{"id":"https://openalex.org/W3002209947","doi":"https://doi.org/10.1109/isit44484.2020.9174097","title":"Pruning Neural Belief Propagation Decoders","display_name":"Pruning Neural Belief Propagation Decoders","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3002209947","doi":"https://doi.org/10.1109/isit44484.2020.9174097","mag":"3002209947"},"language":"en","primary_location":{"id":"doi:10.1109/isit44484.2020.9174097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit44484.2020.9174097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2001.07464","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033087689","display_name":"Andreas Buchberger","orcid":"https://orcid.org/0000-0001-8555-9134"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Andreas Buchberger","raw_affiliation_strings":["Chalmers University of Technology,Department of Electrical Engineering,Gothenburg,Sweden,SE\u2013412 96","Chalmers University of Technology,Dept. of Electrical Eng.,Gothenburg,Sweden,SE-412 96"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology,Department of Electrical Engineering,Gothenburg,Sweden,SE\u2013412 96","institution_ids":["https://openalex.org/I66862912"]},{"raw_affiliation_string":"Chalmers University of Technology,Dept. of Electrical Eng.,Gothenburg,Sweden,SE-412 96","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017892747","display_name":"Christian H\u00e4ger","orcid":"https://orcid.org/0000-0002-5155-8018"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Christian H\u00e4ger","raw_affiliation_strings":["Chalmers University of Technology,Department of Electrical Engineering,Gothenburg,Sweden,SE\u2013412 96","Chalmers University of Technology,Dept. of Electrical Eng.,Gothenburg,Sweden,SE-412 96"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology,Department of Electrical Engineering,Gothenburg,Sweden,SE\u2013412 96","institution_ids":["https://openalex.org/I66862912"]},{"raw_affiliation_string":"Chalmers University of Technology,Dept. of Electrical Eng.,Gothenburg,Sweden,SE-412 96","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034044119","display_name":"Henry D. Pfister","orcid":"https://orcid.org/0000-0001-5521-4397"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Henry D. Pfister","raw_affiliation_strings":["Duke University,Department of Electrical and Computer Engineering,Durham,North Carolina,USA","Duke University, Department of Electrical and Computer Engineering, Durham, North Carolina, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Duke University,Department of Electrical and Computer Engineering,Durham,North Carolina,USA","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Duke University, Department of Electrical and Computer Engineering, Durham, North Carolina, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053280913","display_name":"Laurent Schmalen","orcid":"https://orcid.org/0000-0002-1459-9128"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Laurent Schmalen","raw_affiliation_strings":["Karlsruhe Institute of Technology (KIT),Communications Engineering Lab,Karlsruhe,Germany,76131"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology (KIT),Communications Engineering Lab,Karlsruhe,Germany,76131","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014522913","display_name":"Alexandre Graell i Amat","orcid":"https://orcid.org/0000-0002-5725-869X"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Alexandre Graell Amat","raw_affiliation_strings":["Chalmers University of Technology,Department of Electrical Engineering,Gothenburg,Sweden,SE\u2013412 96","Chalmers University of Technology,Dept. of Electrical Eng.,Gothenburg,Sweden,SE-412 96"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology,Department of Electrical Engineering,Gothenburg,Sweden,SE\u2013412 96","institution_ids":["https://openalex.org/I66862912"]},{"raw_affiliation_string":"Chalmers University of Technology,Dept. of Electrical Eng.,Gothenburg,Sweden,SE-412 96","institution_ids":["https://openalex.org/I66862912"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.02332073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"338","last_page":"342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9998999834060669,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9993000030517578,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9969000220298767,"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":0.8856315612792969},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.858157753944397},{"id":"https://openalex.org/keywords/parity-check-matrix","display_name":"Parity-check matrix","score":0.6517798900604248},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6012101769447327},{"id":"https://openalex.org/keywords/tanner-graph","display_name":"Tanner graph","score":0.5575841665267944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5541889071464539},{"id":"https://openalex.org/keywords/low-density-parity-check-code","display_name":"Low-density parity-check code","score":0.5442554950714111},{"id":"https://openalex.org/keywords/parity","display_name":"Parity (physics)","score":0.5357868671417236},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5343526601791382},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5171808004379272},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4589243233203888},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.42039719223976135},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34643441438674927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28412285447120667},{"id":"https://openalex.org/keywords/error-floor","display_name":"Error floor","score":0.0760626494884491}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.8856315612792969},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.858157753944397},{"id":"https://openalex.org/C95925971","wikidata":"https://www.wikidata.org/wiki/Q3100414","display_name":"Parity-check matrix","level":4,"score":0.6517798900604248},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6012101769447327},{"id":"https://openalex.org/C87117866","wikidata":"https://www.wikidata.org/wiki/Q7683664","display_name":"Tanner graph","level":5,"score":0.5575841665267944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5541889071464539},{"id":"https://openalex.org/C67692717","wikidata":"https://www.wikidata.org/wiki/Q187444","display_name":"Low-density parity-check code","level":3,"score":0.5442554950714111},{"id":"https://openalex.org/C2777151079","wikidata":"https://www.wikidata.org/wiki/Q141160","display_name":"Parity (physics)","level":2,"score":0.5357868671417236},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5343526601791382},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5171808004379272},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4589243233203888},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.42039719223976135},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34643441438674927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28412285447120667},{"id":"https://openalex.org/C46462455","wikidata":"https://www.wikidata.org/wiki/Q5395712","display_name":"Error floor","level":4,"score":0.0760626494884491},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C109214941","wikidata":"https://www.wikidata.org/wiki/Q18334","display_name":"Particle physics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/isit44484.2020.9174097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit44484.2020.9174097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2001.07464","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2001.07464","pdf_url":"https://arxiv.org/pdf/2001.07464","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3002209947","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2001.07464.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:research.chalmers.se:519132","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/519132","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:research.chalmers.se:527689","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/7b792084-594c-4c04-8461-54fa772af47d","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"doi:10.48550/arxiv.2001.07464","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2001.07464","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2001.07464","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2001.07464","pdf_url":"https://arxiv.org/pdf/2001.07464","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3002209947.pdf","grobid_xml":"https://content.openalex.org/works/W3002209947.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W2077814477","https://openalex.org/W2115929510","https://openalex.org/W2140124864","https://openalex.org/W2157720168","https://openalex.org/W2666368276","https://openalex.org/W2963408536","https://openalex.org/W2964121744","https://openalex.org/W2964292940","https://openalex.org/W2976077638","https://openalex.org/W6631190155","https://openalex.org/W6732704488"],"related_works":["https://openalex.org/W3080746295","https://openalex.org/W3107899157","https://openalex.org/W2357010642","https://openalex.org/W2010303399","https://openalex.org/W2165839667","https://openalex.org/W1975894023","https://openalex.org/W2350834058","https://openalex.org/W2042522304","https://openalex.org/W2605685427","https://openalex.org/W2060592722","https://openalex.org/W2165548383","https://openalex.org/W2357537191","https://openalex.org/W2138131074","https://openalex.org/W2347638515","https://openalex.org/W2110288531","https://openalex.org/W1976787991","https://openalex.org/W1966517590","https://openalex.org/W2381954333","https://openalex.org/W2153118538","https://openalex.org/W2521082822"],"abstract_inverted_index":{"We":[0,62],"consider":[1,63],"near":[2],"maximum-likelihood":[3],"(ML)":[4],"decoding":[5,17,58,83],"of":[6,73,76,124,132],"short":[7,113],"linear":[8],"block":[9],"codes":[10],"based":[11],"on":[12],"neural":[13],"belief":[14],"propagation":[15],"(BP)":[16],"recently":[18],"introduced":[19],"by":[20],"Nachmani":[21],"et":[22],"al..":[23],"While":[24],"this":[25,43],"method":[26,48],"significantly":[27],"outperforms":[28],"conventional":[29],"BP":[30,57],"decoding,":[31],"the":[32,39,64,67,74,77,92,99,125,130,133],"underlying":[33],"parity-check":[34,53,105,115],"matrix":[35,54,106],"may":[36],"still":[37],"limit":[38],"overall":[40],"performance.":[41],"In":[42],"paper,":[44],"we":[45,117],"introduce":[46],"a":[47,103],"to":[49,55,82,87],"tailor":[50],"an":[51,71],"overcomplete":[52],"(neural)":[56],"using":[59],"machine":[60],"learning.":[61],"weights":[65],"in":[66,107],"Tanner":[68],"graph":[69],"as":[70],"indication":[72],"importance":[75],"connected":[78],"check":[79],"nodes":[80],"(CNs)":[81],"and":[84,112,122],"use":[85],"them":[86],"prune":[88],"unimportant":[89],"CNs.":[90],"As":[91],"pruning":[93],"is":[94],"not":[95],"tied":[96],"over":[97],"iterations,":[98],"final":[100],"decoder":[101],"uses":[102],"different":[104],"each":[108],"iteration.":[109],"For":[110],"ReedMuller":[111],"low-density":[114],"codes,":[116],"achieve":[118],"performance":[119,127],"within":[120],"0.27dB":[121],"1.5dB":[123],"ML":[126],"while":[128],"reducing":[129],"complexity":[131],"decoder.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
