Alexander Bihlo

According to our database, Alexander Bihlo authored at least 25 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Exactly conservative physics-informed neural networks and deep operator networks for dynamical systems.

Elsa Dos Cardoso-Bihlo, Alex Bihlo

Neural Networks, 2025

2024

Improving physics-informed neural networks with meta-learned optimization.

Alex Bihlo

J. Mach. Learn. Res., 2024

Invariant Physics-Informed Neural Networks for Ordinary Differential Equations.

Shivam Arora, Alex Bihlo, Francis Valiquette

J. Mach. Learn. Res., 2024

PinnDE: Physics-Informed Neural Networks for Solving Differential Equations.

Jason Matthews, Alex Bihlo

CoRR, 2024

2023

Improving physics-informed DeepONets with hard constraints.

Rüdiger Brecht, Dmytro R. Popovych, Alex Bihlo, Roman O. Popovych

CoRR, 2023

Towards replacing precipitation ensemble predictions systems using machine learning.

Rüdiger Brecht, Alex Bihlo

CoRR, 2023

M-ENIAC: A machine learning recreation of the first successful numerical weather forecasts.

Rüdiger Brecht, Alex Bihlo

CoRR, 2023

Model-agnostic machine learning of conservation laws from data.

Shivam Arora, Alex Bihlo, Rüdiger Brecht, Pavel Holba

CoRR, 2023

2022

Conservative integrators for many-body problems.

Andy T. S. Wan, Alexander Bihlo, Jean-Christophe Nave

J. Comput. Phys., 2022

Physics-informed neural networks for the shallow-water equations on the sphere.

Alex Bihlo, Roman O. Popovych

J. Comput. Phys., 2022

Improving trajectory calculations using deep learning inspired single image superresolution.

Rüdiger Brecht, Lucie Bakels, Alex Bihlo, Andreas Stohl

CoRR, 2022

Computing the ensemble spread from deterministic weather predictions using conditional generative adversarial networks.

Rüdiger Brecht, Alex Bihlo

CoRR, 2022

2021

A generative adversarial network approach to (ensemble) weather prediction.

Alex Bihlo

Neural Networks, 2021

Invariant Variational Schemes for Ordinary Differential Equations.

Alex Bihlo, James Jackaman, Francis Valiquette

CoRR, 2021

Selective decay for the rotating shallow-water equations with a structure-preserving discretization.

Rüdiger Brecht, Werner Bauer, Alexander Bihlo, François Gay-Balmaz, Scott P. MacLachlan

CoRR, 2021

2020

Generalization of the algebraic method of group classification with application to nonlinear wave and elliptic equations.

Olena O. Vaneeva, Alexander Bihlo, Roman O. Popovych

Commun. Nonlinear Sci. Numer. Simul., 2020

2019

Symmetry-Preserving Finite Element Schemes: An Introductory Investigation.

Alexander Bihlo, Francis Valiquette

SIAM J. Sci. Comput., 2019

On the development of symmetry-preserving finite element schemes for ordinary differential equations.

Alex Bihlo, James Jackaman, Francis Valiquette

CoRR, 2019

Precipitation nowcasting using a stochastic variational frame predictor with learned prior distribution.

Alexander Bihlo

CoRR, 2019

2017

Conservative Methods for Dynamical Systems.

Andy T. S. Wan, Alexander Bihlo, Jean-Christophe Nave

SIAM J. Numer. Anal., 2017

2016

The Multiplier Method to Construct Conservative Finite Difference Schemes for Ordinary and Partial Differential Equations.

Andy T. S. Wan, Alexander Bihlo, Jean-Christophe Nave

SIAM J. Numer. Anal., 2016

2014

Convecting reference frames and invariant numerical models.

Alexander Bihlo, Jean-Christophe Nave

J. Comput. Phys., 2014

Symmetry analysis of a system of modified shallow-water equations.

Simon Szatmari, Alexander Bihlo

Commun. Nonlinear Sci. Numer. Simul., 2014

Parallel stochastic methods for PDE based grid generation.

Alexander Bihlo, Ronald D. Haynes

Comput. Math. Appl., 2014

2012

Invariant Discretization Schemes for the Shallow-Water Equations.

Alexander Bihlo, Roman O. Popovych

SIAM J. Sci. Comput., 2012