Franz M. Rohrhofer

12 papers B 1Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Approximating families of sharp solutions to Fisher's equation with physics-informed neural networks.
Comput. Phys. Commun.
Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, Bernhard C. Geiger
2025 B conf
B-PL-PINN: Stabilizing PINN Training with Bayesian Pseudo Labeling.
IJCNN
Kevin Innerebner, Franz M. Rohrhofer, Bernhard C. Geiger
2025 J jnl
B-PL-PINN: Stabilizing PINN Training with Bayesian Pseudo Labeling.
CoRR
Kevin Innerebner, Franz M. Rohrhofer, Bernhard C. Geiger
2025 J jnl
Stabilizing PINNs: A regularization scheme for PINN training to avoid unstable fixed points of dynamical systems.
CoRR
Milos Babic, Franz M. Rohrhofer, Bernhard C. Geiger
2024 J jnl
Approximating Families of Sharp Solutions to Fisher's Equation with Physics-Informed Neural Networks.
CoRR
Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, Bernhard C. Geiger
2023 J jnl
Bringing Chemistry to Scale: Loss Weight Adjustment for Multivariate Regression in Deep Learning of Thermochemical Processes.
CoRR
Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, José M. García-Oliver, Bernhard C. Geiger
2023 J jnl
Data vs. Physics: The Apparent Pareto Front of Physics-Informed Neural Networks.
IEEE Access
Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, Bernhard C. Geiger
2023 J jnl
Finding the Optimum Design of Large Gas Engines Prechambers Using CFD and Bayesian Optimization.
CoRR
Stefan Posch, Clemens Gößnitzer, Franz M. Rohrhofer, Bernhard C. Geiger, Andreas Wimmer
2023 J jnl
On the Role of Fixed Points of Dynamical Systems in Training Physics-Informed Neural Networks.
Trans. Mach. Learn. Res.
Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, Bernhard C. Geiger
2022 J jnl
Understanding the Difficulty of Training Physics-Informed Neural Networks on Dynamical Systems.
CoRR
Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, Bernhard C. Geiger
2021 J jnl
Importance of feature engineering and database selection in a machine learning model: A case study on carbon crystal structures.
CoRR
Franz M. Rohrhofer, Santanu Saha, Simone Di Cataldo, Bernhard C. Geiger, Wolfgang von der Linden, Lilia Boeri
2021 J jnl
On the Pareto Front of Physics-Informed Neural Networks.
CoRR
Franz M. Rohrhofer, Stefan Posch, Bernhard C. Geiger