{"id":"https://openalex.org/W4388482022","doi":"https://doi.org/10.48550/arxiv.2311.03061","title":"Learned layered coding for Successive Refinement in the Wyner-Ziv Problem","display_name":"Learned layered coding for Successive Refinement in the Wyner-Ziv Problem","publication_year":2023,"publication_date":"2023-11-06","ids":{"openalex":"https://openalex.org/W4388482022","doi":"https://doi.org/10.48550/arxiv.2311.03061"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2311.03061","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.03061","pdf_url":"https://arxiv.org/pdf/2311.03061","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2311.03061","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072533463","display_name":"Boris Joukovsky","orcid":"https://orcid.org/0000-0002-2881-2727"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Joukovsky, Boris","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052596508","display_name":"Brent De Weerdt","orcid":"https://orcid.org/0000-0001-9240-2370"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"De Weerdt, Brent","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5043511500","display_name":"Nikos Deligiannis","orcid":"https://orcid.org/0000-0001-9300-5860"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deligiannis, Nikos","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072533463"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9962999820709229,"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"}},"topics":[{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9962999820709229,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9796000123023987,"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/T11448","display_name":"Face recognition and analysis","score":0.9769999980926514,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.658628523349762},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6341537833213806},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6026972532272339},{"id":"https://openalex.org/keywords/rate-distortion","display_name":"Rate distortion","score":0.5969290733337402},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.588270902633667},{"id":"https://openalex.org/keywords/rate\u2013distortion-theory","display_name":"Rate\u2013distortion theory","score":0.5421546101570129},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5209568738937378},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4561958909034729},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.4547646641731262},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.45202043652534485},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.44774892926216125},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.445195734500885},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.42961421608924866},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30904000997543335},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.2691700756549835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24595773220062256}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.658628523349762},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6341537833213806},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6026972532272339},{"id":"https://openalex.org/C2982755384","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate distortion","level":3,"score":0.5969290733337402},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.588270902633667},{"id":"https://openalex.org/C64185310","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate\u2013distortion theory","level":3,"score":0.5421546101570129},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5209568738937378},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4561958909034729},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.4547646641731262},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.45202043652534485},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.44774892926216125},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.445195734500885},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.42961421608924866},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30904000997543335},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.2691700756549835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24595773220062256},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"pmh:oai:arXiv.org:2311.03061","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.03061","pdf_url":"https://arxiv.org/pdf/2311.03061","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:174443","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2311.03061","pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"publishedVersion"},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:174443","is_oa":false,"landing_page_url":"https://biblio.vub.ac.be/vubir/learned-layered-coding-for-successive-refinement-in-the-wynerziv-problem(b7b090c6-4be5-47c2-ad37-03950e1c2603).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"publishedVersion"},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:191816","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.48550/arxiv.2311.03061","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2311.03061","pdf_url":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2311.03061","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.03061","pdf_url":"https://arxiv.org/pdf/2311.03061","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388482022.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1950940422","https://openalex.org/W4283822356","https://openalex.org/W2129146436","https://openalex.org/W2032507829","https://openalex.org/W2147282173","https://openalex.org/W1413489299","https://openalex.org/W2148508315","https://openalex.org/W2120182993","https://openalex.org/W1554604567","https://openalex.org/W2002925467"],"abstract_inverted_index":{"We":[0,86],"propose":[1],"a":[2,12,72],"data-driven":[3],"approach":[4,49,117],"to":[5,35,55,97,121],"explicitly":[6,91],"learn":[7,56],"the":[8,26,36,40,62,76,80,102,106,112,122],"progressive":[9],"encoding":[10],"of":[11,22,28,39,79,105],"continuous":[13],"source,":[14],"which":[15],"is":[16,108,119],"successively":[17,81],"decoded":[18],"with":[19,25,111],"increasing":[20],"levels":[21],"quality":[23],"and":[24,59,118],"aid":[27],"correlated":[29],"side":[30],"information.":[31],"This":[32],"setup":[33],"refers":[34],"successive":[37],"refinement":[38],"Wyner-Ziv":[41,83,115],"coding":[42,84,116],"problem.":[43,85],"Assuming":[44],"ideal":[45],"Slepian-Wolf":[46],"coding,":[47],"our":[48],"employs":[50],"recurrent":[51],"neural":[52],"networks":[53],"(RNNs)":[54],"layered":[57,93],"encoders":[58],"decoders":[60],"for":[61],"quadratic":[63],"Gaussian":[64],"case.":[65],"The":[66],"models":[67],"are":[68],"trained":[69],"by":[70],"minimizing":[71],"variational":[73],"bound":[74],"on":[75,109],"rate-distortion":[77,103,123],"function":[78],"refined":[82],"demonstrate":[87],"that":[88],"RNNs":[89],"can":[90],"retrieve":[92],"binning":[94],"solutions":[95],"akin":[96],"scalable":[98],"nested":[99],"quantization.":[100],"Moreover,":[101],"performance":[104],"scheme":[107],"par":[110],"corresponding":[113],"monolithic":[114],"close":[120],"bound.":[124]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
