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
Learning to Solve Inverse Problems in Imaging Thumbnail

Learning to Solve Inverse Problems in Imaging

Presenter
  • Rebecca Willett
April 30, 2019
IPAM
Geometric surprises in modern machine learning Thumbnail

Geometric surprises in modern machine learning

Presenter
  • Andrea Montanari
April 30, 2019
IPAM
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
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
A consistent algorithmic framework for structured machine learning Thumbnail

A consistent algorithmic framework for structured machine learning

Presenter
  • Lorenzo Rosasco
April 29, 2019
IPAM
Solving for committor functions in high dimension Thumbnail

Solving for committor functions in high dimension

Presenter
  • Jianfeng Lu
April 29, 2019
IPAM
Metric learning for persistence-based summaries and application to graph classification Thumbnail

Metric learning for persistence-based summaries and application to graph classification

Presenter
  • Yusu Wang
April 29, 2019
IPAM
Data Analysis with the Riemannian Geometry of Symmetric Positive-Definite Matrices Thumbnail

Data Analysis with the Riemannian Geometry of Symmetric Positive-Definite Matrices

Presenter
  • Ronen Talmon
April 29, 2019
IPAM
DAGs with NO TEARS: Continuous Optimization for Structure Learning Thumbnail

DAGs with NO TEARS: Continuous Optimization for Structure Learning

Presenter
  • Pradeep Ravikumar
April 29, 2019
IPAM