Videos

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Quantum annealing and machine learning - new directions of quantum Thumbnail

Quantum annealing and machine learning - new directions of quantum

Presenter
  • Masayuki Ohzeki
November 19, 2019
IPAM
High-dimensional cost landscape and gradient descent in Tensor PCA and its generalisations Thumbnail

High-dimensional cost landscape and gradient descent in Tensor PCA and its generalisations

Presenter
  • Chiara Cammarota
November 19, 2019
IPAM
Which is worse: a weak signal lost in entropy or trapping by topological complexity? Thumbnail

Which is worse: a weak signal lost in entropy or trapping by topological complexity?

Presenter
  • Gerard Ben Arous
November 19, 2019
IPAM
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