Learning embeddings into entropic Wasserstein spaces

© 7th International Conference on Learning Representations, ICLR 2019. All Rights Reserved. Euclidean embeddings of data are fundamentally limited in their ability to capture latent semantic structures, which need not conform to Euclidean spatial assumptions. Here we consider an alternative, which e...

Full description

Bibliographic Details
Main Authors: Frogner, C, Solomon, J, Mirzazadeh, F
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: 2021
Online Access:https://hdl.handle.net/1721.1/137728

Similar Items