Normalizing Flows on Riemannian Manifolds

no code implementations • 7 Nov 2016 • Mevlana C. Gemici, Danilo Rezende, Shakir Mohamed

In spite of the multitude of algorithms available for density estimation in the Euclidean spaces $\mathbf{R}^n$ that scale to large n (e. g. normalizing flows, kernel methods and variational approximations), most of these methods are not immediately suitable for density estimation in more general Riemannian manifolds.

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