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Variational autoencoders (VAEs) are a powerful class of deep generative latent variable model for unsupervised representation learning on high-dimensional data.
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GP-VAE: Deep Probabilistic Time Series Imputation
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Preventing Posterior Collapse with delta-VAEs
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