Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows

Normalizing flows are generative models that provide tractable density estimation via an invertible transformation from a simple base distribution to a complex target distribution. However, this technique cannot directly model data supported on an unknown low-dimensional manifold, a common occurrenc...

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Hauptverfasser:	Ross, Brendan Leigh, Cresswell, Jesse C
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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