Videos

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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
Simulation-based inference, interpretability, and experimental design Thumbnail

Simulation-based inference, interpretability, and experimental design

Presenter
  • Kyle Cranmer
October 17, 2019
IPAM
Density functionals from machine learning Thumbnail

Density functionals from machine learning

Presenter
  • Kieron Burke
October 17, 2019
IPAM
Quantum Machine Learning Thumbnail

Quantum Machine Learning

Presenter
  • Anatole von Lilienfeld
October 17, 2019
IPAM
Deep Learning Dive into the Scanning Transmission Electron Microscopy: Materials Design, Learning Physics, and Atomic Manipulation Thumbnail

Deep Learning Dive into the Scanning Transmission Electron Microscopy: Materials Design, Learning Physics, and Atomic Manipulation

Presenter
  • Sergei Kalinin
October 17, 2019
IPAM
Structured Deep Generative Models Thumbnail

Structured Deep Generative Models

Presenter
  • Adji Bousso Dieng
October 16, 2019
IPAM
Interpretability and explainability from a causal lens Thumbnail

Interpretability and explainability from a causal lens

Presenter
  • Judea Pearl
October 16, 2019
IPAM