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Joost A. A. Opschoor
Joost A. A. Opschoor
ETH Zürich, Seminar for Applied Mathematics
Verified email at sam.math.ethz.ch
Title
Cited by
Cited by
Year
Deep ReLU networks and high-order finite element methods
JAA Opschoor, PC Petersen, C Schwab
Analysis and Applications 18 (05), 715-770, 2020
1322020
Exponential ReLU DNN expression of holomorphic maps in high dimension
JAA Opschoor, C Schwab, J Zech
Constructive Approximation 55 (1), 537-582, 2022
1002022
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
252023
Constructive deep ReLU neural network approximation
L Herrmann, JAA Opschoor, C Schwab
Journal of Scientific Computing 90 (2), 75, 2022
232022
Deep learning in high dimension: ReLU network expression rates for bayesian PDE inversion
JAA Opschoor, C Schwab, J Zech
SAM Research Report 2020, 2020
102020
De Rham compatible Deep Neural Network FEM
M Longo, JAA Opschoor, N Disch, C Schwab, J Zech
arXiv preprint arXiv:2201.05395, 2022
92022
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
De Rham compatible deep neural network FEM
M Longo, JAA Opschoor, N Disch, C Schwab, J Zech
Neural Networks, 2023
22023
Constructive deep neural network approximations of weighted analytic solutions to partial differential equations in polygons
JAA Opschoor
ETH Zurich, 2023
22023
Deep ReLU networks and high-order finite element methods II: Chebyshev emulation
JAA Opschoor, C Schwab
arXiv preprint arXiv:2310.07261, 2023
12023
Neural Networks for Singular Perturbations
JAA Opschoor, C Schwab, C Xenophontos
arXiv preprint arXiv:2401.06656, 2024
2024
Deep learning in high dimension: ReLU neural network expression for Bayesian PDE inversion (extended version)
JAA Opschoor, C Schwab, J Zech
2020
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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