| Error estimates for the deep Ritz method with boundary penalty J Müller, M Zeinhofer Mathematical and Scientific Machine Learning, 215-230, 2022 | 44* | 2022 |
| Achieving High Accuracy with PINNs via Energy Natural Gradients J Müller, M Zeinhofer International Conference on Machine Learning, 25471-25485, 2023 | 39 | 2023 |
| Deep Ritz revisited J Müller, M Zeinhofer DeepDiffEq workshop at ICLR 2020, 2020 | 34 | 2020 |
| Uniform Convergence Guarantees for the Deep Ritz Method for Nonlinear Problems P Dondl, J Müller, M Zeinhofer Advances in Continuous and Discrete Models, 2022 | 20 | 2022 |
| Notes on Exact Boundary Values in Residual Minimisation J Müller, M Zeinhofer Mathematical and Scientific Machine Learning, 231-240, 2022 | 16 | 2022 |
| Invariance properties of the natural gradient in overparametrised systems J van Oostrum, J Müller, N Ay Information geometry 6 (1), 51-67, 2023 | 11 | 2023 |
| The Geometry of Memoryless Stochastic Policy Optimization in Infinite-Horizon POMDPs G Montúfar, J Müller International Conference of Learning Representations, 2022 | 11* | 2022 |
| Dynamical measure transport and neural pde solvers for sampling J Sun, J Berner, L Richter, M Zeinhofer, J Müller, K Azizzadenesheli, ... arXiv preprint arXiv:2407.07873, 2024 | 10 | 2024 |
| Geometry and convergence of natural policy gradient methods J Müller, G Montúfar Information Geometry 7 (Suppl 1), 485-523, 2024 | 8 | 2024 |
| On the space-time expressivity of ResNets J Müller DeepDiffEq workshop at ICLR 2020, 2020 | 7* | 2020 |
| Position: Optimization in SciML Should Employ the Function Space Geometry J Müller, M Zeinhofer Forty-first International Conference on Machine Learning, 2024 | 6* | 2024 |
| Solving infinite-horizon POMDPs with memoryless stochastic policies in state-action space J Müller, G Montúfar 5th Multi-disciplinary Conference on Reinforcement Learning and Decision …, 2022 | 5 | 2022 |
| Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks F Dangel, J Müller, M Zeinhofer arXiv preprint arXiv:2405.15603, 2024 | 3 | 2024 |
| Universal flow approximation with deep residual networks J Müller University of Freiburg, 2019 | 3 | 2019 |
| Fisher-Rao Gradient Flows of Linear Programs and State-Action Natural Policy Gradients J Müller, S Çaycı, G Montúfar arXiv preprint arXiv:2403.19448, 2024 | 2 | 2024 |
| Geometry of Optimization in Markov Decision Processes and Neural Network-Based PDE Solvers J Müller Dissertation, 2024 | 2 | 2024 |
| Algebraic Optimization of Sequential Decision Problems M Dressler, M Garrote-López, G Montúfar, J Müller, K Rose Journal of Symbolic Computation 121, 2022 | 1 | 2022 |
| Embedding Safety into RL: A New Take on Trust Region Methods N Milosevic, J Müller, N Scherf arXiv preprint arXiv:2411.02957, 2024 | | 2024 |
| Essentially Sharp Estimates on the Entropy Regularization Error in Discrete Discounted Markov Decision Processes J Müller, S Cayci arXiv preprint arXiv:2406.04163, 2024 | | 2024 |
| Parameter estimation and consistency for discrete determinantal point processes J Müller University of Warwick, 2018 | | 2018 |
Marius ZeinhoferETH Postdoctoral FellowVerified email at sam.math.ethz.ch
