{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T05:15:55Z","timestamp":1780636555402,"version":"3.54.1"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"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":[],"published-print":{"date-parts":[[2021,12]]},"DOI":"10.1109\/globecom46510.2021.9685472","type":"proceedings-article","created":{"date-parts":[[2022,2,2]],"date-time":"2022-02-02T21:59:04Z","timestamp":1643839144000},"page":"01-06","source":"Crossref","is-referenced-by-count":7,"title":["Adversarial Neural Networks for Error Correcting Codes"],"prefix":"10.1109","author":[{"given":"Hung T.","family":"Nguyen","sequence":"first","affiliation":[{"name":"Princeton University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Steven","family":"Bottone","sequence":"additional","affiliation":[{"name":"Northrop Grumman Corporation"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kwang Taik","family":"Kim","sequence":"additional","affiliation":[{"name":"Purdue University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mung","family":"Chiang","sequence":"additional","affiliation":[{"name":"Purdue University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"H. Vincent","family":"Poor","sequence":"additional","affiliation":[{"name":"Princeton University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2899805"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2018.8646357"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC.2019.8815519"},{"key":"ref13","first-page":"689","article-title":"Generalized belief propagation","volume":"13","author":"yedidia","year":"2000","journal-title":"Adv in Neural Inf Process Syst"},{"key":"ref14","article-title":"Belief propagation neural networks","author":"kuck","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref15","first-page":"236","article-title":"Understanding belief propagation and its generalizations","volume":"8","author":"yedidia","year":"2003","journal-title":"Exploring Artif Intell in the New Millennium"},{"key":"ref16","first-page":"2672","article-title":"Generative adversarial nets","volume":"27","author":"goodfellow","year":"2014","journal-title":"Adv in Neural Inf Process Syst"},{"key":"ref17","article-title":"Neural enhanced belief propagation on factor graphs","author":"satorras","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2017.2788405"},{"key":"ref3","article-title":"Deep unfolding: Model-based inspiration of novel deep architectures","author":"hershey","year":"2014","journal-title":"ArXiv Preprint"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.2018.8645388"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2017.8006751"},{"key":"ref8","article-title":"DeepSIC: Deep soft inter-ference cancellation for multiuser MIMO detection","author":"shlezinger","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2020.2992488"},{"key":"ref2","first-page":"266","article-title":"Deep unfolding for commu-nications systems: A survey and some new directions","author":"balatsoukas-stimming","year":"0","journal-title":"Proc 2019 IEEE Int Workshop on Signal Process Syst (SiPS)"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC.2019.8815457"},{"key":"ref1","year":"2020","journal-title":"3GPP “5G NR Base Station (BS) radio transmission and re-ception (3GPP TS 38 104 version 16 4 0 Release 16)"}],"event":{"name":"GLOBECOM 2021 - 2021 IEEE Global Communications Conference","location":"Madrid, Spain","start":{"date-parts":[[2021,12,7]]},"end":{"date-parts":[[2021,12,11]]}},"container-title":["2021 IEEE Global Communications Conference (GLOBECOM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9685019\/9685006\/09685472.pdf?arnumber=9685472","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,4]],"date-time":"2022-07-04T20:11:21Z","timestamp":1656965481000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9685472\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/globecom46510.2021.9685472","relation":{},"subject":[],"published":{"date-parts":[[2021,12]]}}}