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05/11/2023
Hyperbolic Deep Learning in Computer Vision: A Survey
Deep representation learning is a ubiquitous part of modern computer vis...
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07/14/2022
Strain-Minimizing Hyperbolic Network Embeddings with Landmarks
We introduce L-hydra (landmarked hyperbolic distance recovery and approx...
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06/28/2021
Hyperbolic Busemann Learning with Ideal Prototypes
Hyperbolic space has become a popular choice of manifold for representat...
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10/15/2020
A Theory of Hyperbolic Prototype Learning
We introduce Hyperbolic Prototype Learning, a type of supervised learnin...
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03/21/2019
Hydra: A method for strain-minimizing hyperbolic embedding
We introduce hydra (hyperbolic distance recovery and approximation), a n...
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11/21/2017
Detecting independence of random vectors I. Generalized distance covariance and Gaussian covariance
Distance covariance is a quantity to measure the dependence of two rando...
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11/21/2017