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dc.contributor.authorYang, Karren
dc.contributor.authorGoldman, Samuel
dc.contributor.authorJin, Wengong
dc.contributor.authorLu, Alex X
dc.contributor.authorBarzilay, Regina
dc.contributor.authorJaakkola, Tommi
dc.contributor.authorUhler, Caroline
dc.date.accessioned2022-06-21T18:48:03Z
dc.date.available2022-06-21T18:48:03Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/143524
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionof10.1109/CVPR46437.2021.00662en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleMol2Image: Improved Conditional Flow Models for Molecule to Image Synthesisen_US
dc.typeArticleen_US
dc.identifier.citationYang, Karren, Goldman, Samuel, Jin, Wengong, Lu, Alex X, Barzilay, Regina et al. 2021. "Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis." 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Information and Decision Systems
dc.contributor.departmentMassachusetts Institute of Technology. Computational and Systems Biology Program
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.relation.journal2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-06-21T18:41:07Z
dspace.orderedauthorsYang, K; Goldman, S; Jin, W; Lu, AX; Barzilay, R; Jaakkola, T; Uhler, Cen_US
dspace.date.submission2022-06-21T18:41:16Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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