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Marius Zeinhofer
Marius Zeinhofer
Postdoctoral Fellow, Simula Research Laboratory
Verified email at simula.no
Title
Cited by
Cited by
Year
Error estimates for the deep Ritz method with boundary penalty
J Müller, M Zeinhofer
Mathematical and Scientific Machine Learning, 215-230, 2022
29*2022
Deep ritz revisited
J Müller, M Zeinhofer
DeepDiffEq workshop at ICLR 2020, 2020
252020
Achieving High Accuracy with PINNs via Energy Natural Gradients
J Müller, M Zeinhofer
ICML 2023, 2023
11*2023
Uniform convergence guarantees for the deep Ritz method for nonlinear problems
P Dondl, J Müller, M Zeinhofer
Advances in Continuous and Discrete Models 2022 (1), 49, 2022
102022
Notes on exact boundary values in residual minimisation
J Müller, M Zeinhofer
Mathematical and Scientific Machine Learning, 231-240, 2022
92022
Robin Pre-Training for the Deep Ritz Method
L Courte, M Zeinhofer
Northern Lights Deep Learning Conference 2023, 2023
72023
A unified framework for the error analysis of physics-informed neural networks
M Zeinhofer, R Masri, KA Mardal
arXiv preprint arXiv:2311.00529, 2023
32023
An Efficient Model For Scaffold Mediated Bone Regeneration
P Dondl, PSP Poh, M Zeinhofer
SIAM Journal on Applied Mathematics 82 (3), 924-949, 2022
32022
The modelling error in multi-dimensional time-dependent solute transport models
R Masri, M Zeinhofer, M Kuchta, ME Rognes
arXiv preprint arXiv:2303.17999, 2023
22023
A parameter study on optimal scaffolds in a simple model for bone regeneration
P Dondl, M Zeinhofer
IX International Conference on Computational Bioengineering, 2022
22022
Gauss-Newton Natural Gradient Descent for Physics-Informed Computational Fluid Dynamics
A Jnini, F Vella, M Zeinhofer
arXiv preprint arXiv:2402.10680, 2024
12024
The Deep Ritz Method for Parametric -Dirichlet Problems
A Kaltenbach, M Zeinhofer
arXiv preprint arXiv:2207.01894, 2022
12022
Learning mesh motion techniques with application to fluid–structure interaction
J Haubner, O Hellan, M Zeinhofer, M Kuchta
Computer Methods in Applied Mechanics and Engineering 424, 116890, 2024
2024
Optimization in SciML--A Function Space Perspective
J Müller, M Zeinhofer
arXiv preprint arXiv:2402.07318, 2024
2024
Variational Formulations of the Strong Formulation--Forward and Inverse Modeling using Isogeometric Analysis and Physics-Informed Networks
KA Mardal, J Sogn, M Zeinhofer
arXiv preprint arXiv:2312.03496, 2023
2023
Learning a Mesh Motion Technique with Application to Fluid-Structure Interaction and Shape Optimization
J Haubner, O Hellan, M Zeinhofer, M Kuchta
arXiv preprint arXiv:2206.02217, 2023
2023
Regularity for Diffusion Equations with Non-smooth Data
P Dondl, M Zeinhofer
Results in Mathematics 78 (4), 142, 2023
2023
Analyzing and optimizing bone scaffolds
M Zeinhofer
Dissertation, Universität Freiburg, 2022, 2022
2022
Three Dimensional Optimization of Scaffold Porosities for Bone Tissue Engineering
P Dondl, M Zeinhofer
arXiv preprint arXiv:2112.11530, 2021
2021
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Articles 1–19