Alex Bihlo

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 13

Top Topics

Machine Learning

Weather Forecast

Differential Equations

Top Venues

J. Comput. Phys.

Neural Networks

Publications

Rüdiger Brecht, Alex Bihlo
M-ENIAC: A machine learning recreation of the first successful numerical weather forecasts. CoRR (2023)
Shivam Arora, Alex Bihlo, Rüdiger Brecht, Pavel Holba
Model-free machine learning of conservation laws from data. CoRR (2023)
Rüdiger Brecht, Alex Bihlo
Towards replacing precipitation ensemble predictions systems using machine learning. CoRR (2023)
Elsa Dos Cardoso-Bihlo, Alex Bihlo
Exactly conservative physics-informed neural networks and deep operator networks for dynamical systems. CoRR (2023)
Alex Bihlo
Improving physics-informed neural networks with meta-learned optimization. CoRR (2023)
Rüdiger Brecht, Dmytro R. Popovych, Alex Bihlo, Roman O. Popovych
Improving physics-informed DeepONets with hard constraints. CoRR (2023)
Rüdiger Brecht, Lucie Bakels, Alex Bihlo, Andreas Stohl
Improving trajectory calculations using deep learning inspired single image superresolution. CoRR (2022)
Alex Bihlo, Roman O. Popovych
Physics-informed neural networks for the shallow-water equations on the sphere. J. Comput. Phys. 456 (2022)
Rüdiger Brecht, Alex Bihlo
Computing the ensemble spread from deterministic weather predictions using conditional generative adversarial networks. CoRR (2022)
Alex Bihlo, Roman O. Popovych
Physics-informed neural networks for the shallow-water equations on the sphere. CoRR (2021)
Alex Bihlo
A generative adversarial network approach to (ensemble) weather prediction. Neural Networks 139 (2021)
Alex Bihlo, James Jackaman, Francis Valiquette
Invariant Variational Schemes for Ordinary Differential Equations. CoRR (2021)
Alex Bihlo, James Jackaman, Francis Valiquette
On the development of symmetry-preserving finite element schemes for ordinary differential equations. CoRR (2019)