Introduces conformal and holomorphic barycenters and Möbius-type probability families on hyperbolic balls, together with hyperbolic gradient and maximum likelihood estimation algorithms.
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A group-theoretic framework for machine learning in hyperbolic spaces
Introduces conformal and holomorphic barycenters and Möbius-type probability families on hyperbolic balls, together with hyperbolic gradient and maximum likelihood estimation algorithms.