Alex Bihlo
Memorial University of Newfoundland
H-index: 21
North America-Canada
Top articles of Alex Bihlo
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Improving physics-informed neural networks with meta-learned optimization | Journal of Machine Learning Research | Alex Bihlo | 2024 |
M-ENIAC: A machine learning recreation of the first successful numerical weather forecasts | arXiv preprint arXiv:2304.09070 | Rüdiger Brecht Alex Bihlo | 2023/4/18 |
Towards replacing precipitation ensemble predictions systems using machine learning | arXiv preprint arXiv:2304.10251 | Rüdiger Brecht Alex Bihlo | 2023/4/20 |
Invariant Physics-Informed Neural Networks for Ordinary Differential Equations | arXiv preprint arXiv:2310.17053 | Shivam Arora Alex Bihlo Francis Valiquette | 2023/10/25 |
Computing the ensemble spread from deterministic weather predictions using conditional generative adversarial networks | Geophysical Research Letters | Rüdiger Brecht Alex Bihlo | 2023/1/28 |
Extended symmetry analysis of remarkable (1+ 2)-dimensional Fokker–Planck equation | European Journal of Applied Mathematics | Serhii D Koval Alexander Bihlo Roman O Popovych | 2023/10 |
Model-agnostic machine learning of conservation laws from data | arXiv preprint arXiv:2301.07503 | Shivam Arora Alex Bihlo Rüdiger Brecht Pavel Holba | 2023/1/12 |
Improving physics-informed DeepONets with hard constraints | arXiv preprint arXiv:2309.07899 | Rüdiger Brecht Dmytro R Popovych Alex Bihlo Roman O Popovych | 2023/9/14 |
Improving trajectory calculations by FLEXPART 10.4+ using single-image super-resolution | Geoscientific Model Development | Rüdiger Brecht Lucie Bakels Alex Bihlo Andreas Stohl | 2023/4/21 |
Exactly conservative physics-informed neural networks and deep operator networks for dynamical systems | arXiv preprint arXiv:2311.14131 | Elsa Cardoso-Bihlo Alex Bihlo | 2023/11/23 |
Deep learning for ensemble forecasting | EGU General Assembly Conference Abstracts | Rüdiger Brecht Alexander Bihlo | 2022/5 |
Physics-informed neural networks for the shallow-water equations on the sphere | Journal of Computational Physics | Alex Bihlo Roman O Popovych | 2022/5/1 |
Invariant variational schemes for ordinary differential equations | Studies in Applied Mathematics | Alex Bihlo James Jackaman Francis Valiquette | 2022/4 |
Conservative integrators for many–body problems | Journal of Computational Physics | Andy TS Wan Alexander Bihlo Jean-Christophe Nave | 2022/10/1 |
Improving trajectory calculations using deep learning inspired single image superresolution | arXiv preprint arXiv:2206.04015 | Rüdiger Brecht Lucie Bakels Alex Bihlo Andreas Stohl | 2022/6/7 |
Forward modelling of gravity data on unstructured grids using an adaptive mimetic finite-difference method | Journal of Applied Geophysics | Hormoz Jahandari Alex Bihlo Fabrizio Donzelli | 2021/7/1 |
A generative adversarial network approach to (ensemble) weather prediction | Neural Networks | Alex Bihlo | 2021/7/1 |
Forward modelling of geophysical electromagnetic data on unstructured grids using an adaptive mimetic finite-difference method | Computational Geosciences | Hormoz Jahandari Alex Bihlo | 2021/6 |
Forecasting Fog with a deterministic-stochastic model | AGU Fall Meeting Abstracts | Elsa Cardoso-Bihlo Boualem Khouider Alexander Bihlo | 2021/12 |
Selective decay for the rotating shallow-water equations with a structure-preserving discretization | arXiv preprint arXiv:2107.02072 | Rüdiger Brecht Werner Bauer Alexander Bihlo François Gay-Balmaz Scott MacLachlan | 2021/7/5 |
Co-Authors
