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  Nonstationary GANs: Analysis as Nonautonomous Dynamical Systems

Mehrjou, A., & Schölkopf, B. (2018). Nonstationary GANs: Analysis as Nonautonomous Dynamical Systems. In ICML 2018 workshop on Theoretical Foundations and Applications of Deep Generative Models. Retrieved from https://drive.google.com/file/d/1yHlkgiUkUzLWqgj5sTSiQb701-2Hg4Qa/view.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-A86D-6 Version Permalink: https://hdl.handle.net/21.11116/0000-0003-C956-A
Genre: Conference Paper

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 Creators:
Mehrjou, Arash1, Author           
Schölkopf, Bernhard1, Author           
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 2018
 Publication Status: Published online
 Pages: 8
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: URI: https://drive.google.com/file/d/1yHlkgiUkUzLWqgj5sTSiQb701-2Hg4Qa/view
 Degree: -

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Title: Theoretical Foundations and Applications of Deep Generative Models
Place of Event: Stockholm, Sweden
Start-/End Date: 2018-07-14 - 2018-07-15

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Title: ICML 2018 workshop on Theoretical Foundations and Applications of Deep Generative Models
Source Genre: Proceedings
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Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: URI: https://sites.google.com/view/tadgm/accepted-papers