{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T04:56:14Z","timestamp":1773377774781,"version":"3.50.1"},"reference-count":35,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,6,26]],"date-time":"2022-06-26T00:00:00Z","timestamp":1656201600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,26]],"date-time":"2022-06-26T00:00:00Z","timestamp":1656201600000},"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":[[2022,6,26]]},"DOI":"10.1109\/isit50566.2022.9834818","type":"proceedings-article","created":{"date-parts":[[2022,8,3]],"date-time":"2022-08-03T15:34:22Z","timestamp":1659540862000},"page":"2469-2474","source":"Crossref","is-referenced-by-count":1,"title":["Learning Maximum Margin Channel Decoders for Non-linear Gaussian Channels"],"prefix":"10.1109","author":[{"given":"Amit","family":"Tsvieli","sequence":"first","affiliation":[{"name":"Technion - Israel Institute of Technology,The Viterbi Faculty of Electrical and Computer Engineering"}]},{"given":"Nir","family":"Weinberger","sequence":"additional","affiliation":[{"name":"Technion - Israel Institute of Technology,The Viterbi Faculty of Electrical and Computer Engineering"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273598"},{"key":"ref32","author":"viterbi","year":"2013","journal-title":"Principles of Digital Communication and Coding"},{"key":"ref31","author":"barry","year":"2012","journal-title":"Digital Communication"},{"key":"ref30","article-title":"Learning maximum margin channel decoders","author":"tsvieli","year":"2022"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390273"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7496.003.0003"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT45174.2021.9517790"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2019.8849419"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2019.8849786"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2019.8849215"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC.2019.8815537"},{"key":"ref15","article-title":"Communication algorithms via deep learning","author":"kim","year":"2018"},{"key":"ref16","article-title":"The modern mathematics of deep learning","author":"berner","year":"2021"},{"key":"ref17","article-title":"Generalization bounds and algorithms for learning to communicate over additive noise channels","author":"weinberger","year":"2021","journal-title":"IEEE Transactions on Information Theory"},{"key":"ref18","first-page":"79","article-title":"Learning maximum margin channel decoders for additive noise channels","author":"tsvieli","year":"2022","journal-title":"International Zurich Seminar on Information and Communication (IZS 2022) Proceedings"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1137\/18M1234461"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781107298019"},{"key":"ref4","article-title":"Learning to communicate in a noisy environment","author":"sahai","year":"2019"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/26.297849"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2017.2788405"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC.2019.8815457"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1023\/A:1013637720281"},{"key":"ref5","article-title":"Meta-learning to communicate: Fast end-to-end training for fading channels","author":"park","year":"2019"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CISS.2017.7926071"},{"key":"ref7","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v35i10.17040","article-title":"Doubly residual neural decoder: Towards low-complexity high-performance channel decoding","author":"liao","year":"2021"},{"key":"ref2","article-title":"Deep learning based end-to-end wireless communication systems with conditional GAN as unknown channel","author":"ye","year":"2019"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT44484.2020.9174361"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1109\/TCCN.2017.2758370","article-title":"An introduction to deep learning for the physical layer","volume":"3","author":"o\u2019shea","year":"2017","journal-title":"IEEE Transactions on Cognitive Communications and Networking"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1214\/13-EJS822"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2005.856976"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2005.856980"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2012.6283497"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/18.850705"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/0165-1684(90)90122-F"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JLT.2016.2569073"}],"event":{"name":"2022 IEEE International Symposium on Information Theory (ISIT)","location":"Espoo, Finland","start":{"date-parts":[[2022,6,26]]},"end":{"date-parts":[[2022,7,1]]}},"container-title":["2022 IEEE International Symposium on Information Theory (ISIT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9834325\/9834269\/09834818.pdf?arnumber=9834818","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T20:35:07Z","timestamp":1773347707000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9834818\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,26]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/isit50566.2022.9834818","relation":{},"subject":[],"published":{"date-parts":[[2022,6,26]]}}}