Joost A. A. Opschoor

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Intensity Profile

Finite Element Method

Auto Associative

Top Venues

Comput. Math. Appl.

Found. Comput. Math.

Neural Networks

Publications

Joost A. A. Opschoor, Christoph Schwab
Neural Networks on Gevrey Classes with Point Singularities. CoRR (2024)
Joost A. A. Opschoor, Christoph Schwab, Christos Xenophontos
Neural Networks for Singular Perturbations. CoRR (2024)
Joost A. A. Opschoor, Christoph Schwab
Deep ReLU networks and high-order finite element methods II: Chebyšev emulation. Comput. Math. Appl. 169 (2024)
Carlo Marcati, Joost A. A. Opschoor, Philipp C. Petersen, Christoph Schwab
Exponential ReLU Neural Network Approximation Rates for Point and Edge Singularities. Found. Comput. Math. 23 (3) (2023)
Marcello Longo, Joost A. A. Opschoor, Nico Disch, Christoph Schwab, Jakob Zech
De Rham compatible Deep Neural Network FEM. Neural Networks 165 (2023)
Joost A. A. Opschoor, Christoph Schwab
Deep ReLU networks and high-order finite element methods II: Chebyshev emulation. CoRR (2023)
Lukas Herrmann, Joost A. A. Opschoor, Christoph Schwab
Constructive Deep ReLU Neural Network Approximation. J. Sci. Comput. 90 (1) (2022)
Marcello Longo, Joost A. A. Opschoor, Nico Disch, Christoph Schwab, Jakob Zech
De Rham compatible Deep Neural Networks. CoRR (2022)
Carlo Marcati, Joost A. A. Opschoor, Philipp C. Petersen, Christoph Schwab
Exponential ReLU Neural Network Approximation Rates for Point and Edge Singularities. CoRR (2020)