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dc.contributor.authorJeewajee, Adarsh K
dc.contributor.authorKaelbling, Leslie P
dc.date.accessioned2022-07-13T15:27:35Z
dc.date.available2022-07-13T15:27:35Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/143706
dc.language.isoen
dc.relation.isversionofhttps://papers.nips.cc/paper/2020/hash/95424358822e753eb993c97ee76a9076-Abstract.htmlen_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceNeural Information Processing Systems (NIPS)en_US
dc.titleAdversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Modelsen_US
dc.typeArticleen_US
dc.identifier.citationJeewajee, Adarsh K and Kaelbling, Leslie P. 2020. "Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models." ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS (NEURIPS 2020), 33.
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.relation.journalADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS (NEURIPS 2020)en_US
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.updated2022-07-13T15:23:38Z
dspace.orderedauthorsJeewajee, AK; Kaelbling, LPen_US
dspace.date.submission2022-07-13T15:23:40Z
mit.journal.volume33en_US
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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