{"id":"https://openalex.org/W4289655455","doi":"https://doi.org/10.1109/isit50566.2022.9834599","title":"Interpreting Deep-Learned Error-Correcting Codes","display_name":"Interpreting Deep-Learned Error-Correcting Codes","publication_year":2022,"publication_date":"2022-06-26","ids":{"openalex":"https://openalex.org/W4289655455","doi":"https://doi.org/10.1109/isit50566.2022.9834599"},"language":"en","primary_location":{"id":"doi:10.1109/isit50566.2022.9834599","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834599","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Information Theory (ISIT)","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/A5079658437","display_name":"Natasha Devroye","orcid":"https://orcid.org/0000-0002-1619-4095"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"N. Devroye","raw_affiliation_strings":["University of Illinois at Chicago,Chicago,IL,USA","University of Illinois at Chicago, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago,Chicago,IL,USA","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008301868","display_name":"Neshat Mohammadi","orcid":null},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"N. Mohammadi","raw_affiliation_strings":["University of Illinois at Chicago,Chicago,IL,USA","University of Illinois at Chicago, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago,Chicago,IL,USA","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111132207","display_name":"A. Mulgund","orcid":null},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Mulgund","raw_affiliation_strings":["University of Illinois at Chicago,Chicago,IL,USA","University of Illinois at Chicago, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago,Chicago,IL,USA","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026683399","display_name":"Harish Naik","orcid":"https://orcid.org/0000-0002-1420-2688"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Naik","raw_affiliation_strings":["University of Illinois at Chicago,Chicago,IL,USA","University of Illinois at Chicago, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago,Chicago,IL,USA","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048823544","display_name":"R. Shekhar","orcid":null},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Shekhar","raw_affiliation_strings":["University of Illinois at Chicago,Chicago,IL,USA","University of Illinois at Chicago, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago,Chicago,IL,USA","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029977577","display_name":"Gy. Turan","orcid":null},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]},{"id":"https://openalex.org/I4210152167","display_name":"MTA-SZTE Research Group on Artificial Intelligence","ror":"https://ror.org/0507fk326","country_code":"HU","type":"facility","lineage":["https://openalex.org/I227486990","https://openalex.org/I4210152167","https://openalex.org/I7597260"]}],"countries":["HU","US"],"is_corresponding":false,"raw_author_name":"Gy. Tur\u00e1n","raw_affiliation_strings":["University of Illinois at Chicago,Chicago,IL,USA","University of Illinois at Chicago, Chicago, IL, USA","MTA-SZTE Research Group on Artificial Intelligence, ELRN, Szeged, Hungary"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago,Chicago,IL,USA","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"MTA-SZTE Research Group on Artificial Intelligence, ELRN, Szeged, Hungary","institution_ids":["https://openalex.org/I4210152167"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101660807","display_name":"Wei Y","orcid":"https://orcid.org/0000-0002-8187-4011"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Y. Wei","raw_affiliation_strings":["University of Illinois at Chicago,Chicago,IL,USA","University of Illinois at Chicago, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago,Chicago,IL,USA","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062331167","display_name":"Milo\u0161 \u017defran","orcid":"https://orcid.org/0000-0001-9558-3656"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. \u017defran","raw_affiliation_strings":["University of Illinois at Chicago,Chicago,IL,USA","University of Illinois at Chicago, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago,Chicago,IL,USA","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5079658437"],"corresponding_institution_ids":["https://openalex.org/I39422238"],"apc_list":null,"apc_paid":null,"fwci":1.1538,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.80215179,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2457","last_page":"2462"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9990000128746033,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9990000128746033,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9983999729156494,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9962999820709229,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8022003173828125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7204387784004211},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6231244802474976},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5382691621780396},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.5246396660804749},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5052943825721741},{"id":"https://openalex.org/keywords/coding-theory","display_name":"Coding theory","score":0.5046678781509399},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.47449493408203125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4605495035648346},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4558698832988739},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4387492537498474},{"id":"https://openalex.org/keywords/turbo-code","display_name":"Turbo code","score":0.4129483103752136},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32965195178985596},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.21359524130821228},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15761718153953552}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8022003173828125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7204387784004211},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6231244802474976},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5382691621780396},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.5246396660804749},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5052943825721741},{"id":"https://openalex.org/C113709454","wikidata":"https://www.wikidata.org/wiki/Q602136","display_name":"Coding theory","level":2,"score":0.5046678781509399},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.47449493408203125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4605495035648346},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4558698832988739},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4387492537498474},{"id":"https://openalex.org/C114504821","wikidata":"https://www.wikidata.org/wiki/Q2164281","display_name":"Turbo code","level":3,"score":0.4129483103752136},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32965195178985596},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.21359524130821228},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15761718153953552},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit50566.2022.9834599","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834599","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1536930200","https://openalex.org/W1607198972","https://openalex.org/W1844880966","https://openalex.org/W1997855358","https://openalex.org/W2027528470","https://openalex.org/W2043819676","https://openalex.org/W2043836864","https://openalex.org/W2045407304","https://openalex.org/W2073966617","https://openalex.org/W2102251435","https://openalex.org/W2129341461","https://openalex.org/W2130667616","https://openalex.org/W2242464395","https://openalex.org/W2242818861","https://openalex.org/W2769478807","https://openalex.org/W2951934944","https://openalex.org/W2963622214","https://openalex.org/W2970647284","https://openalex.org/W2970958841","https://openalex.org/W2970982053","https://openalex.org/W3004537778","https://openalex.org/W3015658753","https://openalex.org/W3016970793","https://openalex.org/W3022249012","https://openalex.org/W3047546935","https://openalex.org/W3102754027","https://openalex.org/W3196864093","https://openalex.org/W4244017002","https://openalex.org/W4287125091","https://openalex.org/W4289655455","https://openalex.org/W4295262505","https://openalex.org/W4298156428","https://openalex.org/W4298227433","https://openalex.org/W6657410821","https://openalex.org/W6690026940","https://openalex.org/W6693397755","https://openalex.org/W6767478059","https://openalex.org/W6786759207","https://openalex.org/W6795810272"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2209506458","https://openalex.org/W2140479584","https://openalex.org/W2490525272","https://openalex.org/W428659122"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"has":[2],"been":[3],"used":[4],"recently":[5],"to":[6,85,117],"learn":[7],"error-correcting":[8],"encoders":[9,23,90,112],"and":[10,24,29,40,67,104],"decoders":[11,25,116],"which":[12],"may":[13],"improve":[14],"upon":[15],"previously":[16],"known":[17],"codes":[18,50],"in":[19],"certain":[20],"regimes.":[21],"The":[22],"are":[26],"learned":[27],"\"black-boxes\",":[28],"interpreting":[30],"their":[31],"behavior":[32],"is":[33,64],"of":[34,91],"interest":[35],"both":[36],"for":[37,41,56],"further":[38],"applications":[39],"incorporating":[42],"this":[43],"work":[44],"into":[45],"coding":[46,62],"theory.":[47],"Understanding":[48],"these":[49],"provides":[51],"a":[52,65],"compelling":[53],"case":[54],"study":[55],"Explainable":[57],"Artificial":[58],"Intelligence":[59],"(XAI):":[60],"since":[61],"theory":[63],"well-developed":[66],"quantitative":[68],"field,":[69],"the":[70,87,109,118],"interpretability":[71,83],"problems":[72],"that":[73],"arise":[74],"differ":[75],"from":[76],"those":[77],"traditionally":[78],"considered.":[79],"We":[80,107],"develop":[81],"post-hoc":[82],"techniques":[84],"analyze":[86],"deep-learned,":[88],"autoencoder-based":[89],"TurboAE-binary":[92],"codes,":[93],"using":[94],"influence":[95],"heatmaps,":[96],"mixed":[97],"integer":[98],"linear":[99],"programming":[100],"(MILP),":[101],"Fourier":[102],"analysis,":[103],"property":[105],"testing.":[106],"compare":[108],"learned,":[110],"interpretable":[111],"combined":[113],"with":[114],"BCJR":[115],"original":[119],"black-box":[120],"code.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-14T06:41:57.775601","created_date":"2025-10-10T00:00:00"}
