dc.contributor.author | Jeewajee, Adarsh K | |
dc.contributor.author | Kaelbling, Leslie P | |
dc.date.accessioned | 2022-07-13T15:27:35Z | |
dc.date.available | 2022-07-13T15:27:35Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/143706 | |
dc.language.iso | en | |
dc.relation.isversionof | https://papers.nips.cc/paper/2020/hash/95424358822e753eb993c97ee76a9076-Abstract.html | en_US |
dc.rights | Article 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.source | Neural Information Processing Systems (NIPS) | en_US |
dc.title | Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Jeewajee, 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.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | |
dc.relation.journal | ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS (NEURIPS 2020) | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
dc.date.updated | 2022-07-13T15:23:38Z | |
dspace.orderedauthors | Jeewajee, AK; Kaelbling, LP | en_US |
dspace.date.submission | 2022-07-13T15:23:40Z | |
mit.journal.volume | 33 | en_US |
mit.license | PUBLISHER_POLICY | |
mit.metadata.status | Authority Work and Publication Information Needed | en_US |