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Decontextualized learning for interpretable hierarchical representations of visual patterns

View ORCID ProfileR. Ian Etheredge, Manfred Schartl, View ORCID ProfileAlex Jordan
doi: https://doi.org/10.1101/2020.08.25.266593
R. Ian Etheredge
1Department of Collective Behaviour, Max Planck Institute of Animal Behavior, Konstanz, Germany
2Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Konstanz, Germany
3Department of Biology, University of Konstanz, Konstanz, Germany
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  • For correspondence: ietheredge@ab.mpg.de
Manfred Schartl
4Centro de Investigaciones Científicas de las Huastecas Aguazarca, A.C., Calnali, Hidalgo, Mexico
5Developmental Biochemistry, Biocenter, University of Würzburg, Würzburg, Bavaria, Germany
6Hagler Institute for Advanced Study, Texas A&M University, College Station, TX, USA
7Xiphophorus Genetic Stock Center, Texas State University San Marcos, San Marcos, TX, USA
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Alex Jordan
1Department of Collective Behaviour, Max Planck Institute of Animal Behavior, Konstanz, Germany
2Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Konstanz, Germany
3Department of Biology, University of Konstanz, Konstanz, Germany
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Posted August 25, 2020.
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Decontextualized learning for interpretable hierarchical representations of visual patterns
R. Ian Etheredge, Manfred Schartl, Alex Jordan
bioRxiv 2020.08.25.266593; doi: https://doi.org/10.1101/2020.08.25.266593
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Decontextualized learning for interpretable hierarchical representations of visual patterns
R. Ian Etheredge, Manfred Schartl, Alex Jordan
bioRxiv 2020.08.25.266593; doi: https://doi.org/10.1101/2020.08.25.266593

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