Videos

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Mapping Class Group Algorithms

Presenter
  • Johanna Mangahas
November 2, 2019
ICERM
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
The cgDNA sequence-dependent coarse-grain model of dsDNA: Bridging the scales from Molecular Dynamics to Bioinformatics Thumbnail

The cgDNA sequence-dependent coarse-grain model of dsDNA: Bridging the scales from Molecular Dynamics to Bioinformatics

Presenter
  • John Maddocks
October 30, 2019
IPAM
An Information Theoretic Approach to Validate Deep Learning-Based Algorithms Thumbnail

An Information Theoretic Approach to Validate Deep Learning-Based Algorithms

Presenter
  • Gitta Kutyniok
October 30, 2019
IPAM
Some New Insights On Transfer Learning Thumbnail

Some New Insights On Transfer Learning

Presenter
  • Samory Kpotufe
October 30, 2019
IPAM
Understanding ML models Thumbnail

Understanding ML models

Presenter
  • Klaus-Robert Muller
October 30, 2019
IPAM
Hidden Physics Models: Machine Learning of Non-Linear Partial Differential Equations Thumbnail

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

Presenter
  • Maziar Raissi
October 29, 2019
IPAM