{"id":"https://openalex.org/W4409285473","doi":"https://doi.org/10.1145/3676536.3697122","title":"Generative Methods in EDA: Innovations in Dataset Generation and EDA Tool Assistants","display_name":"Generative Methods in EDA: Innovations in Dataset Generation and EDA Tool Assistants","publication_year":2024,"publication_date":"2024-10-27","ids":{"openalex":"https://openalex.org/W4409285473","doi":"https://doi.org/10.1145/3676536.3697122"},"language":"en","primary_location":{"id":"doi:10.1145/3676536.3697122","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3676536.3697122","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3676536.3697122","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3676536.3697122","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069179438","display_name":"Vidya A. Chhabria","orcid":"https://orcid.org/0000-0002-3273-0724"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vidya A. Chhabria","raw_affiliation_strings":["Arizona State University, Tempe, United States"],"raw_orcid":"https://orcid.org/0000-0002-3273-0724","affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, United States","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104315434","display_name":"Bing-Yue Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bing-Yue Wu","raw_affiliation_strings":["Arizona State University, Tempe, USA"],"raw_orcid":"https://orcid.org/0009-0004-6443-2934","affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102700659","display_name":"Utsav Sharma","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Utsav Sharma","raw_affiliation_strings":["New York University, Brooklyn, USA"],"raw_orcid":"https://orcid.org/0009-0002-4935-7476","affiliations":[{"raw_affiliation_string":"New York University, Brooklyn, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063963932","display_name":"Kishor Kunal","orcid":"https://orcid.org/0000-0003-3510-9850"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kishor Kunal","raw_affiliation_strings":["University of Minnesota, Minneapolis, USA"],"raw_orcid":"https://orcid.org/0000-0003-3510-9850","affiliations":[{"raw_affiliation_string":"University of Minnesota, Minneapolis, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043944816","display_name":"Austin Rovinski","orcid":"https://orcid.org/0000-0003-1761-1898"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Austin Rovinski","raw_affiliation_strings":["New York University, Brooklyn, USA"],"raw_orcid":"https://orcid.org/0000-0003-1761-1898","affiliations":[{"raw_affiliation_string":"New York University, Brooklyn, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068714995","display_name":"Sachin S. Sapatnekar","orcid":"https://orcid.org/0000-0002-5353-2364"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sachin S. Sapatnekar","raw_affiliation_strings":["University of Minnesota, Minneapolis, USA"],"raw_orcid":"https://orcid.org/0000-0002-5353-2364","affiliations":[{"raw_affiliation_string":"University of Minnesota, Minneapolis, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9986000061035156,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.6853288412094116},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5763785243034363},{"id":"https://openalex.org/keywords/electronic-design-automation","display_name":"Electronic design automation","score":0.4356377124786377},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4111960828304291},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3938947021961212},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.368664026260376},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.36181387305259705},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.17800337076187134}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6853288412094116},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5763785243034363},{"id":"https://openalex.org/C64260653","wikidata":"https://www.wikidata.org/wiki/Q1194864","display_name":"Electronic design automation","level":2,"score":0.4356377124786377},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4111960828304291},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3938947021961212},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.368664026260376},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.36181387305259705},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.17800337076187134}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3676536.3697122","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3676536.3697122","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3676536.3697122","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3676536.3697122","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3676536.3697122","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3676536.3697122","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409285473.pdf","grobid_xml":"https://content.openalex.org/works/W4409285473.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1566289585","https://openalex.org/W1861492603","https://openalex.org/W1988674287","https://openalex.org/W2112173236","https://openalex.org/W2117539524","https://openalex.org/W2124618076","https://openalex.org/W2173520492","https://openalex.org/W2766527293","https://openalex.org/W2785678896","https://openalex.org/W2904367110","https://openalex.org/W2927828508","https://openalex.org/W2963675401","https://openalex.org/W2963981733","https://openalex.org/W2970112944","https://openalex.org/W3007166982","https://openalex.org/W3112095301","https://openalex.org/W3118608800","https://openalex.org/W3128330332","https://openalex.org/W3149694916","https://openalex.org/W4200338900","https://openalex.org/W4378508556","https://openalex.org/W4386794762","https://openalex.org/W4388040405","https://openalex.org/W4389160809","https://openalex.org/W4389814505","https://openalex.org/W4393305455","https://openalex.org/W4402172393","https://openalex.org/W4403024068","https://openalex.org/W4403622922","https://openalex.org/W6637568146","https://openalex.org/W6639102338","https://openalex.org/W6750569170","https://openalex.org/W6759401939","https://openalex.org/W6771275388","https://openalex.org/W6852449896","https://openalex.org/W6858189809"],"related_works":["https://openalex.org/W2380075625","https://openalex.org/W4390718435","https://openalex.org/W4390549206","https://openalex.org/W3137171911","https://openalex.org/W4379540039","https://openalex.org/W4237784285","https://openalex.org/W2374712251","https://openalex.org/W4383031710","https://openalex.org/W3211753092","https://openalex.org/W4312076519"],"abstract_inverted_index":{"The":[0],"electronic":[1],"design":[2],"automation":[3],"(EDA)":[4],"community":[5],"has":[6],"recently":[7],"begun":[8],"recognizing":[9],"the":[10,30,46,58,104,119],"potential":[11,23],"of":[12,33,49,60,68,95,106],"generative":[13,50,62,87,107],"artificial":[14],"intelligence":[15],"(AI)":[16],"in":[17,41,52,123],"chip":[18],"design.":[19],"However,":[20],"its":[21],"full":[22],"is":[24],"not":[25],"fully":[26],"exploited":[27],"due":[28],"to":[29,65,77,90,109,114,121],"limited":[31],"availability":[32],"publicly":[34],"accessible":[35],"datasets":[36,113],"crucial":[37],"for":[38,71],"advancing":[39],"research":[40,92,116],"EDA.":[42,124],"This":[43],"paper":[44],"highlights":[45],"dual":[47],"role":[48],"AI;":[51],"particular,":[53],"it":[54],"showcases":[55],"(i)":[56],"BeGAN,":[57],"use":[59],"a":[61],"AI":[63],"strategy":[64],"create":[66,110],"thousands":[67],"realistic":[69],"benchmarks":[70],"power":[72],"grid":[73],"synthesis":[74],"and":[75,81,86,93,111,117],"analysis":[76],"advance":[78,115],"power-related":[79],"research,":[80],"(ii)":[82],"EDA":[83,96],"Corpus---an":[84],"expert-curated":[85],"AI-enhanced":[88],"dataset":[89],"serve":[91],"development":[94],"tool":[97],"assistants.":[98],"These":[99],"two":[100],"case":[101],"studies":[102],"emphasize":[103],"ability":[105],"methods":[108],"utilize":[112],"lower":[118],"barriers":[120],"entry":[122]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}