Marius Zeinhofer

24 papers A* 3Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Gauss-Newton Natural Gradient Descent for Shape Learning. CoRR James King, Arturs Berzins, Siddhartha Mishra, Marius Zeinhofer
2025	J	`jnl`	A priori error analysis of the proximal Galerkin method. CoRR Brendan Keith, Rami Masri, Marius Zeinhofer
2025	J	`jnl`	Collapsing Taylor Mode Automatic Differentiation. CoRR Felix Dangel, Tim Siebert, Marius Zeinhofer, Andrea Walther
2025	J	`jnl`	Functional Neural Wavefunction Optimization. CoRR Victor Armegioiu, Juan Carrasquilla, Siddhartha Mishra, Johannes Müller, Jannes Nys, Marius Zeinhofer, Hang Zhang
2025	J	`jnl`	Improving Energy Natural Gradient Descent through Woodbury, Momentum, and Randomization. CoRR Andrés Guzmán-Cordero, Felix Dangel, Gil Goldshlager, Marius Zeinhofer
2024	J	`jnl`	Dynamical Measure Transport and Neural PDE Solvers for Sampling. CoRR Jingtong Sun, Julius Berner, Lorenz Richter, Marius Zeinhofer, Johannes Müller, Kamyar Azizzadenesheli, Anima Anandkumar
2024	A*	`conf`	Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks. NeurIPS Felix Dangel, Johannes Müller, Marius Zeinhofer
2024	J	`jnl`	Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks. CoRR Felix Dangel, Johannes Müller, Marius Zeinhofer
2024	A*	`conf`	Position: Optimization in SciML Should Employ the Function Space Geometry. ICML Johannes Müller, Marius Zeinhofer
2023	J	`jnl`	A Unified Framework for the Error Analysis of Physics-Informed Neural Networks. CoRR Marius Zeinhofer, Rami Masri, Kent-André Mardal
2023	A*	`conf`	Achieving High Accuracy with PINNs via Energy Natural Gradient Descent. ICML Johannes Müller, Marius Zeinhofer
2023	J	`jnl`	Achieving High Accuracy with PINNs via Energy Natural Gradients. CoRR Johannes Müller, Marius Zeinhofer
2023	—	`conf`	Robin Pre-Training for the Deep Ritz Method. NLDL Luca Courte, Marius Zeinhofer
2023	J	`jnl`	The modelling error in multi-dimensional time-dependent solute transport models. CoRR Rami Masri, Marius Zeinhofer, Miroslav Kuchta, Marie E. Rognes
2023	J	`jnl`	Variational Formulations of the Strong Formulation - Forward and Inverse Modeling using Isogeometric Analysis and Physics-Informed Networks. CoRR Kent-André Mardal, Jarle Sogn, Marius Zeinhofer
2022	J	`jnl`	An Efficient Model For Scaffold Mediated Bone Regeneration. SIAM J. Appl. Math. Patrick W. Dondl, Patrina S. P. Poh, Marius Zeinhofer
2022	—	`conf`	Error Estimates for the Deep Ritz Method with Boundary Penalty. MSML Johannes Müller, Marius Zeinhofer
2022	—	`conf`	Notes on Exact Boundary Values in Residual Minimisation. MSML Johannes Müller, Marius Zeinhofer
2022	J	`jnl`	The Deep Ritz Method for Parametric p-Dirichlet Problems. CoRR Alex Kaltenbach, Marius Zeinhofer
2021	J	`jnl`	Error Estimates for the Variational Training of Neural Networks with Boundary Penalty. CoRR Johannes Müller, Marius Zeinhofer
2021	J	`jnl`	Notes on Exact Boundary Values in Residual Minimisation. CoRR Johannes Müller, Marius Zeinhofer
2021	J	`jnl`	Robin Pre-Training for the Deep Ritz Method. CoRR Luca Courte, Marius Zeinhofer
2021	J	`jnl`	Uniform Convergence Guarantees for the Deep Ritz Method for Nonlinear Problems. CoRR Patrick W. Dondl, Johannes Müller, Marius Zeinhofer
2019	J	`jnl`	Deep Ritz revisited. CoRR Johannes Müller, Marius Zeinhofer