Videos

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Intrinsic complexity: from approximation of random vectors and random fields to solutions of PDEs Thumbnail

Intrinsic complexity: from approximation of random vectors and random fields to solutions of PDEs

Presenter
  • Hongkai Zhao
May 2, 2019
IPAM

Optimizing Jaccard, Dice, and other measures for image segmentation

Presenter
  • Matthew Blaschko
May 2, 2019
ICERM
PCS workflow, interpretable machine learning, and DeepTune Thumbnail

PCS workflow, interpretable machine learning, and DeepTune

Presenter
  • Bin Yu
May 2, 2019
IPAM
Machine learning approaches for a few optimization problems involving lines-of-sight Thumbnail

Machine learning approaches for a few optimization problems involving lines-of-sight

Presenter
  • Richard Tsai
May 2, 2019
IPAM

Adversarial Training and Robust Optimization

Presenter
  • Yair Weiss
May 2, 2019
ICERM
Singularities in reductions of Shimura varieties Thumbnail

Singularities in reductions of Shimura varieties

Presenter
  • Thomas Haines
May 2, 2019
IAS
Topological transitions (and symmetries) of input representations in Deep Learning Thumbnail

Topological transitions (and symmetries) of input representations in Deep Learning

Presenter
  • Naftali Tishby
May 1, 2019
IPAM
Covariant neural networks for learning physical systems Thumbnail

Covariant neural networks for learning physical systems

Presenter
  • Imre Risi Kondor
May 1, 2019
IPAM
PDE Approaches for Deep Learning Thumbnail

PDE Approaches for Deep Learning

Presenter
  • Stanley Osher
May 1, 2019
IPAM

Non-Convex Relaxations for Rank Regularization

Presenter
  • Carl Olsson
May 1, 2019
ICERM
Towards demystifying over-parameterization and early stopping in deep learning Thumbnail

Towards demystifying over-parameterization and early stopping in deep learning

Presenter
  • Mahdi Soltanolkotabi
May 1, 2019
IPAM

Image segmentation methods and the use of pairwise similarities in data mining and pattern recognition

Presenter
  • Dorit Hochbaum
May 1, 2019
ICERM