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Johannes Müller
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Deep Ritz revisited
J Müller, M Zeinhofer
DeepDiffEq workshop at ICLR 2020, 2020
172020
Error estimates for the deep Ritz method with boundary penalty
J Müller, M Zeinhofer
Mathematical and Scientific Machine Learning, 215-230, 2022
12*2022
On the space-time expressivity of ResNets
J Müller
DeepDiffEq workshop at ICLR 2020, 2020
6*2020
Notes on Exact Boundary Values in Residual Minimisation
M Zeinhofer
Proceedings of Machine Learning Research vol 145, 1-13, 2022
5*2022
Uniform Convergence Guarantees for the Deep Ritz Method for Nonlinear Problems
P Dondl, J Müller, M Zeinhofer
Advances in Continuous and Discrete Models, 2022
32022
Universal flow approximation with deep residual networks
J Müller
University of Freiburg, 2019
32019
The Geometry of Memoryless Stochastic Policy Optimization in Infinite-Horizon POMDPs
G Montúfar, J Müller
10th International Conference of Learning Representations (ICLR 2022), 2022
2*2022
Invariance properties of the natural gradient in overparametrised systems
J van Oostrum, J Müller, N Ay
Information Geometry, 1-17, 2022
2022
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
2022
Parameter estimation and consistency for discrete determinantal point processes
J Müller
University of Warwick, 2018
2018
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