Flow Annealed Kalman Inversion for Gradient-Free Inference in Bayesian Inverse Problems-Reference-Cited by-同舟云学术

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Flow Annealed Kalman Inversion for Gradient-Free Inference in Bayesian Inverse Problems

Published:2024-01-04 Issue: Volume:29 Page:21
ISSN:
Container-title:The 42nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
language:
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Author:

Grumitt Richard D. P.¹^ORCID,Karamanis Minas²³,Seljak Uroš²³

Affiliation:

1. Department of Astronomy, Tsinghua University, Beijing 100084, China

2. Berkeley Center for Cosmological Physics and Department of Physics, University of California, Berkeley, CA 94720, USA

3. Physics Department, Lawrence Berkeley National Laboratory, Cyclotron Rd, Berkeley, CA 94720, USA

Publisher

MDPI

Link

https://www.mdpi.com/2673-9984/9/1/21/pdf

Reference29 articles.

1. Ensemble Kalman methods for inverse problems;Iglesias;Inverse Probl.,2013

2. A regularizing iterative ensemble Kalman method for PDE-constrained inverse problems;Iglesias;Inverse Probl.,2016

3. Analysis of the ensemble Kalman filter for inverse problems;Schillings;SIAM J. Numer. Anal.,2017

4. Parameterizations for ensemble Kalman inversion;Chada;Inverse Probl.,2018

5. Convergence analysis of ensemble Kalman inversion: The linear, noisy case;Schillings;Appl. Anal.,2018

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