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  2. Milsted, Ashley [Author] ; Osborne, Tobias J. [Contributor]; Klempt, Carsten [Contributor]; Schuch, Norbert [Contributor]

    Tensor network methods for quantum lattice systems - [published Version]

    Thesis
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    Hannover : Gottfried Wilhelm Leibniz Universität Hannover, 2016

  5. Sanz Ruiz, Mikel [Author] ; Cirac, Ignacio (Prof., Ph.D.) [Contributor]; Cirac, Ignacio (Prof., Ph.D.);Ibarra, Alejandro [Contributor]

    Tensor Networks in Condensed Matter ; Tensornetzwerke in Kondensierter Materie

    Thesis
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    Technical University of Munich; Technische Universität München, 2011-05-13

  12. Cai, Zongwu [Author]; Liu, Xiyuan [Author]; Su, Liangjun [Author]

    A functional-coefficient VAR model for dynamic quantiles and its application to constructing nonparametric financial network

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    Lawrence, Kansas: University of Kansas, Department of Economics, [2024]

    Published in: Working papers series in theoretical and applied economics ; 2024,6

  15. Eigel, Martin [Author]; Farchmin, Nando [Author]; Heidenreich, Sebastian [Author]; Trunschke, Philipp [Author]

    Efficient approximation of high-dimensional exponentials by tensor networks - [published Version]

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    Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik, 2021

  16. Zniyed, Yassine [Author] ; Université Paris-Saclay (ComUE) [Contributor]; Boyer, Rémy [Contributor]

    Breaking the curse of dimensionality based on tensor train : models and algorithms ; Gérer le fleau de la dimension à l'aide des trains de tenseurs : modèles et algorithmes

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    theses.fr, 2019-10-15

  18. Palczewski, Tomasz [Author] ; Lee, Jaejun [Contributor]; Mookiah, Lenin [Contributor]

    PRODUCTION-READY APPLIED DEEP LEARNING : learn how to construct and deploy complex models in PyTorch and TensorFlow deep learning frameworks

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    [Erscheinungsort nicht ermittelbar]: PACKT PUBLISHING LIMITED, 2022

  19. Götz, Markus [Author]; Coquelin, Daniel [Author]; Debus, Charlotte [Author]; Krajsek, Kai [Author]; Comito, Claudia [Author]; Knechtges, Philipp [Author]; Hagemeier, Björn [Author]; Tarnawa, Michael [Author]; Hanselmann, Simon [Author]; Siggel, Martin [Author]; Basermann, Achim [Author]; Streit, Achim [Author]

    HeAT – a Distributed and GPU-accelerated Tensor Framework for Data Analytics

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    KITopen (Karlsruhe Institute of Technologie), 2020-09-10

  20. Halle, Alex [Author]; Hasse, Alexander [Author]

    Topologieoptimierung mittels Deep Learning

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    Chemnitz: Technische Universität Chemnitz, [2019]

    Published in: 11. SAXON SIMULATION MEETING : Präsentationen und Vorträge des 11. Anwendertreffens am 26. März 2019 an der Technischen Universität Chemnitz