Videos

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Energy-Based Self-Supervised Learning Thumbnail

Energy-Based Self-Supervised Learning

Presenter
  • Yann LeCun
November 19, 2019
IPAM
Machine learning for atomic and molecular simulations Thumbnail

Machine learning for atomic and molecular simulations

Presenter
  • Michele Ceriotti
November 18, 2019
IPAM
Covariant neural network architectures for learning physics Thumbnail

Covariant neural network architectures for learning physics

Presenter
  • Risi Kondor
November 18, 2019
IPAM
Trainability and accuracy of artificial neural networks Thumbnail

Trainability and accuracy of artificial neural networks

Presenter
  • Eric Vanden-Eijnden
November 18, 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
Understanding machine learning via exactly solvable statistical physics models Thumbnail

Understanding machine learning via exactly solvable statistical physics models

Presenter
  • Lenka Zdeborova
November 18, 2019
IPAM
Towards a low-cost scalable data-driven modeling of coupled systems and non-stationary time series analysis Thumbnail

Towards a low-cost scalable data-driven modeling of coupled systems and non-stationary time series analysis

Presenter
  • Lukas Pospisil
November 1, 2019
IPAM
Geometric Insights for Nonlinear TD Convergence Thumbnail

Geometric Insights for Nonlinear TD Convergence

Presenter
  • Joan Bruna
November 1, 2019
IPAM
Data-driven transfer operator approximation, model reduction, and system identification Thumbnail

Data-driven transfer operator approximation, model reduction, and system identification

Presenter
  • Stefan Klus
November 1, 2019
IPAM
Fields and flows in neural dynamics Thumbnail

Fields and flows in neural dynamics

Presenter
  • Bing Brunton
November 1, 2019
IPAM
Causality and machine learning for scientific discovery Thumbnail

Causality and machine learning for scientific discovery

Presenter
  • Jelena Bradic
October 31, 2019
IPAM
Validation and Reproducibility by Geometry, for Unsupervised Learning Thumbnail

Validation and Reproducibility by Geometry, for Unsupervised Learning

Presenter
  • Marina Meila
October 31, 2019
IPAM