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Author

Marius Zeinhofer

Observed name: Zeinhofer, Marius
ORCID: 0000-0002-5594-7766
Observed ORCID: 0000-0002-5594-7766
OpenAlex ID: A5055233009
A unified framework for the error analysis of physics-informed neural networks
2024 · Marius Zeinhofer, Rami Masri, et al. · IMA Journal of Numerical Analysis · 39
Deep Ritz revisited
2019 · Müller, Johannes, Zeinhofer, Marius · arXiv (Cornell University) · 27
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Dynamical Measure Transport and Neural PDE Solvers for Sampling
2024 · Sun, Jingtong, Berner, Julius, et al. · arXiv (Cornell University) · 24
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Gauss-Newton Natural Gradient Descent for Physics-Informed Computational Fluid Dynamics
2024 · Jnini, Anas, Vella, Flavio, et al. · arXiv (Cornell University) · 21
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Error Estimates for the Deep Ritz Method with Boundary Penalty
2021 · Müller, Johannes, Zeinhofer, Marius · arXiv (Cornell University) · 21
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Curvature-aware optimization for high-accuracy physics-informed neural networks
2026 · Anas Jnini, Elham Kiyani, et al. · Computer Methods in Applied Mechanics and Engineering · 17
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Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks
2024 · Felix Dangel, Johannes Müller, et al. · neural information processing systems · 17
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Uniform convergence guarantees for the deep Ritz method for nonlinear problems
2022 · Patrick Dondl, Johannes Müller, et al. · Advances in Continuous and Discrete Models · 17
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Error Estimates for the Variational Training of Neural Networks with Boundary Penalty.
2021 · Johannes Müller, Marius Zeinhofer · arXiv (Cornell University) · 13
Improving Energy Natural Gradient Descent through Woodbury, Momentum, and Randomization
2025 · Andrés Guzmán-Cordero, Felix Dangel, et al. · neural information processing systems · 11
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Notes on Exact Boundary Values in Residual Minimisation
2021 · Müller, Johannes, Zeinhofer, Marius · arXiv (Cornell University) · 10
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A priori error analysis of the proximal Galerkin method
2025 · Keith, Brendan, Masri, Rami, et al. · arXiv (Cornell University) · 9
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Learning mesh motion techniques with application to fluid–structure interaction
2024 · Johannes Haubner, Ottar Hellan, et al. · Computer Methods in Applied Mechanics and Engineering · 8
Functional Neural Wavefunction Optimization
2025 · Armegioiu, Victor, Carrasquilla, Juan, et al. · arXiv (Cornell University) · 7
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Position: Optimization in SciML Should Employ the Function Space Geometry
2024 · Müller, Johannes, Zeinhofer, Marius · arXiv (Cornell University) · 7
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Achieving High Accuracy with PINNs via Energy Natural Gradients
2023 · Müller, Johannes, Zeinhofer, Marius · arXiv (Cornell University) · 7
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Three-dimensional optimization of scaffold porosities for bone tissue engineering
2026 · Patrick Dondl, Marius Zeinhofer · European Journal of Applied Mathematics · 6
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Gauss-Newton Natural Gradient Descent for Physics-informed Computational Fluid Dynamics
2025 · Anas Jnini, Flavio Vella, et al. · Computers & Fluids · 6
Gauss-Newton Natural Gradient Descent for Physics-Informed Computational Fluid Dynamics
2025 · Anas Jnini, Flavio Vella, et al. · SSRN Electronic Journal · 6
The Deep Ritz Method for parametric p-Dirichlet problems
2025 · Alex Kaltenbach, Marius Zeinhofer · Advances in Continuous and Discrete Models · 5
The modelling error in multi-dimensional time-dependent solute transport models
2024 · Rami Masri, Marius Zeinhofer, et al. · ESAIM Mathematical Modelling and Numerical Analysis · 5
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An Efficient Model For Scaffold Mediated Bone Regeneration
2022 · Patrick Dondl, Patrina S. P. Poh, et al. · SIAM Journal on Applied Mathematics · 5
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Robin Pre-Training for the Deep Ritz Method
2023 · Luca Courte, Marius Zeinhofer · Proceedings of the Northern Lights Deep Learning Workshop · 4
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Projected Inverse Iteration: An Eigenvalue Approach to Ground-State Computation with Neural Quantum States
2026 · Zhang, Hang, Armegioiu, Victor, et al. · arXiv (Cornell University) · 3
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A parameter study on optimal scaffolds in a simple model for bone regeneration
2021 · Dondl, Patrick, Zeinhofer, Marius · arXiv (Cornell University) · 3
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Works count: 34
Citation count: 303
H-index: 10
I10-index: 11
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