Disentangling disentanglement in variational autoencoders

Disentangling disentanglement in variational autoencoders

We develop a generalisation of disentanglement in variational autoencoders (VAEs)—decomposition of the latent representation—characterising it as the fulfilment of two factors: a) the latent encodings of the data having an appropriate level of overlap, and b) the aggregate encoding of the data confo...

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Autors principals:	Mathieu, E, Rainforth, T, Siddharth, N, Teh, Y
Format:	Conference item
Publicat:	PMLR 2019

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