{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T03:37:56Z","timestamp":1770349076142,"version":"3.49.0"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000780","name":"European Commission through the H2020 project Hexa-X","doi-asserted-by":"publisher","award":["101015956"],"award-info":[{"award-number":["101015956"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Commun."],"published-print":{"date-parts":[[2022,11]]},"DOI":"10.1109\/tcomm.2022.3208331","type":"journal-article","created":{"date-parts":[[2022,9,21]],"date-time":"2022-09-21T19:27:32Z","timestamp":1663788452000},"page":"7250-7264","source":"Crossref","is-referenced-by-count":15,"title":["Neural Belief Propagation Auto-Encoder for Linear Block Code Design"],"prefix":"10.1109","volume":"70","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1989-4246","authenticated-orcid":false,"given":"Guillaume","family":"Larue","sequence":"first","affiliation":[{"name":"Orange Labs, Meylan, France"}]},{"given":"Louis-Adrien","family":"Dufrene","sequence":"additional","affiliation":[{"name":"Orange Labs, Meylan, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6996-9739","authenticated-orcid":false,"given":"Quentin","family":"Lampin","sequence":"additional","affiliation":[{"name":"Orange Labs, Meylan, France"}]},{"given":"Hadi","family":"Ghauch","sequence":"additional","affiliation":[{"name":"Institut Polytechnique de Paris, Télécom Paris, Palaiseau, France"}]},{"given":"Ghaya Rekaya-Ben","family":"Othman","sequence":"additional","affiliation":[{"name":"Institut Polytechnique de Paris, Télécom Paris, Palaiseau, France"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3036951"},{"key":"ref38","article-title":"Code design for short blocks: A survey","author":"liva","year":"2016","journal-title":"Proc EuCNC"},{"key":"ref33","author":"hinton","year":"2022","journal-title":"Neural Networks and Machine Learnin"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207581"},{"key":"ref31","article-title":"Binarized neural networks: Training deep neural networks with weights and activations constrained to  or +1 or ?1","author":"courbariaux","year":"2016","journal-title":"arXiv 1602 02830 [cs]"},{"key":"ref30","article-title":"Estimating or propagating gradients through stochastic neurons for conditional computation","author":"bengio","year":"2013","journal-title":"arXiv 1308 3432"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2004.839541"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/18.412683"},{"key":"ref35","author":"helmling","year":"2019","journal-title":"Database of Channel Codes and ML Simulation Results"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.2307\/2685469"},{"key":"ref10","article-title":"Pervasive artificial intelligence in next generation wireless: The Hexa-X project perspective","author":"miltiadis","year":"2022","journal-title":"Proc 1st Int Workshop Artif Intell Beyond 5G 6G Wireless Netw (AIG) Co-Located With IEEE World Congr Comput Intell (WCCI)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/EuCNC\/6GSummit51104.2021.9482479"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2017.2758370"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CISS.2017.7926071"},{"key":"ref14","article-title":"KO codes: Inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning","author":"vardhan makkuva","year":"2021","journal-title":"arXiv 2108 12920"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/GCWkshps50303.2020.9367521"},{"key":"ref16","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC.2019.8815483"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761286"},{"key":"ref19","first-page":"11","article-title":"Turbo autoencoder: Deep learning based channel codes for point-to-point communication channels","author":"jiang","year":"2019","journal-title":"Proc IEEE Conf Neural Inf Process Syst"},{"key":"ref28","first-page":"1","article-title":"Categorical reparameterization with gumbel-softmax","author":"jang","year":"2017","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2017.2788405"},{"key":"ref27","article-title":"Near maximum likelihood decoding with deep learning","author":"nachmani","year":"2018","journal-title":"arXiv 1801 02726"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2005.852852"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT44484.2020.9174097"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992696"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2017.8006751"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2955724"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2019.8849419"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/26.768759"},{"key":"ref9","article-title":"6G white paper on machine learning in wireless communication networks","author":"ali","year":"2020","journal-title":"arXiv 2004 13875"},{"key":"ref1","year":"2016","journal-title":"TSG RAN1 86 and 87 Meetings—Finale Minutes Reports"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ALLERTON.2019.8919804"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1981.1056404"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2942999"},{"key":"ref24","first-page":"558","author":"proakis","year":"2008","journal-title":"Digital Communications"},{"key":"ref23","author":"richardson","year":"2007","journal-title":"Modern Coding Theory"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2009.07.070621"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2004.832776"}],"container-title":["IEEE Transactions on Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/26\/9954236\/09896912.pdf?arnumber=9896912","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,12]],"date-time":"2022-12-12T19:43:58Z","timestamp":1670874238000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9896912\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11]]},"references-count":39,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tcomm.2022.3208331","relation":{},"ISSN":["0090-6778","1558-0857"],"issn-type":[{"value":"0090-6778","type":"print"},{"value":"1558-0857","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11]]}}}