Training VAEs Under Structured Residuals

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Training VAEs Under Structured Residuals

3 April 2018

Lourdes Agapito

Neill D. F. Campbell

Ivor J. A. Simpson

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Papers citing "Training VAEs Under Structured Residuals"

6 / 6 papers shown

Title
Complex variational autoencoders admit Kähler structure Andrew Gracyk DRL 340 0 0 19 Nov 2025
Uncertainty Quantification via Neural Posterior Principal ComponentsNeural Information Processing Systems (NeurIPS), 2023 E. Nehme Omer Yair T. Michaeli UQCV 212 20 0 27 Sep 2023
Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image CovariancePhysics in Medicine and Biology (PMB), 2022 Margaret Duff Ivor J. A. Simpson Matthias Joachim Ehrhardt Neill D. F. Campbell DiffM MedIm 131 7 0 26 Oct 2022
Structured Recognition for Generative Models with Explaining AwayNeural Information Processing Systems (NeurIPS), 2022 Changmin Yu Hugo Soulat Neil Burgess M. Sahani CML BDL 258 3 0 12 Sep 2022
Introducing a new high-resolution handwritten digits data set with writer characteristics Cédric Beaulac Jeffrey S. Rosenthal 142 4 0 04 Nov 2020
The ELBO of Variational Autoencoders Converges to a Sum of Three EntropiesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Simon Damm D. Forster Dmytro Velychko Zhenwen Dai Asja Fischer Jörg Lücke DRL 460 8 0 28 Oct 2020