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  Learning stable and predictive structures in kinetic systems

Pfister, N., Bauer, S., & Peters, J. (2019). Learning stable and predictive structures in kinetic systems. Proceedings of the National Academy of Sciences of the United States of America, 116(51), 25405-25411. doi:10.1073/pnas.1905688116.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0006-D299-0 Version Permalink: https://hdl.handle.net/21.11116/0000-0006-D29A-F
Genre: Journal Article

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 Creators:
Pfister, Niklas1, Author
Bauer, Stefan2, Author           
Peters, Jonas1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: Abt. Schölkopf
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 Dates: 2019-11-27
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1073/pnas.1905688116
BibTex Citekey: PfiBauPet19
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Title: Proceedings of the National Academy of Sciences of the United States of America
  Other : Proc. Acad. Sci. USA
  Other : Proc. Acad. Sci. U.S.A.
  Other : Proceedings of the National Academy of Sciences of the USA
  Abbreviation : PNAS
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Washington, D.C. : National Academy of Sciences
Pages: - Volume / Issue: 116 (51) Sequence Number: - Start / End Page: 25405 - 25411 Identifier: ISSN: 0027-8424
CoNE: https://pure.mpg.de/cone/journals/resource/954925427230