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Joost A. A. Opschoor
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2020 – today
- 2024
- [j4]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) - [i5]Joost A. A. Opschoor, Christoph Schwab, Christos Xenophontos:
Neural Networks for Singular Perturbations. CoRR abs/2401.06656 (2024) - [i4]Joost A. A. Opschoor, Christoph Schwab:
Exponential Expressivity of ReLUk Neural Networks on Gevrey Classes with Point Singularities. CoRR abs/2403.02035 (2024) - 2023
- [j3]Carlo Marcati
Exponential ReLU Neural Network Approximation Rates for Point and Edge Singularities. Found. Comput. Math. 23(3): 1043-1127 (2023) - [j2]Marcello Longo
De Rham compatible Deep Neural Network FEM. Neural Networks 165: 721-739 (2023) - [i3]Joost A. A. Opschoor, Christoph Schwab:
Deep ReLU networks and high-order finite element methods II: Chebyshev emulation. CoRR abs/2310.07261 (2023) - 2022
- [j1]Lukas Herrmann
Constructive Deep ReLU Neural Network Approximation. J. Sci. Comput. 90(1): 75 (2022) - [i2]Marcello Longo, Joost A. A. Opschoor, Nico Disch, Christoph Schwab, Jakob Zech:
De Rham compatible Deep Neural Networks. CoRR abs/2201.05395 (2022) - 2020
- [i1]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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