Continuous hierarchical representations with poincaré Variational Auto-Encoder

Continuous hierarchical representations with poincaré Variational Auto-Encoder

The Variational Auto-Encoder (VAE) is a popular method for learning a generative model and embeddings of the data. Many real datasets are hierarchically structured. However, traditional VAEs map data in a Euclidean latent space which cannot efficiently embed tree-like structures. Hyperbolic spaces w...

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Dettagli Bibliografici
Autori principali:	Mathieu,E, Le Lan, C, Maddison, CJ, Tomioka, R, Teh, YW
Natura:	Conference item
Lingua:	English
Pubblicazione:	Curran Associates 2019

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