{"id":"https://openalex.org/W4399758679","doi":"https://doi.org/10.1145/3649329.3656543","title":"CircuitVAE: Efficient and Scalable Latent Circuit Optimization","display_name":"CircuitVAE: Efficient and Scalable Latent Circuit Optimization","publication_year":2024,"publication_date":"2024-06-23","ids":{"openalex":"https://openalex.org/W4399758679","doi":"https://doi.org/10.1145/3649329.3656543"},"language":"en","primary_location":{"id":"doi:10.1145/3649329.3656543","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3649329.3656543","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3649329.3656543?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 61st ACM/IEEE Design Automation Conference","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3649329.3656543?download=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101488256","display_name":"Jialin Song","orcid":"https://orcid.org/0000-0001-5633-9909"},"institutions":[{"id":"https://openalex.org/I4210094346","display_name":"Hispanics in Philanthropy","ror":"https://ror.org/008aybb74","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210094346"]},{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jialin Song","raw_affiliation_strings":["NVIDIA, Santa Clara, CA, United States","NVIDIA, USA","Hippocratic AI, USA JONATHAN RAIMAN,"],"raw_orcid":"https://orcid.org/0000-0001-5633-9909","affiliations":[{"raw_affiliation_string":"NVIDIA, Santa Clara, CA, United States","institution_ids":["https://openalex.org/I4210127875"]},{"raw_affiliation_string":"NVIDIA, USA","institution_ids":["https://openalex.org/I4210127875"]},{"raw_affiliation_string":"Hippocratic AI, USA JONATHAN RAIMAN,","institution_ids":["https://openalex.org/I4210094346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012493437","display_name":"Aidan Swope","orcid":"https://orcid.org/0009-0006-4685-8709"},"institutions":[{"id":"https://openalex.org/I4210094346","display_name":"Hispanics in Philanthropy","ror":"https://ror.org/008aybb74","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210094346"]},{"id":"https://openalex.org/I4210096032","display_name":"Harmonic (United States)","ror":"https://ror.org/00rarw420","country_code":"US","type":"company","lineage":["https://openalex.org/I4210096032"]},{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aidan Swope","raw_affiliation_strings":["Harmonic, Santa Clara, CA, United States","NVIDIA, USA","BRYAN CATANZARO, NVIDIA, USA","Hippocratic AI, USA JONATHAN RAIMAN,"],"raw_orcid":"https://orcid.org/0009-0006-4685-8709","affiliations":[{"raw_affiliation_string":"Harmonic, Santa Clara, CA, United States","institution_ids":["https://openalex.org/I4210096032"]},{"raw_affiliation_string":"NVIDIA, USA","institution_ids":["https://openalex.org/I4210127875"]},{"raw_affiliation_string":"BRYAN CATANZARO, NVIDIA, USA","institution_ids":[]},{"raw_affiliation_string":"Hippocratic AI, USA JONATHAN RAIMAN,","institution_ids":["https://openalex.org/I4210094346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104192580","display_name":"Robert Kirby","orcid":"https://orcid.org/0000-0002-4588-3922"},"institutions":[{"id":"https://openalex.org/I4210094346","display_name":"Hispanics in Philanthropy","ror":"https://ror.org/008aybb74","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210094346"]},{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Kirby","raw_affiliation_strings":["NVIDIA, San Francisco, CA, United States","NVIDIA, USA","Hippocratic AI, USA JONATHAN RAIMAN,"],"raw_orcid":"https://orcid.org/0000-0002-4588-3922","affiliations":[{"raw_affiliation_string":"NVIDIA, San Francisco, CA, United States","institution_ids":["https://openalex.org/I4210127875"]},{"raw_affiliation_string":"NVIDIA, USA","institution_ids":["https://openalex.org/I4210127875"]},{"raw_affiliation_string":"Hippocratic AI, USA JONATHAN RAIMAN,","institution_ids":["https://openalex.org/I4210094346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032799025","display_name":"Rajarshi Roy","orcid":"https://orcid.org/0000-0003-4548-2114"},"institutions":[{"id":"https://openalex.org/I4210094346","display_name":"Hispanics in Philanthropy","ror":"https://ror.org/008aybb74","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210094346"]},{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rajarshi Roy","raw_affiliation_strings":["NVIDIA, Santa Clara, CA, United States","NVIDIA, USA","Hippocratic AI, USA JONATHAN RAIMAN,"],"raw_orcid":"https://orcid.org/0000-0003-4548-2114","affiliations":[{"raw_affiliation_string":"NVIDIA, Santa Clara, CA, United States","institution_ids":["https://openalex.org/I4210127875"]},{"raw_affiliation_string":"NVIDIA, USA","institution_ids":["https://openalex.org/I4210127875"]},{"raw_affiliation_string":"Hippocratic AI, USA JONATHAN RAIMAN,","institution_ids":["https://openalex.org/I4210094346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076191186","display_name":"Saad Godil","orcid":"https://orcid.org/0000-0002-6469-2064"},"institutions":[{"id":"https://openalex.org/I4210094346","display_name":"Hispanics in Philanthropy","ror":"https://ror.org/008aybb74","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210094346"]},{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saad Godil","raw_affiliation_strings":["Hippocratic AI, Santa Clara, CA, United States","NVIDIA, USA","BRYAN CATANZARO, NVIDIA, USA"],"raw_orcid":"https://orcid.org/0000-0002-6469-2064","affiliations":[{"raw_affiliation_string":"Hippocratic AI, Santa Clara, CA, United States","institution_ids":["https://openalex.org/I4210094346"]},{"raw_affiliation_string":"NVIDIA, USA","institution_ids":["https://openalex.org/I4210127875"]},{"raw_affiliation_string":"BRYAN CATANZARO, NVIDIA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058844317","display_name":"Jonathan Raiman","orcid":"https://orcid.org/0009-0000-5229-7318"},"institutions":[{"id":"https://openalex.org/I4210094346","display_name":"Hispanics in Philanthropy","ror":"https://ror.org/008aybb74","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210094346"]},{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan Raiman","raw_affiliation_strings":["NVIDIA, San Francisco, CA, United States","Hippocratic AI, USA JONATHAN RAIMAN,","NVIDIA, USA"],"raw_orcid":"https://orcid.org/0009-0000-5229-7318","affiliations":[{"raw_affiliation_string":"NVIDIA, San Francisco, CA, United States","institution_ids":["https://openalex.org/I4210127875"]},{"raw_affiliation_string":"Hippocratic AI, USA JONATHAN RAIMAN,","institution_ids":["https://openalex.org/I4210094346"]},{"raw_affiliation_string":"NVIDIA, USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066242985","display_name":"Bryan Catanzaro","orcid":"https://orcid.org/0000-0003-0034-7728"},"institutions":[{"id":"https://openalex.org/I4210094346","display_name":"Hispanics in Philanthropy","ror":"https://ror.org/008aybb74","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210094346"]},{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bryan Catanzaro","raw_affiliation_strings":["NVIDIA, Santa Clara, CA, United States","Hippocratic AI, USA JONATHAN RAIMAN,","NVIDIA, USA"],"raw_orcid":"https://orcid.org/0000-0003-0034-7728","affiliations":[{"raw_affiliation_string":"NVIDIA, Santa Clara, CA, United States","institution_ids":["https://openalex.org/I4210127875"]},{"raw_affiliation_string":"Hippocratic AI, USA JONATHAN RAIMAN,","institution_ids":["https://openalex.org/I4210094346"]},{"raw_affiliation_string":"NVIDIA, USA","institution_ids":["https://openalex.org/I4210127875"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101488256"],"corresponding_institution_ids":["https://openalex.org/I4210094346","https://openalex.org/I4210127875"],"apc_list":null,"apc_paid":null,"fwci":1.0014,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75376699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9980999827384949,"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9980999827384949,"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/T10363","display_name":"Low-power high-performance VLSI design","score":0.9968000054359436,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.992900013923645,"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":0.7685668468475342},{"id":"https://openalex.org/keywords/adder","display_name":"Adder","score":0.6790525317192078},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6602938771247864},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.5657987594604492},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.5601744055747986},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5107486248016357},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.49906158447265625},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.45424139499664307},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4164547622203827},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3853997588157654},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27111977338790894},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.13575753569602966},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08511054515838623}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7685668468475342},{"id":"https://openalex.org/C164620267","wikidata":"https://www.wikidata.org/wiki/Q376953","display_name":"Adder","level":3,"score":0.6790525317192078},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6602938771247864},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.5657987594604492},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.5601744055747986},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5107486248016357},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.49906158447265625},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.45424139499664307},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4164547622203827},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3853997588157654},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27111977338790894},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.13575753569602966},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08511054515838623},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3649329.3656543","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3649329.3656543","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3649329.3656543?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 61st ACM/IEEE Design Automation Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2406.09535","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.09535","pdf_url":"https://arxiv.org/pdf/2406.09535","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3649329.3656543","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3649329.3656543","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3649329.3656543?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 61st ACM/IEEE Design Automation Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399758679.pdf"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1963965124","https://openalex.org/W1997582549","https://openalex.org/W2131647018","https://openalex.org/W2168543008","https://openalex.org/W2529996553","https://openalex.org/W2753738274","https://openalex.org/W2801844764","https://openalex.org/W3035236454","https://openalex.org/W3036696276","https://openalex.org/W3212488318"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4378510483","https://openalex.org/W4221142204"],"abstract_inverted_index":{"Automatically":[0],"designing":[1,84,103],"fast":[2],"and":[3,19,41,60,76,96,114,125],"space-efficient":[4],"digital":[5],"circuits":[6,10],"is":[7,66],"challenging":[8],"because":[9],"are":[11,20,123],"discrete,":[12],"must":[13],"exactly":[14],"implement":[15],"the":[16,57,131],"desired":[17],"logic,":[18],"costly":[21],"to":[22,72,111],"simulate.":[23],"We":[24,80,134],"address":[25],"these":[26],"challenges":[27],"with":[28],"CircuitVAE,":[29],"a":[30,38,43,88,143,155],"search":[31],"algorithm":[32,65],"that":[33,147],"embeds":[34],"computation":[35],"graphs":[36],"in":[37,142,154],"continuous":[39],"space":[40],"optimizes":[42],"learned":[44],"surrogate":[45,59],"of":[46,56,91],"physical":[47],"simulation":[48,58],"by":[49,83],"gradient":[50],"descent.":[51],"By":[52],"carefully":[53],"controlling":[54],"overfitting":[55],"ensuring":[61],"diverse":[62],"exploration,":[63],"our":[64,148],"highly":[67],"sample-efficient,":[68],"yet":[69],"gracefully":[70],"scales":[71],"large":[73,89,104],"problem":[74],"instances":[75],"high":[77],"sample":[78,97,132],"budgets.":[79,98],"test":[81],"CircuitVAE":[82,117,137],"binary":[85],"adders":[86,121,141],"across":[87],"range":[90],"sizes,":[92],"IO":[93],"timing":[94],"constraints,":[95],"Our":[99],"method":[100,149],"excels":[101],"at":[102],"circuits,":[105],"where":[106],"other":[107],"algorithms":[108],"struggle:":[109],"compared":[110],"reinforcement":[112],"learning":[113],"genetic":[115],"algorithms,":[116],"typically":[118],"finds":[119],"64-bit":[120],"which":[122],"smaller":[124],"faster":[126],"using":[127],"less":[128],"than":[129],"half":[130],"budget.":[133],"also":[135],"find":[136],"can":[138,150],"design":[139],"state-of-the-art":[140],"real-world":[144],"chip,":[145],"demonstrating":[146],"outperform":[151],"commercial":[152],"tools":[153],"realistic":[156],"setting.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-11T06:11:40.159057","created_date":"2025-10-10T00:00:00"}
