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  Conditional Flow Variational Autoencoders for Structured Sequence Prediction

Bhattacharyya, A., Hanselmann, M., Fritz, M., Schiele, B., & Straehle, C.-N. (in press). Conditional Flow Variational Autoencoders for Structured Sequence Prediction. In Bayesian Deep Learning NeurIPS 2019 Workshop.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0005-553C-9 Version Permalink: https://hdl.handle.net/21.11116/0000-0005-553D-8
Genre: Conference Paper

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 Creators:
Bhattacharyya, Apratim1, Author           
Hanselmann, Michael2, Author
Fritz, Mario2, Author           
Schiele, Bernt1, Author           
Straehle, Christoph-Nikolas2, Author
Affiliations:
1Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 2019
 Publication Status: Accepted / In Press
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Bhattacharyya_NIPSWorkshop2019
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Title: Bayesian Deep Learning NeurIPS 2019 Workshop
Place of Event: Vancouver, Canada
Start-/End Date: 2018-12-13 - 2018-12-13

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Title: Bayesian Deep Learning NeurIPS 2019 Workshop
  Other : NIPS 2019
Source Genre: Proceedings
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Publ. Info: -
Pages: 12 p. Volume / Issue: - Sequence Number: 10 Start / End Page: - Identifier: URI: http://bayesiandeeplearning.org/