Towards optimal transport with global invariances

Many problems in machine learning involve calculating correspondences between sets of objects, such as point clouds or images. Discrete optimal transport provides a natural and successful approach to such tasks whenever the two sets of objects can be represented in the same space, or at least distan...

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Bibliographic Details
Main Authors: Alvarez Melis, David (Author), Jegelka, Stefanie Sabrina (Author), Jaakkola, Tommi S (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: JMLR, 2021-01-11T17:20:16Z.
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