Videos

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Hierarchical Bayesian Models for Inverse Problems and Uncertainty Quantification Thumbnail

Hierarchical Bayesian Models for Inverse Problems and Uncertainty Quantification

August 20, 2018
SAMSI

A Two-Stage Markov Chain Monte Carlo Method for Seismic Inversion

Presenter
  • Susan Minkoff
November 9, 2017
ICERM

Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations

Presenter
  • Maziar Raissi
June 7, 2017
ICERM
Tutorial: Uncertainty Quantification in FWI using Ensemble method Thumbnail

Tutorial: Uncertainty Quantification in FWI using Ensemble method

Presenter
  • Romain Brossier
May 2, 2017
IPAM
Probabilistic Hazard Mapping and Uncertainty Quantification Based on Granular Flow Simulations Thumbnail

Probabilistic Hazard Mapping and Uncertainty Quantification Based on Granular Flow Simulations

Presenter
  • Elaine Spiller
December 16, 2013
IMA
Surrogate Response Surfaces in Global Optimization and Uncertainty Quantification of Computationally Expensive Simulations with PDE and Environmental Inverse Applications Thumbnail

Surrogate Response Surfaces in Global Optimization and Uncertainty Quantification of Computationally Expensive Simulations with PDE and Environmental Inverse Applications

Presenter
  • Christine Shoemaker
June 10, 2011
IMA
Advances in certifiable model reduction: parametric LTI systems and operator learning Thumbnail

Advances in certifiable model reduction: parametric LTI systems and operator learning

Presenter
  • Akil Narayan
November 13, 2025
IMSI
Uncertainty Quantification and Generative Modeling Using Multi-fidelity Strategies Thumbnail

Uncertainty Quantification and Generative Modeling Using Multi-fidelity Strategies

Presenter
  • Alireza Doostan
March 5, 2025
IMSI
Structure-exploiting sparse grid approximations for efficient uncertainty quantification and surrogate model construction Thumbnail

Structure-exploiting sparse grid approximations for efficient uncertainty quantification and surrogate model construction

Presenter
  • Ionut Farcas
February 21, 2024
IMSI
Uncertainty Quantification of an ergodic process, and its application in Simulated-Based Optimization problems Thumbnail

Uncertainty Quantification of an ergodic process, and its application in Simulated-Based Optimization problems

Presenter
  • Pooriya Beyhaghi
November 13, 2014
IPAM
Uncertainty quantification of shock interactions with complex environments Thumbnail

Uncertainty quantification of shock interactions with complex environments

Presenter
  • George Papanicolaou
June 3, 2011
IMA
Combining Stochastic Parameterized Reduced Order Models with Machine Learning for Data Assimilation and Uncertainty Quantification with Partial Observations Thumbnail

Combining Stochastic Parameterized Reduced Order Models with Machine Learning for Data Assimilation and Uncertainty Quantification with Partial Observations

Presenter
  • Nan Chen
October 31, 2022
IMSI