• Corpus ID: 227274821

The Autoencoding Variational Autoencoder

@article{Cemgil2020TheAV,
  title={The Autoencoding Variational Autoencoder},
  author={Ali Taylan Cemgil and Sumedh Ghaisas and Krishnamurthy Dvijotham and Sven Gowal and Pushmeet Kohli},
  journal={ArXiv},
  year={2020},
  volume={abs/2012.03715}
}
Does a Variational AutoEncoder (VAE) consistently encode typical samples generated from its decoder? This paper shows that the perhaps surprising answer to this question is `No'; a (nominally trained) VAE does not necessarily amortize inference for typical samples that it is capable of generating. We study the implications of this behaviour on the learned representations and also the consequences of fixing it by introducing a notion of self consistency. Our approach hinges on an alternative… 

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