Preliminary theoretical troubleshooting in Variational Autoencoder

ICLR 2018 Shiqi LiuQian ZhaoXiangyong CaoDeyu MengZilu MaTao Yu

What would be learned by variational autoencoder(VAE) and what influence the disentanglement of VAE? This paper tries to preliminarily address VAE's intrinsic dimension, real factor, disentanglement and indicator issues theoretically in the idealistic situation and implementation issue practically through noise modeling perspective in the realistic case... (read more)

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