{"id":"https://openalex.org/W2860469798","doi":"https://doi.org/10.1109/itw.2018.8613440","title":"A Neural Network Lattice Decoding Algorithm","display_name":"A Neural Network Lattice Decoding Algorithm","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2860469798","doi":"https://doi.org/10.1109/itw.2018.8613440","mag":"2860469798"},"language":"en","primary_location":{"id":"doi:10.1109/itw.2018.8613440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw.2018.8613440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Information Theory Workshop (ITW)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006707476","display_name":"Mohammad\u2010Reza Sadeghi","orcid":"https://orcid.org/0000-0002-7676-4168"},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Mohammad-Reza Sadeghi","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, Amirkabir University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, Amirkabir University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013665111","display_name":"Farzane Amirzade","orcid":"https://orcid.org/0000-0002-8665-7921"},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Farzane Amirzade","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, Amirkabir University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, Amirkabir University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017417125","display_name":"Daniel Panario","orcid":"https://orcid.org/0000-0003-3551-4063"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Daniel Panario","raw_affiliation_strings":["School of Mathematics and Statistics Carleton University, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics Carleton University, Ottawa, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057144969","display_name":"Amin Sakzad","orcid":"https://orcid.org/0000-0003-4569-3384"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Amin Sakzad","raw_affiliation_strings":["Clayton School of IT, Monash University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"Clayton School of IT, Monash University, Melbourne, Australia","institution_ids":["https://openalex.org/I56590836"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006707476"],"corresponding_institution_ids":["https://openalex.org/I158248296"],"apc_list":null,"apc_paid":null,"fwci":0.1629,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.57722622,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11130","display_name":"Coding theory and cryptography","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11130","display_name":"Coding theory and cryptography","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.807856559753418},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7629979252815247},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6994643211364746},{"id":"https://openalex.org/keywords/berlekamp\u2013welch-algorithm","display_name":"Berlekamp\u2013Welch algorithm","score":0.687258243560791},{"id":"https://openalex.org/keywords/sequential-decoding","display_name":"Sequential decoding","score":0.5902008414268494},{"id":"https://openalex.org/keywords/low-density-parity-check-code","display_name":"Low-density parity-check code","score":0.5745940804481506},{"id":"https://openalex.org/keywords/list-decoding","display_name":"List decoding","score":0.5642555952072144},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5496153831481934},{"id":"https://openalex.org/keywords/parity-check-matrix","display_name":"Parity-check matrix","score":0.5180909037590027},{"id":"https://openalex.org/keywords/code-word","display_name":"Code word","score":0.4969017803668976},{"id":"https://openalex.org/keywords/tanner-graph","display_name":"Tanner graph","score":0.4561741352081299},{"id":"https://openalex.org/keywords/concatenated-error-correction-code","display_name":"Concatenated error correction code","score":0.2153986394405365},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.1492551565170288},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11243143677711487},{"id":"https://openalex.org/keywords/error-floor","display_name":"Error floor","score":0.09793210029602051}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.807856559753418},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7629979252815247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6994643211364746},{"id":"https://openalex.org/C132727834","wikidata":"https://www.wikidata.org/wiki/Q4892328","display_name":"Berlekamp\u2013Welch algorithm","level":5,"score":0.687258243560791},{"id":"https://openalex.org/C193969084","wikidata":"https://www.wikidata.org/wiki/Q7452500","display_name":"Sequential decoding","level":4,"score":0.5902008414268494},{"id":"https://openalex.org/C67692717","wikidata":"https://www.wikidata.org/wiki/Q187444","display_name":"Low-density parity-check code","level":3,"score":0.5745940804481506},{"id":"https://openalex.org/C204397858","wikidata":"https://www.wikidata.org/wiki/Q4437907","display_name":"List decoding","level":5,"score":0.5642555952072144},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5496153831481934},{"id":"https://openalex.org/C95925971","wikidata":"https://www.wikidata.org/wiki/Q3100414","display_name":"Parity-check matrix","level":4,"score":0.5180909037590027},{"id":"https://openalex.org/C153207627","wikidata":"https://www.wikidata.org/wiki/Q863873","display_name":"Code word","level":3,"score":0.4969017803668976},{"id":"https://openalex.org/C87117866","wikidata":"https://www.wikidata.org/wiki/Q7683664","display_name":"Tanner graph","level":5,"score":0.4561741352081299},{"id":"https://openalex.org/C78944582","wikidata":"https://www.wikidata.org/wiki/Q5158264","display_name":"Concatenated error correction code","level":4,"score":0.2153986394405365},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.1492551565170288},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11243143677711487},{"id":"https://openalex.org/C46462455","wikidata":"https://www.wikidata.org/wiki/Q5395712","display_name":"Error floor","level":4,"score":0.09793210029602051}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itw.2018.8613440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw.2018.8613440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Information Theory Workshop (ITW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1995990042","https://openalex.org/W2021290382","https://openalex.org/W2078433673","https://openalex.org/W2116631972","https://openalex.org/W2124524819","https://openalex.org/W2144099979","https://openalex.org/W2160130902","https://openalex.org/W2666368276","https://openalex.org/W2809942681","https://openalex.org/W2963408536","https://openalex.org/W2964282143","https://openalex.org/W2964286327","https://openalex.org/W4292408570","https://openalex.org/W6752783661"],"related_works":["https://openalex.org/W4302175014","https://openalex.org/W2952823298","https://openalex.org/W2028976748","https://openalex.org/W2366145624","https://openalex.org/W2085052822","https://openalex.org/W2099880008","https://openalex.org/W2160839632","https://openalex.org/W1978153242","https://openalex.org/W2118148379","https://openalex.org/W2159333237"],"abstract_inverted_index":{"Neural":[0],"network":[1,43,68,95],"decoding":[2,21,44,70,102,129,208],"algorithms":[3,22,28,103,130],"are":[4,168],"recently":[5],"introduced":[6],"by":[7,185],"Nachmani":[8,106],"et":[9,107],"al.":[10,108],"to":[11,38,73,105,155],"decode":[12,74],"high-density":[13,160],"parity-check":[14,161],"(HDPC)":[15],"codes.":[16],"In":[17,59],"contrast":[18],"with":[19,120],"iterative":[20,128],"such":[23],"as":[24],"sum-product":[25],"or":[26],"min-sum":[27],"in":[29,40,55,170],"which":[30,125,152,167],"the":[31,41,46,56,90,126,197,202],"weight":[32,47],"of":[33,48,92,137,144,172,192,205],"each":[34],"edge":[35,50],"is":[36,141],"set":[37],"1,":[39],"neural":[42,67,94],"algorithms,":[45],"every":[49],"depends":[51],"on":[52,78,165],"its":[53],"impact":[54],"transmitted":[57],"codeword.":[58],"this":[60],"paper,":[61],"we":[62,163],"provide":[63],"a":[64,116,178],"novel":[65],"feed-forward":[66,93],"lattice":[69,119],"algorithm":[71,140],"suitable":[72],"lattices":[75],"constructed":[76],"based":[77],"Construction":[79,117],"A,":[80],"whose":[81],"underlying":[82,122],"codes":[83,98],"have":[84],"HDPC":[85,97,121],"matrices.":[86],"We":[87,109],"first":[88],"establish":[89],"concept":[91],"for":[96,115,124,149,159],"and":[99,146,174,200],"improve":[100],"their":[101],"compared":[104],"then":[110],"apply":[111],"our":[112,138,206],"proposed":[113,139,207],"decoder":[114],"A":[118],"code,":[123],"well-known":[127],"show":[131],"poor":[132],"performances.":[133],"The":[134],"main":[135],"advantage":[136],"that":[142],"instead":[143,191],"assigning":[145],"training":[147,198],"weights":[148],"all":[150],"edges,":[151],"turns":[153],"out":[154],"be":[156],"time-consuming":[157],"especially":[158],"matrices,":[162],"concentrate":[164],"edges":[166],"present":[169],"most":[171],"4-cycles":[173],"removing":[175],"them":[176],"gives":[177],"girth":[179],"-6":[180],"Tanner":[181],"graph.":[182],"This":[183],"approach,":[184],"slight":[186],"modifications":[187],"using":[188],"updated":[189],"LLRs":[190],"initial":[193],"ones,":[194],"simultaneously":[195],"accelerates":[196],"process":[199],"improves":[201],"error":[203],"performance":[204],"algorithm.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}