Ultrahyperbolic Representation Learning

1 Jul 2020Marc T. LawJos Stam

In machine learning, data is usually represented in a (flat) Euclidean space where distances between points are along straight lines. Researchers have recently considered more exotic (non-Euclidean) Riemannian manifolds such as hyperbolic space which is well suited for tree-like data... (read more)

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