{"id":"https://openalex.org/W2979212783","doi":"https://doi.org/10.1109/ijcnn.2019.8852203","title":"Guessing the Code: Learning Encoding Mappings Using the Back Propagation Algorithm","display_name":"Guessing the Code: Learning Encoding Mappings Using the Back Propagation Algorithm","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2979212783","doi":"https://doi.org/10.1109/ijcnn.2019.8852203","mag":"2979212783"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8852203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","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/A5048546164","display_name":"Amrutha Machireddy","orcid":"https://orcid.org/0000-0002-0374-0624"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Amrutha Machireddy","raw_affiliation_strings":["Department of Electronic Systems Engineering, Indian Institute of Science, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Systems Engineering, Indian Institute of Science, Bengaluru, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055106245","display_name":"Shayan Srinivasa Garani","orcid":"https://orcid.org/0000-0002-2459-1445"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shayan Srinivasa Garani","raw_affiliation_strings":["Department of Electronic Systems Engineering, Indian Institute of Science, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Systems Engineering, Indian Institute of Science, Bengaluru, India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048546164"],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14233916,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9882000088691711,"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"}},{"id":"https://openalex.org/T11130","display_name":"Coding theory and cryptography","score":0.9882000088691711,"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/code-word","display_name":"Code word","score":0.7361965775489807},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7327772974967957},{"id":"https://openalex.org/keywords/tanner-graph","display_name":"Tanner graph","score":0.7005804181098938},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.671231746673584},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6368746757507324},{"id":"https://openalex.org/keywords/low-density-parity-check-code","display_name":"Low-density parity-check code","score":0.5935549736022949},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5512623190879822},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5492427945137024},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5487580299377441},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5319766402244568},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5146564245223999},{"id":"https://openalex.org/keywords/covert","display_name":"Covert","score":0.4610094428062439},{"id":"https://openalex.org/keywords/parity-bit","display_name":"Parity bit","score":0.44504687190055847},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4100741446018219},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2600136697292328},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16848862171173096},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.13057354092597961}],"concepts":[{"id":"https://openalex.org/C153207627","wikidata":"https://www.wikidata.org/wiki/Q863873","display_name":"Code word","level":3,"score":0.7361965775489807},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7327772974967957},{"id":"https://openalex.org/C87117866","wikidata":"https://www.wikidata.org/wiki/Q7683664","display_name":"Tanner graph","level":5,"score":0.7005804181098938},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.671231746673584},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6368746757507324},{"id":"https://openalex.org/C67692717","wikidata":"https://www.wikidata.org/wiki/Q187444","display_name":"Low-density parity-check code","level":3,"score":0.5935549736022949},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5512623190879822},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5492427945137024},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5487580299377441},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5319766402244568},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5146564245223999},{"id":"https://openalex.org/C2779338814","wikidata":"https://www.wikidata.org/wiki/Q5179285","display_name":"Covert","level":2,"score":0.4610094428062439},{"id":"https://openalex.org/C131521367","wikidata":"https://www.wikidata.org/wiki/Q625502","display_name":"Parity bit","level":2,"score":0.44504687190055847},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4100741446018219},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2600136697292328},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16848862171173096},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.13057354092597961},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C46462455","wikidata":"https://www.wikidata.org/wiki/Q5395712","display_name":"Error floor","level":4,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2019.8852203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai::78497","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401702","display_name":"Universitas Pasundan institutional repositories & scientific journals (Universitas Pasundan)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210159629","host_organization_name":"Universitas Pasundan","host_organization_lineage":["https://openalex.org/I4210159629"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1569512666","https://openalex.org/W1971959125","https://openalex.org/W1991133427","https://openalex.org/W2097634141","https://openalex.org/W2131194367","https://openalex.org/W2134160431","https://openalex.org/W2158820208","https://openalex.org/W2164150528","https://openalex.org/W2666368276","https://openalex.org/W2963408536"],"related_works":["https://openalex.org/W2808439818","https://openalex.org/W1968533815","https://openalex.org/W2479327835","https://openalex.org/W2150639697","https://openalex.org/W2126464345","https://openalex.org/W2809536251","https://openalex.org/W2090897912","https://openalex.org/W2351144917","https://openalex.org/W2152494507","https://openalex.org/W2083917443"],"abstract_inverted_index":{"Error":[0],"correction":[1],"codes":[2,10],"such":[3],"as":[4],"low":[5],"density":[6],"parity":[7,122,156],"check":[8,123,157],"(LDPC)":[9],"are":[11,39],"popularly":[12],"used":[13],"to":[14,62,67,85],"enhance":[15],"the":[16,35,69,73,78,87,90,97,104,111,121,131,150,155],"performance":[17],"of":[18,58,75,77,99,106,119,133,148],"digital":[19],"communication":[20],"systems.":[21],"The":[22,55,114],"current":[23],"decoding":[24],"framework":[25],"relies":[26],"on":[27],"exchanging":[28],"beliefs":[29],"over":[30,125,138],"a":[31,64,83,126,134],"Tanner":[32,79],"graph,":[33],"which":[34],"encoder":[36,70,151],"and":[37,103,153],"decoder":[38],"aware":[40],"of.":[41],"However,":[42],"this":[43,59],"information":[44],"may":[45],"not":[46],"be":[47],"available":[48],"readily,":[49],"for":[50,109],"example":[51],"in":[52,72],"covert":[53],"communication.":[54],"main":[56],"idea":[57],"paper":[60],"is":[61,117,145],"build":[63],"neural":[65],"network":[66],"learn":[68,86],"mappings":[71,88,152],"absence":[74],"knowledge":[76],"graph.":[80],"We":[81,94],"propose":[82],"scheme":[84,116],"using":[89],"back":[91],"propagation":[92],"algorithm.":[93],"investigate":[95],"into":[96],"choice":[98],"different":[100],"cost":[101],"functions":[102],"number":[105],"hidden":[107],"neurons":[108],"learning":[110,120,149],"encoding":[112],"function.":[113],"proposed":[115],"capable":[118,147],"equations":[124],"binary":[127],"field":[128],"towards":[129],"identifying":[130,154],"validity":[132],"codeword.":[135],"Simulation":[136],"results":[137],"synthetic":[139],"data":[140],"show":[141],"that":[142],"our":[143],"algorithm":[144],"indeed":[146],"equations.":[158]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
