Videos

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Fluctuations of the Nodal Line Length of Laplace eigenfunctions on the Arithmetic torus Thumbnail

Fluctuations of the Nodal Line Length of Laplace eigenfunctions on the Arithmetic torus

Presenter
  • Igor Wigman
January 20, 2011
IAS
Tutorial - Spectral clustering and high-dim stochastic block model for undirected and directed graphs Thumbnail

Tutorial - Spectral clustering and high-dim stochastic block model for undirected and directed graphs

Presenter
  • Bin Yu
September 26, 2011
IMA
Symplectic and spectral theory of semitoric integrable systems Thumbnail

Symplectic and spectral theory of semitoric integrable systems

Presenter
  • San Vu-Ngoc
May 5, 2010
SLMath
Sharp arithmetic spectral transitions and universal hierarchical structure of quasiperiodic eigenfunctions Thumbnail

Sharp arithmetic spectral transitions and universal hierarchical structure of quasiperiodic eigenfunctions

Presenter
  • Svetlana Jitomirskaya
January 20, 2017
SLMath
New Approach to Matrix Perturbation: Beyond the Worst-Case Analysis Thumbnail

New Approach to Matrix Perturbation: Beyond the Worst-Case Analysis

Presenter
  • Van Vu
November 3, 2025
IAS
From Persistent Local Homology to Spectral Sequences Thumbnail

From Persistent Local Homology to Spectral Sequences

Presenter
  • Primoz Skraba
March 7, 2014
IMA
Spectral Clustering Revisited Thumbnail

Spectral Clustering Revisited

Presenter
  • Misha Belkin
October 31, 2013
IMA
How Large is the Norm of a Random Matrix? Thumbnail

How Large is the Norm of a Random Matrix?

Presenter
  • Ramon van Handel
April 17, 2015
IMA

Stabilizing particles across scales

Presenter
  • Dante Kalise
May 8, 2024
ICERM
Robust and Efficient Spectral Clustering of Large Graphs Thumbnail

Robust and Efficient Spectral Clustering of Large Graphs

Presenter
  • Aarti Singh
October 24, 2011
IMA
Power Spectral Density Uncertainty and Gravitational-Wave Parameter Estimation Thumbnail

Power Spectral Density Uncertainty and Gravitational-Wave Parameter Estimation

Presenter
  • Sylvia Biscoveanu
November 19, 2021
IPAM
Uncertainty Quantification and Hypocoercivity Based Sensitivity Analysis for Multiscale Kinetic Equations with Random Inputs Thumbnail

Uncertainty Quantification and Hypocoercivity Based Sensitivity Analysis for Multiscale Kinetic Equations with Random Inputs

Presenter
  • Shi Jin
November 15, 2017
IPAM