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  2. Gühring, Ingo [Author] ; Müller, Klaus-Robert [Degree supervisor]; Müller, Klaus-Robert [Other]; Grohs, Philipp [Other]; Bölcskei, Helmut [Other]

    Approximation with neural networks from a theoretical and practical perspective

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    Berlin: Technische Universität Berlin, 2022

  3. Welti, Timo [Author]; id_orcid0 000-0001-9161-3141 [Author] ; Jentzen, Arnulf [Contributor]; Grohs, Philipp [Contributor]; Kloeden, Peter [Contributor]; Mishra, Siddhartha [Contributor]

    High-dimensional Stochastic Approximation: Algorithms and Convergence Rates

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    ETH Zurich, 2020

  8. Grohs, Philipp [Author]; Hornung, Fabian [Author]; Jentzen, Arnulf [Author]; von Wurstemberger, Philippe [Author]

    A Proof that Artificial Neural Networks Overcome the Curse of Dimensionality in the Numerical Approximation of Black–Scholes Partial Differential Equations

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    American Mathematical Society, 2023-07-10

    Published in: Memoirs of the American Mathematical Society, 284 (1410) ; ISSN: 0065-9266, 1947-6221

  9. Grohs, Philipp [Author]; Hornung, Fabian [Author]; Jentzen, Arnulf [Author]; von Wurstemberger, Philippe [Author]

    A Proof that Artificial Neural Networks Overcome the Curse of Dimensionality in the Numerical Approximation of Black–Scholes Partial Differential Equations

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    KITopen (Karlsruhe Institute of Technologie), 2023-07-10