{"id":"https://openalex.org/W4412404073","doi":"https://doi.org/10.1109/tcsvt.2025.3588737","title":"Improving Post-Training Quantization via Probabilistic Programming","display_name":"Improving Post-Training Quantization via Probabilistic Programming","publication_year":2025,"publication_date":"2025-07-14","ids":{"openalex":"https://openalex.org/W4412404073","doi":"https://doi.org/10.1109/tcsvt.2025.3588737"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2025.3588737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3588737","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://biblio.ugent.be/publication/01K093XFKGFS4PYTNTDFVPMP3K/file/01K094DN22RNE89VE94NQ921TA.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081544525","display_name":"Kui Liu","orcid":"https://orcid.org/0000-0002-2393-4362"},"institutions":[{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Kui Liu","raw_affiliation_strings":["Image Processing and Interpretation Research Group, Interuniversity Microelectronics Centre (IMEC), Ghent University, Ghent, Belgium","Interuniversity Microelectronics Centre (IMEC), Image Processing and Interpretation Research Group, Ghent University, Ghent, Belgium"],"raw_orcid":"https://orcid.org/0000-0002-2393-4362","affiliations":[{"raw_affiliation_string":"Image Processing and Interpretation Research Group, Interuniversity Microelectronics Centre (IMEC), Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I4210114974"]},{"raw_affiliation_string":"Interuniversity Microelectronics Centre (IMEC), Image Processing and Interpretation Research Group, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I4210114974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085936068","display_name":"Bart Goossens","orcid":"https://orcid.org/0000-0002-1666-5483"},"institutions":[{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Bart Goossens","raw_affiliation_strings":["Image Processing and Interpretation Research Group, Interuniversity Microelectronics Centre (IMEC), Ghent University, Ghent, Belgium","Interuniversity Microelectronics Centre (IMEC), Image Processing and Interpretation Research Group, Ghent University, Ghent, Belgium"],"raw_orcid":"https://orcid.org/0000-0002-1666-5483","affiliations":[{"raw_affiliation_string":"Image Processing and Interpretation Research Group, Interuniversity Microelectronics Centre (IMEC), Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I4210114974"]},{"raw_affiliation_string":"Interuniversity Microelectronics Centre (IMEC), Image Processing and Interpretation Research Group, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I4210114974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006262997","display_name":"Tom De Schepper","orcid":"https://orcid.org/0000-0002-2969-3133"},"institutions":[{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Tom De Schepper","raw_affiliation_strings":["AI &#x0026; Data Department, Interuniversity Microelectronics Centre (IMEC), Leuven, Belgium","AI and Data Department, Interuniversity Microelectronics Centre (IMEC), Leuven, Belgium"],"raw_orcid":"https://orcid.org/0000-0002-2969-3133","affiliations":[{"raw_affiliation_string":"AI &#x0026; Data Department, Interuniversity Microelectronics Centre (IMEC), Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]},{"raw_affiliation_string":"AI and Data Department, Interuniversity Microelectronics Centre (IMEC), Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071483672","display_name":"Wilfried Philips","orcid":"https://orcid.org/0000-0003-4456-4353"},"institutions":[{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Wilfried Philips","raw_affiliation_strings":["Image Processing and Interpretation Research Group, Interuniversity Microelectronics Centre (IMEC), Ghent University, Ghent, Belgium","Interuniversity Microelectronics Centre (IMEC), Image Processing and Interpretation Research Group, Ghent University, Ghent, Belgium"],"raw_orcid":"https://orcid.org/0000-0003-4456-4353","affiliations":[{"raw_affiliation_string":"Image Processing and Interpretation Research Group, Interuniversity Microelectronics Centre (IMEC), Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I4210114974"]},{"raw_affiliation_string":"Interuniversity Microelectronics Centre (IMEC), Image Processing and Interpretation Research Group, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I4210114974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210114974"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08093102,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":"12","first_page":"11950","last_page":"11964"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8497999906539917,"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/T10320","display_name":"Neural Networks and Applications","score":0.8497999906539917,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.7921000123023987,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.76910001039505,"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/computer-science","display_name":"Computer science","score":0.619406521320343},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5788097381591797},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5424672961235046},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.49974584579467773},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49283838272094727},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.41961032152175903},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2810547351837158}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.619406521320343},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5788097381591797},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5424672961235046},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.49974584579467773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49283838272094727},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.41961032152175903},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2810547351837158},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcsvt.2025.3588737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3588737","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"},{"id":"pmh:oai:archive.ugent.be:01K093XFKGFS4PYTNTDFVPMP3K","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-01K093XFKGFS4PYTNTDFVPMP3K","pdf_url":"https://biblio.ugent.be/publication/01K093XFKGFS4PYTNTDFVPMP3K/file/01K094DN22RNE89VE94NQ921TA.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"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":"ISSN: 1558-2205","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:archive.ugent.be:01K093XFKGFS4PYTNTDFVPMP3K","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-01K093XFKGFS4PYTNTDFVPMP3K","pdf_url":"https://biblio.ugent.be/publication/01K093XFKGFS4PYTNTDFVPMP3K/file/01K094DN22RNE89VE94NQ921TA.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"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":"ISSN: 1558-2205","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320327336","display_name":"Vlaamse regering","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412404073.pdf","grobid_xml":"https://content.openalex.org/works/W4412404073.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W230091440","https://openalex.org/W2233261550","https://openalex.org/W2810751659","https://openalex.org/W258997015","https://openalex.org/W2997094352","https://openalex.org/W3216976533","https://openalex.org/W100620283","https://openalex.org/W1539956819","https://openalex.org/W2495260952","https://openalex.org/W3209251257"],"abstract_inverted_index":{"Post-training":[0],"quantization":[1,77,81,96,103,120,127,143],"(PTQ)":[2],"is":[3,19],"an":[4],"effective":[5],"solution":[6],"for":[7],"deploying":[8],"deep":[9],"neural":[10,101],"networks":[11],"on":[12,34,197],"edge":[13],"devices":[14],"with":[15],"limited":[16],"resources.":[17],"PTQ":[18,50,152,170,185],"especially":[20],"attractive":[21],"because":[22],"it":[23],"does":[24],"not":[25],"require":[26,53],"access":[27],"to":[28,40,64,118],"the":[29,35,93,100,124,164,169,188],"entire":[30],"original":[31],"training":[32],"dataset":[33,58,176],"promise":[36],"of":[37,95,126,177],"being":[38],"able":[39],"use":[41],"a":[42,54,74,84,105,134,147,173],"much":[43],"smaller":[44],"calibration":[45,57,158,175],"dataset.":[46],"However,":[47],"many":[48],"existing":[49],"methods":[51],"still":[52],"sufficiently":[55],"large":[56],"(e.g.,":[59],"more":[60],"than":[61],"1000":[62],"images)":[63],"achieve":[65,182],"satisfactory":[66],"model":[67],"accuracy.":[68],"In":[69,109,130],"this":[70],"paper,":[71],"we":[72,98,112,132],"present":[73],"novel":[75],"post-training":[76],"method":[78,166,190],"that":[79,140,163],"estimates":[80],"parameters":[82,121],"using":[83,172],"Bayesian":[85,106],"Maximum":[86],"A":[87],"Posterior":[88],"(MAP)":[89],"estimator.":[90],"By":[91],"modeling":[92],"uncertainty":[94],"operations,":[97],"formulate":[99],"network":[102],"as":[104],"inference":[107],"problem.":[108],"our":[110],"method,":[111],"first":[113],"employ":[114],"probabilistic":[115],"programming":[116],"techniques":[117],"optimize":[119],"by":[122],"maximizing":[123],"posterior":[125],"step":[128],"sizes.":[129],"addition,":[131],"introduce":[133],"Minimum":[135],"Description":[136],"Length":[137],"(MDL)":[138],"prior":[139],"favors":[141],"low":[142],"bit":[144],"widths":[145],"and":[146,181,201],"validation":[148],"procedure,":[149],"which":[150],"enhances":[151],"performance":[153,171],"when":[154,195],"learning":[155],"from":[156],"small":[157],"datasets.":[159],"Comprehensive":[160],"evaluations":[161],"demonstrate":[162],"proposed":[165,189],"can":[167],"improve":[168],"minimal":[174],"just":[178],"64":[179],"images,":[180],"nearly":[183],"state-of-the-art":[184],"performance.":[186],"Furthermore,":[187],"shows":[191],"strong":[192],"generalization":[193],"ability":[194],"calibrated":[196],"different":[198],"data":[199],"sources":[200],"tested":[202],"across":[203],"diverse":[204],"data.":[205]},"counts_by_year":[],"updated_date":"2025-12-06T23:10:59.065948","created_date":"2025-10-10T00:00:00"}
