{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,6]],"date-time":"2026-07-06T20:18:36Z","timestamp":1783369116307,"version":"3.54.6"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"ANR Project &#x201C;Chaire IA Sherlock","award":["ANR-20-CHIA-0031-01"],"award-info":[{"award-number":["ANR-20-CHIA-0031-01"]}]},{"name":"ANR Project &#x201C;Chaire IA Sherlock","award":["ANR-16-IDEX-0004 ULNE"],"award-info":[{"award-number":["ANR-16-IDEX-0004 ULNE"]}]},{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"publisher","award":["EP\/X028860"],"award-info":[{"award-number":["EP\/X028860"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Simons Foundation within the Isaac Newton Programme"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput. Imaging"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/tci.2026.3685151","type":"journal-article","created":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T19:54:49Z","timestamp":1776455689000},"page":"839-849","source":"Crossref","is-referenced-by-count":0,"title":["A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-4480-3541","authenticated-orcid":false,"given":"Maxime","family":"Bouton","sequence":"first","affiliation":[{"name":"CNRS, Centrale Lille, UMR 9189 CRIStAL, University of Lille, Lille, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1246-9458","authenticated-orcid":false,"given":"Pierre-Antoine","family":"Thouvenin","sequence":"additional","affiliation":[{"name":"CNRS, Centrale Lille, UMR 9189 CRIStAL, University of Lille, Lille, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6296-6957","authenticated-orcid":false,"given":"Audrey","family":"Repetti","sequence":"additional","affiliation":[{"name":"School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4377-7584","authenticated-orcid":false,"given":"Pierre","family":"Chainais","sequence":"additional","affiliation":[{"name":"CNRS, Centrale Lille, UMR 9189 CRIStAL, University of Lille, Lille, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"The Bayesian Choice: From Decis.-Theoretic Found. to Comput. Implementation","author":"Robert","year":"2007"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1137\/21M1406313"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1137\/21M1406349"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3520012"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1093\/rasti\/rzae030"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2014.2377273"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-97-6769-4_5"},{"key":"ref8","article-title":"Analysis of primal-dual Langevin algorithms","author":"Burger","year":"2024"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/83.392335"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.2020.1826954"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.2023.2282501"},{"key":"ref12","first-page":"6649","article-title":"Stochastic proximal Langevin algorithm: Potential splitting and nonasymptotic rates","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Salim","year":"2019"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45417-9_1"},{"issue":"1","key":"ref14","first-page":"39","article-title":"Deep learning techniques for inverse problems in imaging","volume-title":"IEEE J. Sel. Areas Inf. Theory","volume":"1","author":"Ongie","year":"2020"},{"key":"ref15","first-page":"945","article-title":"Plug-and-play priors for model based reconstruction","volume-title":"Proc. IEEE Glob. Conf. Signal Inf. Process.","author":"Venkatakrishnan","year":"2013"},{"issue":"10","key":"ref16","first-page":"6360","article-title":"Plug-and-play image restoration with deep denoiser prior","volume-title":"IEEE Trans. Pattern Anal. Mach. Intell.","volume":"44","author":"Zhang","year":"2022"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1137\/23M1581807"},{"key":"ref18","first-page":"3496","article-title":"Plug-and-play split gibbs sampler: Embedding deep generative priors in Bayesian inference","volume-title":"IEEE Trans. Image Process.","volume":"33","author":"Coeurdoux","year":"2024"},{"key":"ref19","first-page":"118389","article-title":"Principled probabilistic imaging using diffusion models as plug-and-play priors","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"37","author":"Wu","year":"2024"},{"key":"ref20","article-title":"The little book of deep learning","author":"Fleuret","year":"2024"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2992934"},{"key":"ref22","article-title":"A survey on diffusion models for inverse problems","author":"Daras","year":"2024"},{"issue":"2","key":"ref23","first-page":"18","article-title":"Algorithm Unrolling: Interpretable, efficient deep learning for signal and image processing","volume-title":"IEEE Signal Process. Mag.","volume":"38","author":"Monga","year":"2021"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO55093.2022.9909564"},{"key":"ref25","first-page":"4475","article-title":"Unfolded proximal neural networks for robust image Gaussian denoising","volume-title":"IEEE Trans. Image Process.","volume":"33","author":"Le","year":"2024"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/SSP64130.2025.11073314"},{"issue":"7","key":"ref27","first-page":"3142","article-title":"Beyond a Gaussian denoiser: Residual learning of deep CNN for image denoising","volume-title":"IEEE Trans. Image Process.","volume":"26","author":"Zhang","year":"2017"},{"key":"ref28","article-title":"Proximit et dualit dans un espace Hilbertien","volume-title":"Bull. de la socit mathmatique de France","volume":"93","author":"Moreau","year":"1965"},{"key":"ref29","article-title":"The science of computing","author":"Eijkhout","year":"2023"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1137\/16M1108340"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/0167-2789(92)90242-F"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s11228-010-0147-7"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-9569-8_10"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139839099"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.15155"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2894825"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1137\/19M1283719"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref39","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2017"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1137\/20M1387961"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.150"},{"issue":"4","key":"ref42","first-page":"600","article-title":"Image quality assessment: From error visibility to structural similarity","volume-title":"IEEE Trans. Image Process.","volume":"13","author":"Wang","year":"2004"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2008.930649"}],"container-title":["IEEE Transactions on Computational Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6745852\/11302051\/11482855.pdf?arnumber=11482855","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,6]],"date-time":"2026-07-06T19:46:29Z","timestamp":1783367189000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11482855\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/tci.2026.3685151","relation":{},"ISSN":["2333-9403","2334-0118","2573-0436"],"issn-type":[{"value":"2333-9403","type":"electronic"},{"value":"2334-0118","type":"electronic"},{"value":"2573-0436","type":"print"}],"subject":[],"published":{"date-parts":[[2026]]}}}