{"id":"https://openalex.org/W4312316972","doi":"https://doi.org/10.1109/iscas48785.2022.9937290","title":"Histogram-Equalized Quantization for logic-gated Residual Neural Networks","display_name":"Histogram-Equalized Quantization for logic-gated Residual Neural Networks","publication_year":2022,"publication_date":"2022-05-28","ids":{"openalex":"https://openalex.org/W4312316972","doi":"https://doi.org/10.1109/iscas48785.2022.9937290"},"language":"en","primary_location":{"id":"doi:10.1109/iscas48785.2022.9937290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937290","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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 Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2501.04517","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102023626","display_name":"Van Thien Nguyen","orcid":"https://orcid.org/0000-0002-0301-3179"},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I3020098449","display_name":"CEA Grenoble","ror":"https://ror.org/02mg6n827","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I3020098449"]},{"id":"https://openalex.org/I4210150049","display_name":"Laboratoire d'\u00c9lectronique des Technologies de l'Information","ror":"https://ror.org/04mf0wv34","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I4210117989","https://openalex.org/I4210150049"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Van Thien Nguyen","raw_affiliation_strings":["CEA-LETI,Grenoble,France,F-38000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEA-LETI,Grenoble,France,F-38000","institution_ids":["https://openalex.org/I4210150049","https://openalex.org/I3020098449","https://openalex.org/I2738703131"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022822165","display_name":"William Guicqu\u00e9ro","orcid":"https://orcid.org/0000-0001-8925-0441"},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I3020098449","display_name":"CEA Grenoble","ror":"https://ror.org/02mg6n827","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I3020098449"]},{"id":"https://openalex.org/I4210150049","display_name":"Laboratoire d'\u00c9lectronique des Technologies de l'Information","ror":"https://ror.org/04mf0wv34","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I4210117989","https://openalex.org/I4210150049"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"William Guicquero","raw_affiliation_strings":["CEA-LETI,Grenoble,France,F-38000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEA-LETI,Grenoble,France,F-38000","institution_ids":["https://openalex.org/I4210150049","https://openalex.org/I3020098449","https://openalex.org/I2738703131"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110936990","display_name":"Gilles Sicard","orcid":null},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I3020098449","display_name":"CEA Grenoble","ror":"https://ror.org/02mg6n827","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I3020098449"]},{"id":"https://openalex.org/I4210150049","display_name":"Laboratoire d'\u00c9lectronique des Technologies de l'Information","ror":"https://ror.org/04mf0wv34","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I4210117989","https://openalex.org/I4210150049"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gilles Sicard","raw_affiliation_strings":["CEA-LETI,Grenoble,France,F-38000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEA-LETI,Grenoble,France,F-38000","institution_ids":["https://openalex.org/I4210150049","https://openalex.org/I3020098449","https://openalex.org/I2738703131"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102023626"],"corresponding_institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I3020098449","https://openalex.org/I4210150049"],"apc_list":null,"apc_paid":null,"fwci":0.1181,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.43441227,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1289","last_page":"1293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9973000288009644,"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/T12676","display_name":"Machine Learning and ELM","score":0.9940000176429749,"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/quantization","display_name":"Quantization (signal processing)","score":0.7959412336349487},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6735721230506897},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6433417201042175},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5831982493400574},{"id":"https://openalex.org/keywords/residual-neural-network","display_name":"Residual neural network","score":0.5054397583007812},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4851177930831909},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4719513952732086},{"id":"https://openalex.org/keywords/linde\u2013buzo\u2013gray-algorithm","display_name":"Linde\u2013Buzo\u2013Gray algorithm","score":0.4147205948829651},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4019470512866974},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39142346382141113}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7959412336349487},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6735721230506897},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6433417201042175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5831982493400574},{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.5054397583007812},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4851177930831909},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4719513952732086},{"id":"https://openalex.org/C93372532","wikidata":"https://www.wikidata.org/wiki/Q6552455","display_name":"Linde\u2013Buzo\u2013Gray algorithm","level":3,"score":0.4147205948829651},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4019470512866974},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39142346382141113},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iscas48785.2022.9937290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937290","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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 Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2501.04517","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2501.04517","pdf_url":"https://arxiv.org/pdf/2501.04517","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:HAL:cea-04556166v1","is_oa":true,"landing_page_url":"https://cea.hal.science/cea-04556166","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://ieeexplore.ieee.org/document/9937290","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2501.04517","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2501.04517","pdf_url":"https://arxiv.org/pdf/2501.04517","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312316972.pdf","grobid_xml":"https://content.openalex.org/works/W4312316972.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1991973578","https://openalex.org/W1995875735","https://openalex.org/W1999085092","https://openalex.org/W2118858186","https://openalex.org/W2194775991","https://openalex.org/W2242818861","https://openalex.org/W2291160084","https://openalex.org/W2319920447","https://openalex.org/W2405920868","https://openalex.org/W2469490737","https://openalex.org/W2524428287","https://openalex.org/W2557257847","https://openalex.org/W2560017826","https://openalex.org/W2746314669","https://openalex.org/W2884150179","https://openalex.org/W2887447938","https://openalex.org/W2895531329","https://openalex.org/W2916954108","https://openalex.org/W2962962672","https://openalex.org/W2963495494","https://openalex.org/W2995329031","https://openalex.org/W2999093589","https://openalex.org/W3001133453","https://openalex.org/W3024007870","https://openalex.org/W3034921082","https://openalex.org/W3044387456","https://openalex.org/W3048617363","https://openalex.org/W3090334624","https://openalex.org/W3118608800","https://openalex.org/W3157383824","https://openalex.org/W3159072220","https://openalex.org/W3171689473","https://openalex.org/W3173877717","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6677919164","https://openalex.org/W6690026940","https://openalex.org/W6696798448","https://openalex.org/W6700264148","https://openalex.org/W6714058667","https://openalex.org/W6720242923","https://openalex.org/W6727208969","https://openalex.org/W6730047919","https://openalex.org/W6730061913","https://openalex.org/W6743428213","https://openalex.org/W6760069825","https://openalex.org/W6771595542","https://openalex.org/W6772230660","https://openalex.org/W6786271619","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W3196952692","https://openalex.org/W2984708981","https://openalex.org/W2755231872","https://openalex.org/W4300939921","https://openalex.org/W4383097772","https://openalex.org/W2964350391","https://openalex.org/W2274287116","https://openalex.org/W2013302385","https://openalex.org/W2897517148","https://openalex.org/W2167923766"],"abstract_inverted_index":{"Adjusting":[0],"the":[1,5,9,20,43,64],"quantization":[2,44],"according":[3],"to":[4,8,14],"data":[6],"or":[7],"model":[10],"loss":[11],"seems":[12],"mandatory":[13],"enable":[15],"a":[16,47,72,84,88],"high":[17],"accuracy":[18,86],"in":[19],"context":[21],"of":[22,75],"quantized":[23],"neural":[24],"networks.":[25],"This":[26],"work":[27],"presents":[28],"Histogram-Equalized":[29],"Quantization":[30],"(HEQ),":[31],"an":[32],"adaptive":[33],"framework":[34],"for":[35],"linear":[36],"and":[37],"symmetric":[38],"quantization.":[39],"HEQ":[40,56,70],"automatically":[41],"adapts":[42],"thresholds":[45],"using":[46],"unique":[48],"step":[49],"size":[50],"optimization.":[51],"We":[52],"empirically":[53],"show":[54,68],"that":[55,69],"achieves":[57],"state-of-the-art":[58],"performances":[59],"on":[60,63],"CFAR-10.":[61],"Experiments":[62],"STL-10":[65],"dataset":[66],"even":[67],"enables":[71],"proper":[73],"training":[74],"our":[76],"proposed":[77],"logic-gated":[78],"(OR,":[79],"MUX)":[80],"residual":[81],"networks":[82],"with":[83],"higher":[85],"at":[87],"lower":[89],"hardware":[90],"complexity":[91],"than":[92],"previous":[93],"work.":[94]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}
