De Rham compatible Deep Neural Networks. - Marcello Longo; Joost A. A. Opschoor; Nico Disch; Christoph Schwab; Jakob Zech (CoRR, 2022)

Constructive Deep ReLU Neural Network Approximation. - Lukas Herrmann; Joost A. A. Opschoor; Christoph Schwab (J. Sci. Comput., 2022)

Deep ReLU networks and high-order finite element methods II: Chebyshev emulation. - Joost A. A. Opschoor; Christoph Schwab (CoRR, 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., 2023)

De Rham compatible Deep Neural Network FEM. - Marcello Longo; Joost A. A. Opschoor; Nico Disch; Christoph Schwab; Jakob Zech (Neural Networks, 2023)

Deep ReLU networks and high-order finite element methods II: Chebyšev emulation. - Joost A. A. Opschoor; Christoph Schwab (Comput. Math. Appl., 2024)

Neural Networks for Singular Perturbations. - Joost A. A. Opschoor; Christoph Schwab; Christos Xenophontos (CoRR, 2024)

Exponential Expressivity of ReLUk Neural Networks on Gevrey Classes with Point Singularities. - Joost A. A. Opschoor; Christoph Schwab (CoRR, 2024)

First Order System Least Squares Neural Networks. - Joost A. A. Opschoor; Philipp Christian Petersen; Christoph Schwab (CoRR, 2024)