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ORCIDAlexander Bihlo
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2020 – today
- 2024
[j13]Alex Bihlo:
Improving physics-informed neural networks with meta-learned optimization. J. Mach. Learn. Res. 25: 14:1-14:26 (2024)- [j12]Shivam Arora, Alex Bihlo, Francis Valiquette:
Invariant Physics-Informed Neural Networks for Ordinary Differential Equations. J. Mach. Learn. Res. 25: 233:1-233:24 (2024) - [i16]Jason Matthews, Alex Bihlo:
PinnDE: Physics-Informed Neural Networks for Solving Differential Equations. CoRR abs/2408.10011 (2024) - 2023
- [i15]Shivam Arora, Alex Bihlo, Rüdiger Brecht, Pavel Holba:
Model-agnostic machine learning of conservation laws from data. CoRR abs/2301.07503 (2023) - [i14]Alex Bihlo:
Improving physics-informed neural networks with meta-learned optimization. CoRR abs/2303.07127 (2023) - [i13]Rüdiger Brecht, Alex Bihlo:
M-ENIAC: A machine learning recreation of the first successful numerical weather forecasts. CoRR abs/2304.09070 (2023) - [i12]Rüdiger Brecht, Alex Bihlo:
Towards replacing precipitation ensemble predictions systems using machine learning. CoRR abs/2304.10251 (2023) - [i11]Rüdiger Brecht, Dmytro R. Popovych, Alex Bihlo, Roman O. Popovych:
Improving physics-informed DeepONets with hard constraints. CoRR abs/2309.07899 (2023) - [i10]Elsa Dos Cardoso-Bihlo, Alex Bihlo:
Exactly conservative physics-informed neural networks and deep operator networks for dynamical systems. CoRR abs/2311.14131 (2023) - 2022
- [j11]Alex Bihlo
, Roman O. Popovych:
Physics-informed neural networks for the shallow-water equations on the sphere. J. Comput. Phys. 456: 111024 (2022) - [j10]Andy T. S. Wan, Alexander Bihlo, Jean-Christophe Nave:
Conservative integrators for many-body problems. J. Comput. Phys. 466: 111417 (2022) - [i9]Rüdiger Brecht, Alex Bihlo:
Computing the ensemble spread from deterministic weather predictions using conditional generative adversarial networks. CoRR abs/2205.09182 (2022) - [i8]Rüdiger Brecht, Lucie Bakels, Alex Bihlo, Andreas Stohl:
Improving trajectory calculations using deep learning inspired single image superresolution. CoRR abs/2206.04015 (2022) - 2021
- [j9]Alex Bihlo:
A generative adversarial network approach to (ensemble) weather prediction. Neural Networks 139: 1-16 (2021) - [i7]Alex Bihlo, Roman O. Popovych:
Physics-informed neural networks for the shallow-water equations on the sphere. CoRR abs/2104.00615 (2021) - [i6]Andy T. S. Wan, Alexander Bihlo, Jean-Christophe Nave:
Conservative Integrators for Many-body Problems. CoRR abs/2106.06641 (2021) - [i5]Rüdiger Brecht, Werner Bauer, Alexander Bihlo, François Gay-Balmaz, Scott P. MacLachlan:
Selective decay for the rotating shallow-water equations with a structure-preserving discretization. CoRR abs/2107.02072 (2021) - [i4]Alex Bihlo, James Jackaman, Francis Valiquette:
Invariant Variational Schemes for Ordinary Differential Equations. CoRR abs/2107.02741 (2021) - 2020
- [j8]Olena O. Vaneeva, Alexander Bihlo, Roman O. Popovych:
Generalization of the algebraic method of group classification with application to nonlinear wave and elliptic equations. Commun. Nonlinear Sci. Numer. Simul. 91: 105419 (2020) - [i3]Alexander Bihlo:
A generative adversarial network approach to (ensemble) weather prediction. CoRR abs/2006.07718 (2020)
2010 – 2019
- 2019
- [j7]Alexander Bihlo, Francis Valiquette:
Symmetry-Preserving Finite Element Schemes: An Introductory Investigation. SIAM J. Sci. Comput. 41(5): A3300-A3325 (2019) - [i2]Alexander Bihlo:
Precipitation nowcasting using a stochastic variational frame predictor with learned prior distribution. CoRR abs/1905.05037 (2019) - [i1]Alex Bihlo, James Jackaman, Francis Valiquette:
On the development of symmetry-preserving finite element schemes for ordinary differential equations. CoRR abs/1907.00961 (2019) - 2017
- [j6]Andy T. S. Wan, Alexander Bihlo, Jean-Christophe Nave:
Conservative Methods for Dynamical Systems. SIAM J. Numer. Anal. 55(5): 2255-2285 (2017) - 2016
- [j5]Andy T. S. Wan, Alexander Bihlo, Jean-Christophe Nave:
The Multiplier Method to Construct Conservative Finite Difference Schemes for Ordinary and Partial Differential Equations. SIAM J. Numer. Anal. 54(1): 86-119 (2016) - 2014
- [j4]Alexander Bihlo, Ronald D. Haynes:
Parallel stochastic methods for PDE based grid generation. Comput. Math. Appl. 68(8): 804-820 (2014) - [j3]Simon Szatmari, Alexander Bihlo:
Symmetry analysis of a system of modified shallow-water equations. Commun. Nonlinear Sci. Numer. Simul. 19(3): 530-537 (2014) - [j2]Alexander Bihlo, Jean-Christophe Nave:
Convecting reference frames and invariant numerical models. J. Comput. Phys. 272: 656-663 (2014) - 2012
- [j1]Alexander Bihlo, Roman O. Popovych:
Invariant Discretization Schemes for the Shallow-Water Equations. SIAM J. Sci. Comput. 34(6) (2012)
Coauthor Index
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