Videos

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Active learning and experimental design - who should we test? Thumbnail

Active learning and experimental design - who should we test?

Presenter
  • Eldad Haber
April 21, 2020
IPAM
Towards Robust Artificial Intelligence Thumbnail

Towards Robust Artificial Intelligence

Presenter
  • Pushmeet Kohli
April 15, 2020
IAS
Solving high dimensional HJ equations using generalized Hopf-Lax formulas vs using Machine Learning Thumbnail

Solving high dimensional HJ equations using generalized Hopf-Lax formulas vs using Machine Learning

Presenters
  • Stanley Osher
  • Samy Wu Fung
April 1, 2020
IPAM
Trainability and accuracy of artificial neural networks Thumbnail

Trainability and accuracy of artificial neural networks

Presenter
  • Eric Vanden-Eijnden
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
Validation and Reproducibility by Geometry, for Unsupervised Learning Thumbnail

Validation and Reproducibility by Geometry, for Unsupervised Learning

Presenter
  • Marina Meila
October 31, 2019
IPAM
Model Interpretability for Building Confidence and Sparking Insight in Scientific Applications Thumbnail

Model Interpretability for Building Confidence and Sparking Insight in Scientific Applications

Presenter
  • Julia Ling
October 14, 2019
IPAM
Why Deep Learning Works: Heavy-Tailed Random Matrix Theory as an Example of Physics Informed Machine Learning Thumbnail

Why Deep Learning Works: Heavy-Tailed Random Matrix Theory as an Example of Physics Informed Machine Learning

Presenter
  • Michael Mahoney
October 14, 2019
IPAM
Deep Learning Opening Workshop: Solution Estimators in Stochastic Optimization, Amitabh Basu Thumbnail

Deep Learning Opening Workshop: Solution Estimators in Stochastic Optimization, Amitabh Basu

August 12, 2019
SAMSI

An ICERM Public Lecture - Bias in bios: fairness in a high-stakes machine-learning setting

Presenter
  • Adam Kalai
March 21, 2019
ICERM
An Optimal Transportation (OT) View of Generative Adversarial Networks (GANs) (Part 2/2) Thumbnail

An Optimal Transportation (OT) View of Generative Adversarial Networks (GANs) (Part 2/2)

Presenter
  • David Xianfeng Gu
March 13, 2019
IPAM
An Optimal Transportation (OT) View of Generative Adversarial Networks (GANs) (Part 1/2) Thumbnail

An Optimal Transportation (OT) View of Generative Adversarial Networks (GANs) (Part 1/2)

Presenter
  • David Xianfeng Gu
March 13, 2019
IPAM