Christoph Schwab

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Joost A. A. Opschoor

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Publications

2024
[j121]
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Joost A. A. Opschoor, Christoph Schwab:
Deep ReLU networks and high-order finite element methods II: Chebyšev emulation. Comput. Math. Appl. 169: 142-162 (2024)
[i35]
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  - journals/corr/abs-2401-06656
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Joost A. A. Opschoor, Christoph Schwab, Christos Xenophontos:
Neural Networks for Singular Perturbations. CoRR abs/2401.06656 (2024)
[i33]
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  - journals/corr/abs-2403-02035
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Joost A. A. Opschoor, Christoph Schwab:
Exponential Expressivity of ReLU^k Neural Networks on Gevrey Classes with Point Singularities. CoRR abs/2403.02035 (2024)
2023
[j118]
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  - journals/focm/MarcatiOPS23
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Carlo Marcati, Joost A. A. Opschoor, Philipp Christian Petersen, Christoph Schwab:
Exponential ReLU Neural Network Approximation Rates for Point and Edge Singularities. Found. Comput. Math. 23(3): 1043-1127 (2023)
[j114]
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  - journals/nn/LongoODSZ23
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Marcello Longo, Joost A. A. Opschoor, Nico Disch, Christoph Schwab, Jakob Zech:
De Rham compatible Deep Neural Network FEM. Neural Networks 165: 721-739 (2023)
[i24]
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  - journals/corr/abs-2310-07261
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Joost A. A. Opschoor, Christoph Schwab:
Deep ReLU networks and high-order finite element methods II: Chebyshev emulation. CoRR abs/2310.07261 (2023)
2022
[j110]
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  - journals/jscic/HerrmannOS22
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Lukas Herrmann, Joost A. A. Opschoor, Christoph Schwab:
Constructive Deep ReLU Neural Network Approximation. J. Sci. Comput. 90(1): 75 (2022)
[i22]
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  - journals/corr/abs-2201-05395
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Marcello Longo, Joost A. A. Opschoor, Nico Disch, Christoph Schwab, Jakob Zech:
De Rham compatible Deep Neural Networks. CoRR abs/2201.05395 (2022)
2020
[i3]
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  - journals/corr/abs-2010-12217
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Carlo Marcati, Joost A. A. Opschoor, Philipp Christian Petersen, Christoph Schwab:
Exponential ReLU Neural Network Approximation Rates for Point and Edge Singularities. CoRR abs/2010.12217 (2020)

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