpretable and generalizable dynamical systems from data Thumbnail

Discovering interpretable and generalizable dynamical systems from data

Presenter
  • Steve Brunton
October 29, 2019
IPAM
Machine Learning and Dynamical Systems meet in Reproducing Kernel Hilbert Spaces Thumbnail

Machine Learning and Dynamical Systems meet in Reproducing Kernel Hilbert Spaces

Presenter
  • Boumediene Hamzi
October 28, 2019
IPAM
Kernel Analog Forecasting: Multiscale Problems Thumbnail

Kernel Analog Forecasting: Multiscale Problems

Presenter
  • Krithika Manohar
October 28, 2019
IPAM
Multiscale analysis of accelerated gradient methods in machine learning Thumbnail

Multiscale analysis of accelerated gradient methods in machine learning

Presenter
  • Mohammad Farazmand
October 28, 2019
IPAM
Machine Learning for Fluid Mechanics Thumbnail

Machine Learning for Fluid Mechanics

Presenter
  • Petros Koumoutsakos
October 28, 2019
IPAM
Machine learning for molecular simulations: priors and predictive constraints Thumbnail

Machine learning for molecular simulations: priors and predictive constraints

Presenter
  • Tristan Bereau
October 18, 2019
IPAM
Data-driven models for predictive molecular simulations Thumbnail

Data-driven models for predictive molecular simulations

Presenter
  • Francesco Paesani
October 18, 2019
IPAM
Learning to learn, learning to forget Thumbnail

Learning to learn, learning to forget

Presenter
  • Pratyush Tiwary
October 18, 2019
IPAM
Improving PDE solvers and PDE-constrained optimization with deep learning and differentiable programming Thumbnail

Improving PDE solvers and PDE-constrained optimization with deep learning and differentiable programming

Presenter
  • Stephan Hoyer
October 18, 2019
IPAM
Interpretability: of what, for whom, why, and how? Thumbnail

Interpretability: of what, for whom, why, and how?

Presenter
  • Zachary Lipton
October 17, 2019
IPAM