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1512.04481
Cited By

Multimodal, high-dimensional, model-based, Bayesian inverse problems
with applications in biomechanics

v1v2v3 (latest)

Multimodal, high-dimensional, model-based, Bayesian inverse problems with applications in biomechanics

14 December 2015

P. Koutsourelakis

ArXiv (abs)PDF HTML

Papers citing "Multimodal, high-dimensional, model-based, Bayesian inverse problems with applications in biomechanics"

5 / 5 papers shown

Semi-supervised Invertible Neural Operators for Bayesian Inverse
Problems

Semi-supervised Invertible Neural Operators for Bayesian Inverse ProblemsComputational Mechanics (Comput. Mech.), 2022

Sebastian Kaltenbach

P. Koutsourelakis

377

37

0

06 Sep 2022

Sequential Likelihood-Free Inference with Neural Proposal

Sequential Likelihood-Free Inference with Neural Proposal

199

2

0

15 Oct 2020

Likelihood-Free Inference with Deep Gaussian Processes

Likelihood-Free Inference with Deep Gaussian Processes

Alexander Aushev

Markus Heinonen

373

10

0

18 Jun 2020

Bayesian stochastic multi-scale analysis via energy considerations

Bayesian stochastic multi-scale analysis via energy considerationsAdvanced Modeling and Simulation in Engineering Sciences (AMSES), 2019

A. Ibrahimbegovic

114

7

0

06 Dec 2019

Principal component analysis and sparse polynomial chaos expansions for
global sensitivity analysis and model calibration: application to urban
drainage simulation

Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: application to urban drainage simulation

240

75

0

11 Sep 2017

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