Следене
Joost A. A. Opschoor
Joost A. A. Opschoor
ETH Zürich, Seminar for Applied Mathematics
Потвърден имейл адрес: sam.math.ethz.ch
Заглавие
Позовавания
Позовавания
Година
Deep ReLU networks and high-order finite element methods
JAA Opschoor, PC Petersen, C Schwab
Analysis and Applications 18 (05), 715-770, 2020
1412020
Exponential ReLU DNN expression of holomorphic maps in high dimension
JAA Opschoor, C Schwab, J Zech
Constructive Approximation 55 (1), 537-582, 2022
1102022
Exponential ReLU neural network approximation rates for point and edge singularities
C Marcati, JAA Opschoor, PC Petersen, C Schwab
Foundations of Computational Mathematics 23 (3), 1043-1127, 2023
282023
Constructive deep ReLU neural network approximation
L Herrmann, JAA Opschoor, C Schwab
Journal of Scientific Computing 90 (2), 75, 2022
282022
Deep learning in high dimension: ReLU network expression rates for bayesian PDE inversion
JAA Opschoor, C Schwab, J Zech
SAM Research Report 2020, 2020
112020
De Rham compatible Deep Neural Network FEM
M Longo, JAA Opschoor, N Disch, C Schwab, J Zech
arXiv preprint arXiv:2201.05395, 2022
92022
De Rham compatible deep neural network FEM
M Longo, JAA Opschoor, N Disch, C Schwab, J Zech
Neural Networks 165, 721-739, 2023
72023
Deep learning in high dimension: ReLU neural network expression for Bayesian PDE inversion
JAA Opschoor, C Schwab, J Zech
Optimization and Control for Partial Differential Equations: Uncertainty …, 2022
62022
Deep ReLU networks and high-order finite element methods II: Chebyshev emulation
JAA Opschoor, C Schwab
arXiv preprint arXiv:2310.07261, 2023
42023
Constructive deep neural network approximations of weighted analytic solutions to partial differential equations in polygons
JAA Opschoor
ETH Zurich, 2023
32023
Neural Networks for Singular Perturbations
JAA Opschoor, C Schwab, C Xenophontos
arXiv preprint arXiv:2401.06656, 2024
22024
Exponential Expressivity of ReLU Neural Networks on Gevrey Classes with Point Singularities
JAA Opschoor, C Schwab
arXiv preprint arXiv:2403.02035, 2024
2024
Deep learning in high dimension: ReLU neural network expression for Bayesian PDE inversion (extended version)
JAA Opschoor, C Schwab, J Zech
2020
Neural Networks for Singularly Perturbed Problems
JAA Opschoor, C Schwab, C Xenophontos
BOOK OF ABSTRACTS, 12, 0
ReLU DNN expression of sparse gpc expansion in uncertainty quantification
JAA Opschoor, C Schwab
Exponential Deep Neural Network Expression for Solution Sets of PDEs Christoph Schwab Seminar for Applied Mathematics ETH Zürich, Switzerland
J Opschoor, CM ETH, L Gonon, L Herrmann, P Petersen, J Zech
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