tvGP-VAE: Tensor-variate Gaussian Process Prior Variational Autoencoder

8 Jun 2020Alex CampbellPietro Liò

Variational autoencoders (VAEs) are a powerful class of deep generative latent variable model for unsupervised representation learning on high-dimensional data. To ensure computational tractability, VAEs are often implemented with a univariate standard Gaussian prior and a mean-field Gaussian variational posterior distribution... (read more)

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