{"id":"https://openalex.org/W4372338329","doi":"https://doi.org/10.1109/icassp49357.2023.10095903","title":"A Game of Snakes and Gans","display_name":"A Game of Snakes and Gans","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372338329","doi":"https://doi.org/10.1109/icassp49357.2023.10095903"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095903","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/A5024006132","display_name":"Siddarth Asokan","orcid":"https://orcid.org/0000-0002-3058-2852"},"institutions":[{"id":"https://openalex.org/I4210151956","display_name":"Robert Bosch (India)","ror":"https://ror.org/04my8ty22","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210151956","https://openalex.org/I889804353"]},{"id":"https://openalex.org/I4210091347","display_name":"Robert Bosch (China)","ror":"https://ror.org/00cedkn40","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091347","https://openalex.org/I889804353"]}],"countries":["CN","IN"],"is_corresponding":true,"raw_author_name":"Siddarth Asokan","raw_affiliation_strings":["Indian Institute of Science,Robert Bosch Center for Cyber-Physical Systems,Bengaluru,India,12","Robert Bosch Center for Cyber-Physical Systems, Indian Institute of Science, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Science,Robert Bosch Center for Cyber-Physical Systems,Bengaluru,India,12","institution_ids":["https://openalex.org/I4210091347"]},{"raw_affiliation_string":"Robert Bosch Center for Cyber-Physical Systems, Indian Institute of Science, Bengaluru, India","institution_ids":["https://openalex.org/I4210151956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025473953","display_name":"Fatwir S. Mohammed","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fatwir Sheikh Mohammed","raw_affiliation_strings":["University of Washington,Seattle,United States,WA 98195"],"affiliations":[{"raw_affiliation_string":"University of Washington,Seattle,United States,WA 98195","institution_ids":["https://openalex.org/I201448701","https://openalex.org/I58610484"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005652970","display_name":"Chandra Sekhar Seelamantula","orcid":"https://orcid.org/0000-0001-9049-1912"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chandra Sekhar Seelamantula","raw_affiliation_strings":["Indian Institute of Science,Department of Electrical Engineering,Bengaluru,India,12","Department of Electrical Engineering, Indian Institute of Science, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Science,Department of Electrical Engineering,Bengaluru,India,12","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bengaluru, India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024006132"],"corresponding_institution_ids":["https://openalex.org/I4210091347","https://openalex.org/I4210151956"],"apc_list":null,"apc_paid":null,"fwci":0.1199,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37483357,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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":0.9977999925613403,"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":0.9977999925613403,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9876000285148621,"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/discriminator","display_name":"Discriminator","score":0.8578387498855591},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.7134270668029785},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6956252455711365},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5671318769454956},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5294957756996155},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5283452272415161},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5105637311935425},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45679500699043274},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4442515969276428},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.42785751819610596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4222661554813385},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2443883717060089},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.10341721773147583},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.09467819333076477},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08043354749679565}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.8578387498855591},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.7134270668029785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6956252455711365},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5671318769454956},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5294957756996155},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5283452272415161},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5105637311935425},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45679500699043274},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4442515969276428},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42785751819610596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4222661554813385},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2443883717060089},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.10341721773147583},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.09467819333076477},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08043354749679565},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp49357.2023.10095903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095903","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"},{"id":"pmh:oai::84287","is_oa":false,"landing_page_url":"https://eprints.iisc.ac.in/84287/1/Ica_iee_int_con_aco_spe_pro_pro_2023","pdf_url":null,"source":{"id":"https://openalex.org/S4306401429","display_name":"ePrints@IISc (Indian Institute of Science)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7599999904632568,"display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320308258","display_name":"Qualcomm","ror":"https://ror.org/002zrf773"},{"id":"https://openalex.org/F4320313176","display_name":"Robert Bosch","ror":"https://ror.org/02venad53"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1487641199","https://openalex.org/W1522301498","https://openalex.org/W2048291204","https://openalex.org/W2086921140","https://openalex.org/W2104095591","https://openalex.org/W2132663727","https://openalex.org/W2145803225","https://openalex.org/W2419501139","https://openalex.org/W2593414223","https://openalex.org/W2728304432","https://openalex.org/W2739748921","https://openalex.org/W2751565964","https://openalex.org/W2759973161","https://openalex.org/W2765094320","https://openalex.org/W2767609405","https://openalex.org/W2782599016","https://openalex.org/W2792263949","https://openalex.org/W2912298597","https://openalex.org/W2963746531","https://openalex.org/W2964201867","https://openalex.org/W2997863059","https://openalex.org/W3036167779","https://openalex.org/W3037675535","https://openalex.org/W3089876778","https://openalex.org/W3105013723","https://openalex.org/W3150807214","https://openalex.org/W3201409833","https://openalex.org/W4226376398","https://openalex.org/W4287117728","https://openalex.org/W4293363567","https://openalex.org/W4295521014","https://openalex.org/W4299412574","https://openalex.org/W4312933868","https://openalex.org/W4320013936","https://openalex.org/W6629354409","https://openalex.org/W6717434760","https://openalex.org/W6735913928","https://openalex.org/W6741832134","https://openalex.org/W6744283655","https://openalex.org/W6744629392","https://openalex.org/W6744644060","https://openalex.org/W6745535286","https://openalex.org/W6745903366","https://openalex.org/W6749927861","https://openalex.org/W6758706709","https://openalex.org/W6760005169","https://openalex.org/W6770847983","https://openalex.org/W6772288507","https://openalex.org/W6778946027","https://openalex.org/W6779535548","https://openalex.org/W6780315314","https://openalex.org/W6783832771","https://openalex.org/W6796864484","https://openalex.org/W6811291704"],"related_works":["https://openalex.org/W4293320219","https://openalex.org/W2953246223","https://openalex.org/W4283584549","https://openalex.org/W2554314924","https://openalex.org/W4288256692","https://openalex.org/W2998859928","https://openalex.org/W4381885966","https://openalex.org/W2969399009","https://openalex.org/W4398186750","https://openalex.org/W3151498616"],"abstract_inverted_index":{"Generative":[0],"adversarial":[1],"networks":[2,8],"(GANs)":[3],"comprise":[4],"generator":[5,60,102],"and":[6,81,126],"discriminator":[7,27],"trained":[9,105],"adversarially":[10],"to":[11,36,106,145],"learn":[12],"the":[13,24,34,37,52,59,62,66,91,108,111,119,127,141,150],"underlying":[14],"distribution":[15],"of":[16,65,87,94,110,131],"a":[17,48,74,85],"dataset.":[18],"Recently,":[19],"we":[20,56,72],"have":[21],"shown":[22],"that":[23,140,153],"optimal":[25,67],"GAN":[26],"can":[28],"be":[29],"obtained":[30],"in":[31,54,123],"closed-form":[32],"as":[33],"solution":[35],"Poisson":[38],"partial":[39],"differential":[40],"equation":[41],"(PDE).":[42],"While":[43],"existing":[44],"approaches":[45,125,152],"either":[46,154],"train":[47],"network":[49,156],"or":[50,157],"solve":[51],"PDE":[53],"closed-form,":[55],"propose":[57],"training":[58],"through":[61],"gradient":[63,92],"field":[64,93],"discriminator.":[68],"In":[69],"this":[70],"paper,":[71],"establish":[73],"connection":[75],"between":[76],"active":[77],"contour":[78],"models":[79],"(snakes)":[80],"GANs.":[82,132],"We":[83],"evolve":[84],"set":[86],"snake":[88],"points":[89],"over":[90],"radial":[95],"basis":[96],"function":[97],"(RBF)":[98],"Coulomb":[99],"GAN.":[100],"The":[101,113],"is":[103],"then":[104],"follow":[107],"trajectory":[109],"snake.":[112],"proposed":[114,142],"approach":[115,143],"benefits":[116],"from":[117],"both":[118],"sample":[120],"diversity":[121],"seen":[122],"flow-based":[124],"fast":[128],"sampling":[129],"capability":[130],"Experimental":[133],"validation":[134],"on":[135],"2-D":[136],"synthetic":[137],"data":[138],"shows":[139],"leads":[144],"accelerated":[146],"convergence,":[147],"compared":[148],"against":[149],"baseline":[151],"employ":[155],"kernel-based":[158],"discriminators.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}