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20172020
most citedStructured Black Box Variational Inference for Latent Time Series Models

9 citations · 30 across the 7 of their papers we have counts for

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eess.IV2020

Improving Inference for Neural Image Compression

Yibo Yang, Robert Bamler, Stephan Mandt

We consider the problem of lossy image compression with deep latent variable models. State-of-the-art methods build on hierarchical variational autoencoders (VAEs) and learn infere…

eess.IV2020

Variational Bayesian Quantization

Yibo Yang, Robert Bamler, Stephan Mandt

We propose a novel algorithm for quantizing continuous latent representations in trained models. Our approach applies to deep probabilistic models, such as variational autoencoders…