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The method of Distribution for Uncertainty Quantification
Presenter
- Daniel Tartakovsky
January 22, 2016
IPAM
Physics-based modeling of materials and uncertainty quantification as drivers for exascale computing
Presenter
- Jaime Marian
February 3, 2017
IPAM
Combining Data Assimilation with Markov Chain Monte Carlo for Uncertainty Quantification
Presenter
- Albert Reynolds
May 23, 2017
IPAM
Learning from data through the lens of (ocean) models, surrogates, and their derivatives
Presenter
- Patrick Heimbach
September 22, 2022
IMSI
Upscaling of Compositional Models for Single-Porosity and Discrete-Fracture-Matrix Systems
Presenter
- Lou Durlofsky
April 5, 2017
IPAM
Artificial intelligence with uncertainty quantification can plug gaps in climate science and inform multi sector resilience
Presenter
- Auroop Ganguly
October 31, 2022
IMSI
Accelerated Parametric Uncertainty Quantification and Optimal Data Acquisition in an Idealized Global Atmosphere Model
Presenter
- Oliver Dunbar
October 31, 2022
IMSI
Scalable Uncertainty Quantification and Parameter Estimation for High-Dimensional Environmental and Biological Systems
Presenter
- Guang Lin
October 9, 2012
ICERM
John Jakeman - Forward Uncertainty Quantification - IPAM at UCLA
Presenter
- John Jakeman
March 11, 2026
IPAM
Tim Wildey - Inverse Uncertainty Quantification with PyApprox - IPAM at UCLA
Presenter
- Tim Wildey
March 11, 2026
IPAM
