Videos

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Hierarchical models for random permutations Thumbnail

Hierarchical models for random permutations

Presenter
  • Villo Csiszar
December 15, 2008
SLMath

Approximation errors, inverse problems and model reduction

Presenter
  • Ville Kolehmainen
September 7, 2017
IMA
Bifractional Brownian Motion: Existence and Border Cases Thumbnail

Bifractional Brownian Motion: Existence and Border Cases

Presenter
  • Mikhail Lifshits
April 30, 2015
IMA
Dynamics of turbulent-laminar banded patterns in Poiseuille and Couette flow Thumbnail

Dynamics of turbulent-laminar banded patterns in Poiseuille and Couette flow

Presenter
  • Laurette Tuckerman
November 21, 2014
IPAM

Multi-scale analysis of Jordan curves

Presenter
  • Ben Jaye
October 3, 2022
ICERM
Practical Implementations: The Nuts and Bolts of DFT (Part 1) Thumbnail

Practical Implementations: The Nuts and Bolts of DFT (Part 1)

Presenter
  • Volker Blum
July 22, 2014
IPAM
Parsimonious structure-exploiting deep neural network surrogates for Bayesian inverse problems and optimal experimental design Thumbnail

Parsimonious structure-exploiting deep neural network surrogates for Bayesian inverse problems and optimal experimental design

Presenter
  • Omar Ghattas
October 7, 2020
IMSI
Scalable algorithms for optimal experimental design for large-scale Bayesian inverse problems governed by complex models Thumbnail

Scalable algorithms for optimal experimental design for large-scale Bayesian inverse problems governed by complex models

Presenter
  • Omar Ghattas
October 18, 2018
IPAM
Scalable algorithms for optimal training data for Bayesian inference of large scale models Thumbnail

Scalable algorithms for optimal training data for Bayesian inference of large scale models

Presenter
  • Omar Ghattas
September 27, 2018
IPAM