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Lossless Compression using Continuously-Indexed Normalizing Flows
Recently, a class of deep generative models known as continuously-indexed flows (CIFs) have expanding the modelling capacity of normalizing flows (NFs) in the context of both density estimation and variational inference.
Feedback Recurrent Autoencoder for Video Compression
Recent advances in deep generative modeling have enabled efficient modeling of high dimensional data distributions and opened up a new horizon for solving data compression problems.
Faithful Inversion of Generative Models for Effective Amortized Inference
Inference amortization methods share information across multiple posterior-inference problems, allowing each to be carried out more efficiently.
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