{"id":"https://openalex.org/W2947956927","doi":"https://doi.org/10.1145/3321707.3321860","title":"Spatial evolutionary generative adversarial networks","display_name":"Spatial evolutionary generative adversarial networks","publication_year":2019,"publication_date":"2019-07-03","ids":{"openalex":"https://openalex.org/W2947956927","doi":"https://doi.org/10.1145/3321707.3321860","mag":"2947956927"},"language":"en","primary_location":{"id":"doi:10.1145/3321707.3321860","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3321707.3321860","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3321707.3321860","source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3321707.3321860","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031874460","display_name":"Jamal Toutouh","orcid":"https://orcid.org/0000-0003-1152-0346"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jamal Toutouh","raw_affiliation_strings":["Massachusetts Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042705542","display_name":"Erik Hemberg","orcid":"https://orcid.org/0000-0002-2153-3506"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erik Hemberg","raw_affiliation_strings":["Massachusetts Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000646181","display_name":"Una-May O\u2019Reilly","orcid":"https://orcid.org/0000-0001-6923-8445"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Una-May O'Reilly","raw_affiliation_strings":["Massachusetts Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":3.3897,"has_fulltext":true,"cited_by_count":57,"citation_normalized_percentile":{"value":0.94635362,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"472","last_page":"480"},"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":0.9991999864578247,"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":0.9991999864578247,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9894999861717224,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9623000025749207,"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/mnist-database","display_name":"MNIST database","score":0.7236124277114868},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7204188108444214},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6145645380020142},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5869150161743164},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5339404940605164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5238839983940125},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5183521509170532},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5102436542510986},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.506576418876648},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4558372497558594},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4533388912677765},{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.44006434082984924},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41146230697631836},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.21534639596939087},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17811861634254456},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.16391044855117798},{"id":"https://openalex.org/keywords/evolutionary-biology","display_name":"Evolutionary biology","score":0.075979083776474},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.06525745987892151}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.7236124277114868},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7204188108444214},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6145645380020142},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5869150161743164},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5339404940605164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5238839983940125},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5183521509170532},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5102436542510986},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.506576418876648},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4558372497558594},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4533388912677765},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.44006434082984924},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41146230697631836},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21534639596939087},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17811861634254456},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.16391044855117798},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.075979083776474},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.06525745987892151},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3321707.3321860","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3321707.3321860","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3321707.3321860","source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1905.12702","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.12702","pdf_url":"https://arxiv.org/pdf/1905.12702","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3321707.3321860","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3321707.3321860","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3321707.3321860","source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G434337789","display_name":null,"funder_award_id":"HORIZON2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G6466042625","display_name":"NeCOL: An Innovative Methodology for Building Better Deep Learning Tools for Real Word Applications","funder_award_id":"799078","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2947956927.pdf","grobid_xml":"https://content.openalex.org/works/W2947956927.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W97681402","https://openalex.org/W2050940561","https://openalex.org/W2099471712","https://openalex.org/W2160450627","https://openalex.org/W2173520492","https://openalex.org/W2521028896","https://openalex.org/W2530372461","https://openalex.org/W2560169576","https://openalex.org/W2561036008","https://openalex.org/W2573380384","https://openalex.org/W2581485081","https://openalex.org/W2593414223","https://openalex.org/W2618858825","https://openalex.org/W2687693326","https://openalex.org/W2728304432","https://openalex.org/W2733819076","https://openalex.org/W2739748921","https://openalex.org/W2753491454","https://openalex.org/W2785838823","https://openalex.org/W2791630758","https://openalex.org/W2883069695","https://openalex.org/W2902255935","https://openalex.org/W2949186514","https://openalex.org/W2962900302","https://openalex.org/W2963474063","https://openalex.org/W2963684088","https://openalex.org/W2963917315","https://openalex.org/W2963981733","https://openalex.org/W2964121818","https://openalex.org/W2964201867","https://openalex.org/W2964217038","https://openalex.org/W2964303162","https://openalex.org/W4210434492","https://openalex.org/W4289750297","https://openalex.org/W4294596616","https://openalex.org/W4300838842","https://openalex.org/W4320013936","https://openalex.org/W4394670483"],"related_works":["https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2391924736","https://openalex.org/W3133779647","https://openalex.org/W1560122427","https://openalex.org/W2021957875","https://openalex.org/W2802808995","https://openalex.org/W2787833928","https://openalex.org/W2593449396","https://openalex.org/W2780789525"],"abstract_inverted_index":{"Generative":[0],"adversary":[1],"networks":[2,30],"(GANs)":[3],"suffer":[4],"from":[5,18,155],"training":[6,49,60,87,104,130,145,176],"pathologies":[7,15],"such":[8],"as":[9],"instability":[10],"and":[11,109,118,167],"mode":[12],"collapse.":[13],"These":[14],"mainly":[16],"arise":[17],"a":[19,88,94,126,147,173],"lack":[20],"of":[21,34,44,91,102],"diversity":[22,58,85,122],"in":[23,179],"their":[24],"adversarial":[25,29],"interactions.":[26],"Evolutionary":[27],"generative":[28],"apply":[31],"the":[32,61,71,77,135,157],"principles":[33],"evolutionary":[35,96,128],"computation":[36],"to":[37,115,121],"mitigate":[38],"these":[39,45],"problems.":[40],"We":[41,113,124],"hybridize":[42],"two":[43],"approaches":[46,120],"that":[47,98,133,170],"promote":[48],"diversity.":[50],"One,":[51],"E-GAN,":[52],"at":[53],"each":[54,144],"batch,":[55],"injects":[56,83],"mutation":[57,117],"by":[59,86],"(replicated)":[62],"generator":[63,75],"with":[64,93,152],"three":[65,158],"independent":[66],"objective":[67],"functions":[68],"then":[69],"selecting":[70],"resulting":[72,178],"best":[73],"performing":[74],"for":[76],"next":[78],"batch.":[79],"The":[80],"other,":[81],"Lipizzaner,":[82],"population":[84,119],"two-dimensional":[89],"grid":[90],"GANs":[92,129],"distributed":[95],"algorithm":[97],"includes":[99],"neighbor":[100],"exchanges":[101],"additional":[103],"adversaries,":[105],"performance":[106],"based":[107],"selection":[108],"population-based":[110],"hyper-parameter":[111],"tuning.":[112],"propose":[114],"combine":[116],"improvement.":[123],"contribute":[125],"superior":[127],"method,":[131],"Mustangs,":[132],"eliminates":[134],"single":[136],"loss":[137,148],"function":[138,149],"used":[139],"across":[140],"Lipizzaner's":[141],"grid.":[142],"Instead,":[143],"round,":[146],"is":[150],"selected":[151],"equal":[153],"probability,":[154],"among":[156],"E-GAN":[159],"uses.":[160],"Experimental":[161],"analyses":[162],"on":[163],"standard":[164],"benchmarks,":[165],"MNIST":[166],"CelebA,":[168],"demonstrate":[169],"Mustangs":[171],"provides":[172],"statistically":[174],"faster":[175],"method":[177],"more":[180],"accurate":[181],"networks.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":15}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}