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Sampling for Linear-Gaussian Inverse Problems (is faster than regularized inversion)
Presenter
- Colin Fox
June 19, 2015
IMA
A map-based approach to Bayesian inference in inverse problems
Presenter
- Youssef Marzouk
June 8, 2011
IMA
Tingwei Meng - Bayesian sampler for inverse problems of a stochastic process by leveraging HJ PDEs
Presenter
- Tingwei Meng
July 17, 2025
IPAM
Adaptive Approximations and Dimension Reduction for Bayesian Inference in Partial Differential Equations
Presenter
- Youssef Marzouk
January 18, 2013
IMA
Inverse Problems in Medical Imaging and Computer Vision
Presenter
- Allen Tannenbaum
March 15, 2016
IMA
Bayesian Uncertainty Quantification for Subsurface Inversion using Multiscale Hierarchical Model
Presenter
- Bani Mallick
June 9, 2011
IMA
The joint power of deterministic and Bayesian approaches for seismic inverse problems
Presenter
- Yunan Yang
April 22, 2020
IPAM
Inverse problems: From regularization to Bayesian inference
Presenter
- Daniela Calvetti
September 6, 2017
IMA
Computationally efficient uncertainty quantification for sparse Bayesian learning
Presenter
- Jan Glaubitz
May 8, 2025
ICERM
Scalable approximations for A- and D-optimal OED in data assimilation problems
Presenter
- Tan Bui-Thanh
September 8, 2017
IMA
Sequential Bayesian Inference for Uncertainty Quantification of Biological Systems
Presenter
- Andrea Arnold
May 7, 2025
ICERM
Scalable algorithms for optimal training data for Bayesian inference of large scale models
Presenter
- Omar Ghattas
September 27, 2018
IPAM