{"id":"https://openalex.org/W7084099804","doi":"https://doi.org/10.1109/aicas64808.2025.11173144","title":"End-to-end fully-binarized network design: from Generic Learned Thermometer to Block Pruning","display_name":"End-to-end fully-binarized network design: from Generic Learned Thermometer to Block Pruning","publication_year":2025,"publication_date":"2025-04-28","ids":{"openalex":"https://openalex.org/W7084099804","doi":"https://doi.org/10.1109/aicas64808.2025.11173144"},"language":"en","primary_location":{"id":"doi:10.1109/aicas64808.2025.11173144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aicas64808.2025.11173144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 7th International Conference on Artificial Intelligence Circuits and Systems (AICAS)","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":null,"display_name":"Thien Nguyen","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/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"]},{"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"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Thien Nguyen","raw_affiliation_strings":["CEA-LETI,Smart Integrated Circuits for Imaging Laboratory,Grenoble,France,F-38000"],"affiliations":[{"raw_affiliation_string":"CEA-LETI,Smart Integrated Circuits for Imaging Laboratory,Grenoble,France,F-38000","institution_ids":["https://openalex.org/I4210150049","https://openalex.org/I3020098449","https://openalex.org/I2738703131"]}]},{"author_position":"last","author":{"id":null,"display_name":"William Guicquero","orcid":null},"institutions":[{"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/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/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,Smart Integrated Circuits for Imaging Laboratory,Grenoble,France,F-38000"],"affiliations":[{"raw_affiliation_string":"CEA-LETI,Smart Integrated Circuits for Imaging Laboratory,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":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I3020098449","https://openalex.org/I4210150049"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.54909715,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T13427","display_name":"Latin American Literature Analysis","score":0.4309000074863434,"subfield":{"id":"https://openalex.org/subfields/1208","display_name":"Literature and Literary Theory"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13427","display_name":"Latin American Literature Analysis","score":0.4309000074863434,"subfield":{"id":"https://openalex.org/subfields/1208","display_name":"Literature and Literary Theory"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13134","display_name":"Latin American Literature Studies","score":0.1476999968290329,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14035","display_name":"Literature, Culture, and Aesthetics","score":0.03840000182390213,"subfield":{"id":"https://openalex.org/subfields/1209","display_name":"Museology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6116999983787537},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5464000105857849},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5437999963760376},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5271000266075134},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5174999833106995},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5080999732017517},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4302000105381012},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.41749998927116394}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7113000154495239},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6116999983787537},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5464000105857849},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5437999963760376},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5271000266075134},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5174999833106995},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5080999732017517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49779999256134033},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.474700003862381},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4302000105381012},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41749998927116394},{"id":"https://openalex.org/C2777155165","wikidata":"https://www.wikidata.org/wiki/Q646","display_name":"Thermometer","level":2,"score":0.4018000066280365},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.39309999346733093},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36629998683929443},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.34200000762939453},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3019999861717224},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.2896000146865845},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2838999927043915},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.2822999954223633},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.2791999876499176},{"id":"https://openalex.org/C3309909","wikidata":"https://www.wikidata.org/wiki/Q864155","display_name":"Binary decision diagram","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25450000166893005}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aicas64808.2025.11173144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aicas64808.2025.11173144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 7th International Conference on Artificial Intelligence Circuits and Systems (AICAS)","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":16,"referenced_works":["https://openalex.org/W2566568437","https://openalex.org/W2894696827","https://openalex.org/W3041416753","https://openalex.org/W3097304224","https://openalex.org/W3104151879","https://openalex.org/W3120586104","https://openalex.org/W3130641740","https://openalex.org/W4221031448","https://openalex.org/W4226265576","https://openalex.org/W4312316972","https://openalex.org/W4312678978","https://openalex.org/W4360605651","https://openalex.org/W4386938519","https://openalex.org/W4390874203","https://openalex.org/W4392746454","https://openalex.org/W4401880257"],"related_works":[],"abstract_inverted_index":{"Existing":[0],"works":[1],"on":[2,9,17,40,126],"Binary":[3],"Neural":[4],"Network":[5],"(BNN)":[6],"mainly":[7],"focus":[8],"model\u2019s":[10],"weights":[11],"and":[12,86,129],"activations":[13],"while":[14,153],"discarding":[15],"considerations":[16],"the":[18,94,109,127],"input":[19,34],"raw":[20],"data.":[21],"This":[22,46],"article":[23],"introduces":[24],"Generic":[25],"Learned":[26],"Thermometer":[27],"(GLT),":[28],"an":[29],"encoding":[30],"technique":[31,47],"to":[32,60,83,108],"improve":[33],"data":[35,51],"representation":[36],"for":[37,156],"BNN,":[38],"relying":[39],"learning":[41],"non":[42],"linear":[43],"quantization":[44],"thresholds.":[45],"consists":[48],"in":[49,121],"multiple":[50],"binarizations":[52],"which":[53],"can":[54],"advantageously":[55],"replace":[56],"a":[57,73],"conventional":[58],"Analog":[59],"Digital":[61],"Conversion":[62],"(ADC)":[63],"that":[64,104],"uses":[65],"natural":[66],"binary":[67],"coding.":[68],"Additionally,":[69],"we":[70,141],"jointly":[71],"propose":[72],"compact":[74],"topology":[75],"with":[76,136,149],"light-weight":[77],"grouped":[78],"convolutions":[79],"being":[80,154],"trained":[81],"thanks":[82],"block":[84],"pruning":[85],"Knowledge":[87],"Distillation":[88],"(KD),":[89],"aiming":[90],"at":[91],"reducing":[92],"furthermore":[93],"model":[95],"size":[96],"so":[97],"as":[98],"its":[99],"computational":[100],"complexity.":[101],"We":[102],"show":[103],"GLT":[105,135],"brings":[106],"versatility":[107],"BNN":[110],"by":[111,124],"intrinsically":[112],"performing":[113],"global":[114],"tone":[115],"mapping,":[116],"enabling":[117],"significant":[118],"accuracy":[119,151],"gains":[120],"practice":[122],"(demonstrated":[123],"simulations":[125],"STL-10":[128],"VWW":[130],"datasets).":[131],"Moreover,":[132],"when":[133],"combining":[134],"our":[137],"proposed":[138],"block-pruning":[139],"technique,":[140],"successfully":[142],"achieve":[143],"lightweight":[144],"(under":[145],"1Mb),":[146],"fully-binarized":[147],"models":[148],"limited":[150],"degradation":[152],"suitable":[155],"in-sensor":[157],"always-on":[158],"inference":[159],"use":[160],"cases.":[161]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}