Sparse Variational Bayesian Approximations for Nonlinear Inverse
Problems: applications in nonlinear elastography

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Sparse Variational Bayesian Approximations for Nonlinear Inverse Problems: applications in nonlinear elastography

1 December 2014

P. Koutsourelakis

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Papers citing "Sparse Variational Bayesian Approximations for Nonlinear Inverse Problems: applications in nonlinear elastography"

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Title
Sparse Polynomial Chaos expansions using Variational Relevance Vector Machines Panagiotis Tsilifis I. Papaioannou D. Štraub F. Nobile 119 19 0 23 Dec 2019
Adaptive particle-based approximations of the Gibbs posterior for inverse problems Z. Zou S. Mukherjee Harbir Antil W. Aquino 41 6 0 02 Jul 2019
Beyond black-boxes in Bayesian inverse problems and model validation: applications in solid mechanics of elastography L. Bruder P. Koutsourelakis MedIm AI4CE 42 9 0 02 Mar 2018
Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: application to urban drainage simulation J. Nagel J. Rieckermann Bruno Sudret 37 65 0 11 Sep 2017
Multimodal, high-dimensional, model-based, Bayesian inverse problems with applications in biomechanics F. Monmont P. Koutsourelakis 63 17 0 14 Dec 2015