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  Resampled Priors for Variational Autoencoders

Bauer, M., & Mnih, A. (2018). Resampled Priors for Variational Autoencoders. In Third workshop on Bayesian Deep Learning (NeurIPS 2018). Retrieved from http://bayesiandeeplearning.org/.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-BFA1-0 Version Permalink: https://hdl.handle.net/21.11116/0000-0003-BFA2-F
Genre: Conference Paper

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 Creators:
Bauer, M.1, Author           
Mnih, A.2, Author
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              
2External Organizations, ou_persistent22              

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Free keywords: Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 2018
 Publication Status: Published online
 Pages: 22
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: URI: http://bayesiandeeplearning.org/
 Degree: -

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Title: Third workshop on Bayesian Deep Learning
Place of Event: Montreal, Canada
Start-/End Date: 2018-12-07 - 2018-12-07

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Title: Third workshop on Bayesian Deep Learning (NeurIPS 2018)
  Other : Bayesian Deep Learning: NIPS 2018 Workshop
Source Genre: Proceedings
 Creator(s):
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Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: URI: http://bayesiandeeplearning.org