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Law et al., 2019 - Google Patents

Lorentzian distance learning for hyperbolic representations

Law et al., 2019

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Document ID
18031661823590377058
Author
Law M
Liao R
Snell J
Zemel R
Publication year
Publication venue
International conference on machine learning

External Links

Snippet

We introduce an approach to learn representations based on the Lorentzian distance in hyperbolic geometry. Hyperbolic geometry is especially suited to hierarchically-structured datasets, which are prevalent in the real world. Current hyperbolic representation learning …
Continue reading at proceedings.mlr.press (PDF) (other versions)

Classifications

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