Videos

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Stability Estimates for the log-Sobolev Inequality Thumbnail

Stability Estimates for the log-Sobolev Inequality

Presenter
  • Emanuel Indrei
April 15, 2015
IMA

Hydrodynamics challenges in inkjet printing

Presenter
  • Detlef Lohse
December 9, 2009
IMA
Approximation and learning with tree tensor networks Thumbnail

Approximation and learning with tree tensor networks

Presenter
  • Anthony Nouy
March 30, 2021
IPAM
Non-Markovian quantum dynamics: Foundations and applications to relaxation and transport processes Thumbnail

Non-Markovian quantum dynamics: Foundations and applications to relaxation and transport processes

Presenter
  • Heinz-Peter Breuer
March 2, 2009
IMA
Classical density functional theory approach to solvation in polar solvents Thumbnail

Classical density functional theory approach to solvation in polar solvents

Presenter
  • Daniel Borgis
December 12, 2008
IMA
Existence and Regularity of Nonlocal Minimal Surfaces Thumbnail

Existence and Regularity of Nonlocal Minimal Surfaces

Presenter
  • Michele Caselli
March 24, 2026
IAS
Definable Norms on Riemann-Zariski Spaces Thumbnail

Definable Norms on Riemann-Zariski Spaces

Presenter
  • Michal Szachniewicz
March 12, 2026
IAS
Michael Perlmutter - The Geometric Scattering Transform for High-dimensional Data Analysis Thumbnail

Michael Perlmutter - The Geometric Scattering Transform for High-dimensional Data Analysis

Presenter
  • Michael Perlmutter
February 26, 2026
IPAM
Michael Beverland - Real-time decoding for fault-tolerant quantum computers - IPAM at UCLA Thumbnail

Michael Beverland - Real-time decoding for fault-tolerant quantum computers - IPAM at UCLA

Presenter
  • Michael Beverland
February 19, 2026
IPAM

Closing the Theory-Practice Gap in Oblivious Subspace Embeddings

Presenter
  • Michal Dereziński
February 5, 2026
ICERM
Michael Fischer - Machine Learning Approach to Estimate 3-D Tropical Cyclone Kinematic Structure Thumbnail

Michael Fischer - Machine Learning Approach to Estimate 3-D Tropical Cyclone Kinematic Structure

Presenter
  • Michael Fischer
February 4, 2026
IPAM

Recent Developments in RandNLA: Random Matrix Theory for Modern Machine Learning?

Presenter
  • Michael Mahoney
February 2, 2026
ICERM