{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T12:45:03Z","timestamp":1763037903366,"version":"3.37.3"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Signal Process."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tsp.2023.3289728","type":"journal-article","created":{"date-parts":[[2023,6,28]],"date-time":"2023-06-28T17:32:56Z","timestamp":1687973576000},"page":"2491-2501","source":"Crossref","is-referenced-by-count":3,"title":["Efficient Sampling of Non Log-Concave Posterior Distributions With Mixture of Noises"],"prefix":"10.1109","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5850-6325","authenticated-orcid":false,"given":"Pierre","family":"Palud","sequence":"first","affiliation":[{"name":"CNRS, Centrale Lille, UMR 9189 CRIStAL, University of Lille, Lille, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"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":[{"role":"author","vocabulary":"crossref"}]},{"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":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1532-7818","authenticated-orcid":false,"given":"Emeric","family":"Bron","sequence":"additional","affiliation":[{"name":"LERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne Universit&#x00E9;s, Meudon, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Franck","family":"Le Petit","sequence":"additional","affiliation":[{"name":"LERMA, Observatoire de Paris, PSL Research University, CNRS, Sorbonne Universit&#x00E9;s, Meudon, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1201\/b10905-6"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1998.10473766"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1023\/A:1023562417138"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.9006"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.spl.2014.04.002"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s00180-013-0429-2"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2010.00765.x"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2018.01.004"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1063\/1.1358861"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.2013.778779"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1186\/s13634-020-00675-6"},{"key":"ref33","first-page":"108","article-title":"Distributed and adaptive darting monte carlo through regenerations","author":"ahn","year":"0","journal-title":"Proc 16th Int Conf Artif Intell Statist"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2015.2496908"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1214\/19-AOS1916"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2000.10473908"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10200"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2005.843548"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1017\/S0001867800007151"},{"key":"ref16","first-page":"26","article-title":"Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude","volume":"4","author":"tieleman","year":"2012","journal-title":"COURSERA Neural Netw Mach Learn"},{"key":"ref38","first-page":"324","article-title":"Parallel Gibbs sampling: From colored fields to thin junction trees","author":"gonzalez","year":"0","journal-title":"Proc 14th Int Conf Artif Intell Statist Workshop Conf Proc"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1093\/genetics\/162.4.2025"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO55093.2022.9909559"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.4208\/cicp.310811.090312a"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1080\/00949650802290912"},{"article-title":"Non-linear interpolation learning for example-based inverse problem regularization","year":"2021","author":"bobin","key":"ref23"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1080\/02664760500079464"},{"journal-title":"Numerical Optimization","year":"2006","author":"nocedal","key":"ref26"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s10851-020-00984-3"},{"key":"ref20","doi-asserted-by":"crossref","DOI":"10.1063\/1.4977912","article-title":"Zonal flow generation in inertial confinement fusion implosions","volume":"24","author":"peterson","year":"2017","journal-title":"Phys Plasmas"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.69.066138"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1051\/0004-6361\/201629862"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1088\/2632-2153\/ac3ffa"},{"article-title":"Bayesian optimization: Open source constrained global optimization tool for Python","year":"2014","author":"nogueira","key":"ref44"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1088\/0004-637X\/810\/1\/35"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2015.2494218"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.2307\/2334940"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1063\/1.1699114"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1214\/009053606000000515"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s10851-009-0180-z"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.891803"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-4145-2"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1051\/0004-6361\/201832595"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2009.09.053"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1086\/503252"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1051\/0004-6361\/201832611"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/83.1.95"}],"container-title":["IEEE Transactions on Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/78\/10040758\/10167808.pdf?arnumber=10167808","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,7]],"date-time":"2023-08-07T18:33:08Z","timestamp":1691433188000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10167808\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/tsp.2023.3289728","relation":{},"ISSN":["1053-587X","1941-0476"],"issn-type":[{"type":"print","value":"1053-587X"},{"type":"electronic","value":"1941-0476"}],"subject":[],"published":{"date-parts":[[2023]]}}}