Videos

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Manifold Learning for the Sciences Thumbnail

Manifold Learning for the Sciences

Presenter
  • Marina Meila
May 1, 2019
IPAM
Bridging Deep Neural Networks and Differential Equations for Image Analysis and Beyond Thumbnail

Bridging Deep Neural Networks and Differential Equations for Image Analysis and Beyond

Presenter
  • Bin Dong
May 1, 2019
IPAM

Optimization for Robust Deep Learning

Presenter
  • M. Pawan Kumar
May 1, 2019
ICERM

Testing and correcting distributions over big domains

Presenter
  • Ronitt Rubinfeld
April 30, 2019
ICERM
Learning to Solve Inverse Problems in Imaging Thumbnail

Learning to Solve Inverse Problems in Imaging

Presenter
  • Rebecca Willett
April 30, 2019
IPAM

Valued Constraint Satisfaction Problems

Presenter
  • Vladimir Kolmogorov
April 30, 2019
ICERM
Geometric surprises in modern machine learning Thumbnail

Geometric surprises in modern machine learning

Presenter
  • Andrea Montanari
April 30, 2019
IPAM

Approximate Message Passing Algorithms for High-dimensional Statistical Estimation in Image Processing

Presenter
  • Cynthia Rush
April 30, 2019
ICERM
Infinite-Width Bounded-Norm Networks: A View from Function Space Thumbnail

Infinite-Width Bounded-Norm Networks: A View from Function Space

Presenter
  • Nathan Srebro
April 30, 2019
IPAM

Rotation Averaging and Strong Duality

Presenter
  • Fredrik Kahl
April 30, 2019
ICERM
Log-concave density estimation: high dimensions Thumbnail

Log-concave density estimation: high dimensions

Presenter
  • Richard Samworth
April 30, 2019
IPAM
The density of expected persistence diagrams and its kernel based estimation Thumbnail

The density of expected persistence diagrams and its kernel based estimation

Presenter
  • Frederic Chazal
April 30, 2019
IPAM