{"id":"https://openalex.org/W4372260410","doi":"https://doi.org/10.1109/icassp49357.2023.10094897","title":"Wassertein Gan Synthesis for Time Series with Complex Temporal Dynamics: Frugal Architectures and Arbitrary Sample-Size Generation","display_name":"Wassertein Gan Synthesis for Time Series with Complex Temporal Dynamics: Frugal Architectures and Arbitrary Sample-Size Generation","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372260410","doi":"https://doi.org/10.1109/icassp49357.2023.10094897"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10094897","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10094897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"https://openalex.org/A5006408710","display_name":"Th. Beroud","orcid":null},"institutions":[{"id":"https://openalex.org/I100445878","display_name":"\u00c9cole Centrale de Nantes","ror":"https://ror.org/03nh7d505","country_code":"FR","type":"education","lineage":["https://openalex.org/I100445878","https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Th. Beroud","raw_affiliation_strings":["Nantes Université,École Centrale de Nantes,Nantes,France"],"affiliations":[{"raw_affiliation_string":"Nantes Université,École Centrale de Nantes,Nantes,France","institution_ids":["https://openalex.org/I100445878"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050643672","display_name":"Patrice Abry","orcid":"https://orcid.org/0000-0002-7096-8290"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I113428412","display_name":"\u00c9cole Normale Sup\u00e9rieure de Lyon","ror":"https://ror.org/04zmssz18","country_code":"FR","type":"education","lineage":["https://openalex.org/I113428412","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I4210096929","display_name":"Laboratoire de Physique de l'ENS de Lyon","ror":"https://ror.org/00w5ay796","country_code":"FR","type":"facility","lineage":["https://openalex.org/I113428412","https://openalex.org/I1294671590","https://openalex.org/I203339264","https://openalex.org/I4210096929"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"P. Abry","raw_affiliation_strings":["Laboratoire de Physique,CNRS, ENS de Lyon,Lyon,France","CNRS, ENS de Lyon, Laboratoire de Physique, Lyon, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire de Physique,CNRS, ENS de Lyon,Lyon,France","institution_ids":["https://openalex.org/I4210096929","https://openalex.org/I113428412","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"CNRS, ENS de Lyon, Laboratoire de Physique, Lyon, France","institution_ids":["https://openalex.org/I4210096929","https://openalex.org/I113428412","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002959227","display_name":"Y. Malevergne","orcid":null},"institutions":[{"id":"https://openalex.org/I51101395","display_name":"Universit\u00e9 Paris 1 Panth\u00e9on-Sorbonne","ror":"https://ror.org/002t25c44","country_code":"FR","type":"education","lineage":["https://openalex.org/I51101395"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Y. Malevergne","raw_affiliation_strings":["Université Paris 1 Panthéon-Sorbonne,PRISM Sorbonne,Paris,France"],"affiliations":[{"raw_affiliation_string":"Université Paris 1 Panthéon-Sorbonne,PRISM Sorbonne,Paris,France","institution_ids":["https://openalex.org/I51101395"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088793094","display_name":"M. Senneret","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156542","display_name":"Biologie Tissulaire et Ing\u00e9nierie Th\u00e9rapeutique","ror":"https://ror.org/04fqvqs63","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I203339264","https://openalex.org/I4210096427","https://openalex.org/I4210156542"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"M. Senneret","raw_affiliation_strings":["Vivienne Investissement,Lyon,France","Vivienne Investissement, Lyon, France"],"affiliations":[{"raw_affiliation_string":"Vivienne Investissement,Lyon,France","institution_ids":["https://openalex.org/I4210156542"]},{"raw_affiliation_string":"Vivienne Investissement, Lyon, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063415639","display_name":"G. Perrin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156542","display_name":"Biologie Tissulaire et Ing\u00e9nierie Th\u00e9rapeutique","ror":"https://ror.org/04fqvqs63","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I203339264","https://openalex.org/I4210096427","https://openalex.org/I4210156542"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"G. Perrin","raw_affiliation_strings":["Vivienne Investissement,Lyon,France","Vivienne Investissement, Lyon, France"],"affiliations":[{"raw_affiliation_string":"Vivienne Investissement,Lyon,France","institution_ids":["https://openalex.org/I4210156542"]},{"raw_affiliation_string":"Vivienne Investissement, Lyon, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008072401","display_name":"J. Macq","orcid":null},"institutions":[{"id":"https://openalex.org/I51101395","display_name":"Universit\u00e9 Paris 1 Panth\u00e9on-Sorbonne","ror":"https://ror.org/002t25c44","country_code":"FR","type":"education","lineage":["https://openalex.org/I51101395"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J. Macq","raw_affiliation_strings":["Université Paris 1 Panthéon-Sorbonne,PRISM Sorbonne,Paris,France"],"affiliations":[{"raw_affiliation_string":"Université Paris 1 Panthéon-Sorbonne,PRISM Sorbonne,Paris,France","institution_ids":["https://openalex.org/I51101395"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5006408710"],"corresponding_institution_ids":["https://openalex.org/I100445878"],"apc_list":null,"apc_paid":null,"fwci":0.2518,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49620343,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9952999949455261,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9952999949455261,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9902999997138977,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9769999980926514,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7919413447380066},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5866104960441589},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5759814381599426},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5423002243041992},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.533076286315918},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5101945400238037},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4896007180213928},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.47947487235069275},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4415154457092285},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4355734884738922},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4301193058490753},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38573119044303894}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7919413447380066},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5866104960441589},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5759814381599426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5423002243041992},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.533076286315918},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5101945400238037},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4896007180213928},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.47947487235069275},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4415154457092285},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4355734884738922},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4301193058490753},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38573119044303894},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10094897","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10094897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":31,"referenced_works":["https://openalex.org/W1968485253","https://openalex.org/W2043711675","https://openalex.org/W2064562192","https://openalex.org/W2100011707","https://openalex.org/W2112796928","https://openalex.org/W2148090803","https://openalex.org/W2194775991","https://openalex.org/W2244068718","https://openalex.org/W2475287302","https://openalex.org/W2570279256","https://openalex.org/W2597331672","https://openalex.org/W2598525681","https://openalex.org/W2762951684","https://openalex.org/W2912083425","https://openalex.org/W2949151678","https://openalex.org/W2950378732","https://openalex.org/W2958114180","https://openalex.org/W2963684088","https://openalex.org/W3035574324","https://openalex.org/W3094318921","https://openalex.org/W4206215270","https://openalex.org/W4233762729","https://openalex.org/W4246193833","https://openalex.org/W4302067267","https://openalex.org/W6637373629","https://openalex.org/W6685352114","https://openalex.org/W6735913928","https://openalex.org/W6741832134","https://openalex.org/W6744629392","https://openalex.org/W6753113894","https://openalex.org/W6773577282"],"related_works":["https://openalex.org/W2380075625","https://openalex.org/W4390718435","https://openalex.org/W4390549206","https://openalex.org/W3137171911","https://openalex.org/W3005996785","https://openalex.org/W4386984417","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Generating":[0],"surrogate":[1],"data":[2],"using":[3,45],"Deep":[4],"Neural":[5],"Network":[6],"(DNN)":[7],"has":[8],"become":[9],"a":[10,80,117],"classic":[11],"task":[12],"in":[13,91],"image":[14],"processing,":[15],"while":[16],"DNN":[17,33],"time":[18,36,41,98],"series":[19,99],"synthesis":[20,34,60],"is":[21],"less":[22],"often":[23],"considered.":[24],"The":[25],"present":[26],"work":[27],"addresses":[28],"issues":[29],"related":[30],"to":[31,85,96],"the":[32,72,74,106],"of":[35,51,76,82,100,105],"series,":[37],"with":[38],"complex,":[39],"scalefree":[40],"nonreversible":[42],"temporal":[43],"dynamics,":[44],"Wassertein":[46],"Generative":[47],"Adversarial":[48],"Network.":[49],"Instead":[50],"proposing":[52],"yet":[53],"another":[54],"overperforming":[55],"architecture,":[56],"it":[57],"discusses,":[58],"first,":[59],"quality":[61],"quantitative":[62],"assessment":[63],"and,":[64],"second,":[65],"architecture":[66],"designs":[67],"that":[68,104],"both":[69],"reduce,":[70],"for":[71],"Generator,":[73],"number":[75],"trainable":[77],"parameters":[78],"by":[79],"factor":[81],"10000":[83],"(compared":[84],"state-of-the-art":[86],"architectures),":[87],"at":[88],"no":[89],"expense":[90],"performance":[92],"cost,":[93],"and":[94],"permit":[95],"generate":[97],"size":[101],"longer":[102],"than":[103],"training":[107],"set,":[108],"without":[109],"retraining.":[110],"This":[111],"works":[112],"can":[113],"thus":[114],"be":[115],"considered":[116],"contribution":[118],"towards":[119],"sustainable":[120],"Artificial":[121],"Intelligence.":[122]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}