Joost A. A. Opschoor

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Neural networks for singular perturbations.
Numerische Mathematik
Joost A. A. Opschoor, Christoph Schwab, Christos Xenophontos
2024 J jnl
Deep ReLU networks and high-order finite element methods II: Chebyšev emulation.
Comput. Math. Appl.
Joost A. A. Opschoor, Christoph Schwab
2024 J jnl
Exponential Expressivity of ReLU
CoRR
Joost A. A. Opschoor, Christoph Schwab
2024 J jnl
First Order System Least Squares Neural Networks.
CoRR
Joost A. A. Opschoor, Philipp Christian Petersen, Christoph Schwab
2024 J jnl
Neural Networks for Singular Perturbations.
CoRR
Joost A. A. Opschoor, Christoph Schwab, Christos Xenophontos
2023 J jnl
De Rham compatible Deep Neural Network FEM.
Neural Networks
Marcello Longo, Joost A. A. Opschoor, Nico Disch, Christoph Schwab, Jakob Zech
2023 J jnl
Deep ReLU networks and high-order finite element methods II: Chebyshev emulation.
CoRR
Joost A. A. Opschoor, Christoph Schwab
2023 J jnl
Exponential ReLU Neural Network Approximation Rates for Point and Edge Singularities.
Found. Comput. Math.
Carlo Marcati, Joost A. A. Opschoor, Philipp Christian Petersen, Christoph Schwab
2022 J jnl
Constructive Deep ReLU Neural Network Approximation.
J. Sci. Comput.
Lukas Herrmann, Joost A. A. Opschoor, Christoph Schwab
2022 J jnl
De Rham compatible Deep Neural Networks.
CoRR
Marcello Longo, Joost A. A. Opschoor, Nico Disch, Christoph Schwab, Jakob Zech
2020 J jnl
Exponential ReLU Neural Network Approximation Rates for Point and Edge Singularities.
CoRR
Carlo Marcati, Joost A. A. Opschoor, Philipp Christian Petersen, Christoph Schwab