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We investigate a variant of variational autoencoders where there is a superstructure of discrete latent variables on top of the latent features.
Some methods for classification and analysis of multivariate observations
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Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
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Nonparametric variational auto-encoders for hierarchical representation learning
Prasoon Goyal, Zhiting Hu, Xiaodan Liang, Chenyu Wang, and Eric Xing · 2017
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Improved deep embedded clustering with local structure preservation
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Inference suboptimality in variational autoencoders
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Tighter variational bounds are not necessarily better
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