Latent Variables on Spheres for Autoencoders in High Dimensions

21 Dec 2019Deli ZhaoJiapeng ZhuBo Zhang

Variational Auto-Encoder (VAE) has been widely applied as a fundamental generative model in machine learning. For complex samples like imagery objects or scenes, however, VAE suffers from the dimensional dilemma between reconstruction precision that needs high-dimensional latent codes and probabilistic inference that favors a low-dimensional latent space... (read more)

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