{"id":"https://openalex.org/W4410537142","doi":"https://doi.org/10.1109/dcc62719.2025.00033","title":"Enhancing and Evaluating Probabilistic Circuits for High-Resolution Lossless Image Compression","display_name":"Enhancing and Evaluating Probabilistic Circuits for High-Resolution Lossless Image Compression","publication_year":2025,"publication_date":"2025-03-18","ids":{"openalex":"https://openalex.org/W4410537142","doi":"https://doi.org/10.1109/dcc62719.2025.00033"},"language":"en","primary_location":{"id":"doi:10.1109/dcc62719.2025.00033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc62719.2025.00033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Data Compression Conference (DCC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5089038476","display_name":"Daniel Severo","orcid":"https://orcid.org/0000-0003-0472-5300"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daniel Severo","raw_affiliation_strings":["Meta AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta AI","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113354567","display_name":"Jingtong Su","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jingtong Su","raw_affiliation_strings":["NYU"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NYU","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057756881","display_name":"Anji Liu","orcid":"https://orcid.org/0000-0001-8640-0061"},"institutions":[{"id":"https://openalex.org/I2799798094","display_name":"UCLA Health","ror":"https://ror.org/01d88se56","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799798094"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anji Liu","raw_affiliation_strings":["UCLA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCLA","institution_ids":["https://openalex.org/I2799798094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109809878","display_name":"JEFF JOHNSON","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeff Johnson","raw_affiliation_strings":["Meta AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta AI","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038907218","display_name":"Brian Karrer","orcid":"https://orcid.org/0000-0002-6252-8332"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brian Karrer","raw_affiliation_strings":["Meta AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta AI","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009539513","display_name":"Guy Van den Broeck","orcid":"https://orcid.org/0000-0003-3434-2503"},"institutions":[{"id":"https://openalex.org/I2799798094","display_name":"UCLA Health","ror":"https://ror.org/01d88se56","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799798094"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guy Van Den Broeck","raw_affiliation_strings":["UCLA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCLA","institution_ids":["https://openalex.org/I2799798094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029739727","display_name":"Matthew J. Muckley","orcid":"https://orcid.org/0000-0002-6525-8817"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matthew J. Muckley","raw_affiliation_strings":["Meta AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta AI","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058031547","display_name":"Karen Ullrich","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karen Ullrich","raw_affiliation_strings":["Meta AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta AI","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09318214,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"253","last_page":"262"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9991000294685364,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9991000294685364,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/lossless-compression","display_name":"Lossless compression","score":0.8481442928314209},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6332173347473145},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5974094867706299},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5760173201560974},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.5056204795837402},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4881363809108734},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4806338846683502},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4713456332683563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4594174027442932},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4401559829711914},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.4289681911468506},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.41248762607574463},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35753074288368225},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2250092625617981},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.13701742887496948},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1058037281036377},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.09055331349372864},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.07318416237831116},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.0636078417301178}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.8481442928314209},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6332173347473145},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5974094867706299},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5760173201560974},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.5056204795837402},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4881363809108734},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4806338846683502},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4713456332683563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4594174027442932},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4401559829711914},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.4289681911468506},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.41248762607574463},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35753074288368225},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2250092625617981},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.13701742887496948},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1058037281036377},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.09055331349372864},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.07318416237831116},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0636078417301178},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dcc62719.2025.00033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc62719.2025.00033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Data Compression Conference (DCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1995875735","https://openalex.org/W2040370888","https://openalex.org/W2099111195","https://openalex.org/W2108598243","https://openalex.org/W2122962290","https://openalex.org/W2145607950","https://openalex.org/W2153074847","https://openalex.org/W2163166770","https://openalex.org/W3036204904","https://openalex.org/W6756754865","https://openalex.org/W6762845226","https://openalex.org/W6763133020","https://openalex.org/W6771628455","https://openalex.org/W6796616380","https://openalex.org/W6845789908","https://openalex.org/W6847351511","https://openalex.org/W6849782250"],"related_works":["https://openalex.org/W3210332869","https://openalex.org/W2385628723","https://openalex.org/W2547124190","https://openalex.org/W4327499886","https://openalex.org/W4294006383","https://openalex.org/W2115343698","https://openalex.org/W3180760233","https://openalex.org/W2096442341","https://openalex.org/W2751842002","https://openalex.org/W4210455546"],"abstract_inverted_index":{"We":[0,55],"propose":[1],"a":[2,69],"set":[3],"of":[4,13,27,36,45,71,103],"modifications":[5],"that":[6,100],"improve":[7,65],"training":[8],"time":[9],"and":[10,95,107],"likelihood":[11,49,66],"estimation":[12,30,50,67],"hierarchical":[14],"mixture":[15],"models":[16],"implemented":[17],"via":[18],"Probabilistic":[19],"Circuits":[20],"(PCs).":[21],"Our":[22],"proposal":[23],"reduces":[24],"the":[25,32,43,60,101,117],"complexity":[26],"mutual":[28],"information":[29],"in":[31,42],"structure":[33],"learning":[34],"step":[35],"PCs":[37,80,108],"from":[38,59],"quadratic":[39],"to":[40,64,73],"linear":[41],"number":[44],"inputs,":[46],"without":[47],"sacrificing":[48],"performance":[51],"on":[52,75,86,124],"image":[53,77,97,118],"datasets.":[54,88],"repurpose":[56],"invertible":[57],"transformations":[58],"lossless":[61,104,126],"compression":[62,106],"community":[63],"by":[68],"factor":[70],"up":[72],"25%":[74],"benchmark":[76],"datasets,":[78],"making":[79],"competitive":[81],"with":[82,93],"current":[83],"standard":[84,110],"codecs":[85],"low-resolution":[87],"Despite":[89],"our":[90],"improvements,":[91],"experiments":[92],"low-":[94],"high-resolution":[96],"datasets":[98],"indicate":[99],"advantage":[102],"neural":[105,127],"over":[109],"codecs,":[111],"such":[112],"as":[113,116],"WebP,":[114],"disappears":[115],"size":[119],"increases,":[120],"motivating":[121],"future":[122],"work":[123],"practical":[125],"compression.":[128]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}