Videos

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Adjoint-Based a Posteriori Error Estimation and Uncertainty Quantification for Transient Nonlinear Problems with Discontinuous Solutions

Presenter
  • Timothy Wildey
September 2, 2015
ICERM

Computationally efficient inference for sparsity-promoting hierarchical Bayesian models

Presenter
  • Jan Glaubitz
March 4, 2026
ICERM
Benjamin Zhang - Probabilistic operator learning: generative modeling and uncertainty quantification Thumbnail

Benjamin Zhang - Probabilistic operator learning: generative modeling and uncertainty quantification

Presenter
  • Benjamin Zhang
July 15, 2025
IPAM
Sensitivity analysis, uncertainty quantification and inference in stochastic dynamics Thumbnail

Sensitivity analysis, uncertainty quantification and inference in stochastic dynamics

Presenter
  • Yannis Pantazis
January 20, 2016
IPAM
Rational Kriging Thumbnail

Rational Kriging

Presenter
  • Roshan Joseph
April 4, 2025
IMSI
Numerical Approximation of PDEs with Stochastic Coefficients Thumbnail

Numerical Approximation of PDEs with Stochastic Coefficients

Presenter
  • Raul Tempone
January 15, 2013
IMA
Uncertainty Quantification and Thermodynamic Formalism for Stochastic Systems Thumbnail

Uncertainty Quantification and Thermodynamic Formalism for Stochastic Systems

Presenter
  • Luc Rey-Bellet
November 14, 2017
IPAM
Model reduction for uncertainty quantification and optimization under uncertainty of large-scale complex systems Thumbnail

Model reduction for uncertainty quantification and optimization under uncertainty of large-scale complex systems

October 22, 2010
IMA
Hierarchical Bayesian Models for Uncertainty Quantification and Model Validation Thumbnail

Hierarchical Bayesian Models for Uncertainty Quantification and Model Validation

Presenter
  • Roger Ghanem
June 9, 2011
IMA
On the need for uncertainty quantification in hyperbolic PDE applications at Sandia National Laboratories Thumbnail

On the need for uncertainty quantification in hyperbolic PDE applications at Sandia National Laboratories

Presenter
  • Guglielmo Scovazzi
October 21, 2010
IMA
Thomas Swinburne - Functional simulations for uncertainty quantification and inverse problems Thumbnail

Thomas Swinburne - Functional simulations for uncertainty quantification and inverse problems

Presenter
  • Thomas Swinburne
October 29, 2025
IPAM
Utilizing Adjoint-Based Techniques to Improve the Accuracy and Reliability in Uncertainty Quantification Thumbnail

Utilizing Adjoint-Based Techniques to Improve the Accuracy and Reliability in Uncertainty Quantification

Presenter
  • Timothy Wildey
February 23, 2016
IMA