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dc.contributor.authorHeyrani Nobari, Amin
dc.contributor.authorChen, Wei
dc.contributor.authorAhmed, Faez
dc.date.accessioned2022-10-19T17:56:03Z
dc.date.available2022-10-19T17:56:03Z
dc.date.issued2021-08-14
dc.identifier.isbn978-1-4503-8332-5
dc.identifier.urihttps://hdl.handle.net/1721.1/145900
dc.publisherACM|Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Miningen_US
dc.relation.isversionofhttps://doi.org/10.1145/3447548.3467414en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceACM|Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Miningen_US
dc.titlePcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Designen_US
dc.typeArticleen_US
dc.identifier.citationHeyrani Nobari, Amin, Chen, Wei and Ahmed, Faez. 2021. "PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design."
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-10-19T15:22:16Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2022-10-19T15:22:16Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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