English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 Local TagsRelease HistoryDetailsSummary
  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/.

Item is

 

show all hide all

Basic

show hide
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

Files

show Files

Locators

show

Creators

show
hide
 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              

Content

show
hide
Free keywords: Abt. Schölkopf
 Abstract: -

Details

show
hide
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: -

Event

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

Legal Case

show

Project information

show

Source 1

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