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  4. Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis

Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis

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2006.08532.pdf

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sword-2022-06-21T18:41:07.original.xml (130 B)
Original SWORD entry document
Author(s)
Yang, Karren
•
Goldman, Samuel
•
Jin, Wengong
•
Lu, Alex X
•
Barzilay, Regina
•
Jaakkola, Tommi
•
Uhler, Caroline
Date Issued
2021
Journal
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Yang, 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).
Version
Author's final manuscript
MIT Department
Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Massachusetts Institute of Technology. Computational and Systems Biology Program
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
http://creativecommons.org/licenses/by-nc-sa/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/143524
DOI of Published Version
https://doi.org/10.1109/CVPR46437.2021.00662
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