Videos

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Learning with few labeled data Thumbnail

Learning with few labeled data

Presenter
  • Pratik Chaudhari
April 23, 2020
IPAM

Extreme event probability estimation using large-deviation theory and PDE-constrained optimization, with application to tsunamis

Presenter
  • Georg Stadler
April 23, 2020
ICERM
Learning Over-parameterized Neural Networks: From Neural Tangent Kernel to Mean-field Analysis Thumbnail

Learning Over-parameterized Neural Networks: From Neural Tangent Kernel to Mean-field Analysis

Presenter
  • Quanquan Gu
April 23, 2020
IPAM

Output-weighted optimal sampling for Bayesian regression and rare event statistics using few samples

Presenter
  • Themistoklis Sapsis
April 23, 2020
ICERM
Learning to Solve Inverse Problems in Imaging Thumbnail

Learning to Solve Inverse Problems in Imaging

Presenter
  • Rebecca Willett
April 23, 2020
IPAM

Transport and Multilevel Approaches for Large-Scale PDE-Constrained Bayesian Inference

Presenter
  • Robert Scheichl
April 23, 2020
ICERM
Training neural ODEs for density estimation Thumbnail

Training neural ODEs for density estimation

Presenter
  • Christopher Finlay
April 23, 2020
IPAM
Accelerated Information Gradient Flow Thumbnail

Accelerated Information Gradient Flow

Presenter
  • Wuchen Li
April 23, 2020
IPAM

Reduced Order Model Approach to Inverse Scattering

Presenter
  • Jorn Zimmerling
April 22, 2020
ICERM
An empirical look at generalization in neural nets Thumbnail

An empirical look at generalization in neural nets

Presenter
  • Tom Goldstein
April 22, 2020
IPAM

Modeling dynamical systems from data

Presenter
  • Serkan Gugercin
April 22, 2020
ICERM
Differential Operators for Generating Structured Adversarial Examples Thumbnail

Differential Operators for Generating Structured Adversarial Examples

Presenter
  • Hossein Mobahi
April 22, 2020
IPAM