Joost A. A. Opschoor

According to our database, Joost A. A. Opschoor authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

First Order System Least Squares Neural Networks.

Joost A. A. Opschoor, Philipp Christian Petersen, Christoph Schwab

CoRR, 2024

Exponential Expressivity of ReLU^k Neural Networks on Gevrey Classes with Point Singularities.

Joost A. A. Opschoor, Christoph Schwab

CoRR, 2024

Neural Networks for Singular Perturbations.

Joost A. A. Opschoor, Christoph Schwab, Christos Xenophontos

CoRR, 2024

Deep ReLU networks and high-order finite element methods II: Chebyšev emulation.

Joost A. A. Opschoor, Christoph Schwab

Comput. Math. Appl., 2024

2023

De Rham compatible Deep Neural Network FEM.

Marcello Longo, Joost A. A. Opschoor, Nico Disch, Christoph Schwab, Jakob Zech

Neural Networks, August, 2023

Exponential ReLU Neural Network Approximation Rates for Point and Edge Singularities.

Carlo Marcati, Joost A. A. Opschoor, Philipp Christian Petersen, Christoph Schwab

Found. Comput. Math., June, 2023

Deep ReLU networks and high-order finite element methods II: Chebyshev emulation.

Joost A. A. Opschoor, Christoph Schwab

CoRR, 2023

2022

Constructive Deep ReLU Neural Network Approximation.

Lukas Herrmann, Joost A. A. Opschoor, Christoph Schwab

J. Sci. Comput., 2022

De Rham compatible Deep Neural Networks.

Marcello Longo, Joost A. A. Opschoor, Nico Disch, Christoph Schwab, Jakob Zech

CoRR, 2022