Leveraging the Exact Likelihood of Deep Latent Variable Models

Deep latent variable models (DLVMs) combine the approximation abilities of deep neural networks and the statistical foundations of generative models. Variational methods are commonly used for inference; however, the exact likelihood of these models has been largely overlooked... (read more)

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