Videos

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Learning to Solve Inverse Problems in Imaging Thumbnail

Learning to Solve Inverse Problems in Imaging

Presenter
  • Rebecca Willett
April 30, 2019
IPAM
Polynomial Maps With Noisy Input-Distributions Thumbnail

Polynomial Maps With Noisy Input-Distributions

Presenter
  • Jop Briet
October 25, 2022
IAS
Spectral analysis of high-dimensional time series with applications to the mean-variance frontier Thumbnail

Spectral analysis of high-dimensional time series with applications to the mean-variance frontier

Presenter
  • Alexander Aue
February 22, 2018
IMA

Stationary Populations

Presenter
  • Arni S.R. Srinivasa Rao
April 18, 2016
MBI
David Spivak - Plausible Fiction: Accounting for Actualizing Potential - IPAM at UCLA Thumbnail

David Spivak - Plausible Fiction: Accounting for Actualizing Potential - IPAM at UCLA

Presenter
  • David Spivak
November 5, 2024
IPAM
David Wolpert - From Smith’s Invisible Hand to Distributed Optimization and Control - IPAM at UCLA Thumbnail

David Wolpert - From Smith’s Invisible Hand to Distributed Optimization and Control - IPAM at UCLA

Presenter
  • David Wolpert
November 4, 2024
IPAM

Efficient Computation through Tuned Approximation

Presenter
  • David Keyes
September 8, 2024
ICERM
David Keating - Stochastic Box-Ball System - IPAM at UCLA Thumbnail

David Keating - Stochastic Box-Ball System - IPAM at UCLA

Presenter
  • David Keating
May 22, 2024
IPAM

Archimedean heights of generalized Heegner cycles

Presenter
  • David Lilienfeldt
May 15, 2024
ICERM

Recent Advances in Weak From-Based Learning of Interacting Particle Systems

Presenter
  • David Bortz
May 7, 2024
ICERM

Machine Learning and Reduced Order Modeling for Large-Scale Industrial Digital Twins

Presenter
  • David Knezevic
March 23, 2024
ICERM

Using higher-order moments for subspace clustering

Presenter
  • David Hong
January 11, 2024
ICERM