Franz M. Rohrhofer

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

Top Topics

Reinforced Concrete

Multivariate Regression

Top Venues

Trans. Mach. Learn. Res.

Publications

Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, Bernhard C. Geiger
Approximating Families of Sharp Solutions to Fisher's Equation with Physics-Informed Neural Networks. CoRR (2024)
Stefan Posch, Clemens Gößnitzer, Franz M. Rohrhofer, Bernhard C. Geiger, Andreas Wimmer
Finding the Optimum Design of Large Gas Engines Prechambers Using CFD and Bayesian Optimization. CoRR (2023)
Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, José M. García-Oliver, Bernhard C. Geiger
Bringing Chemistry to Scale: Loss Weight Adjustment for Multivariate Regression in Deep Learning of Thermochemical Processes. CoRR (2023)
Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, Bernhard C. Geiger
Data vs. Physics: The Apparent Pareto Front of Physics-Informed Neural Networks. IEEE Access 11 (2023)
Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, Bernhard C. Geiger
On the Role of Fixed Points of Dynamical Systems in Training Physics-Informed Neural Networks. Trans. Mach. Learn. Res. 2023 (2023)
Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, Bernhard C. Geiger
Understanding the Difficulty of Training Physics-Informed Neural Networks on Dynamical Systems. CoRR (2022)
Franz M. Rohrhofer, Santanu Saha, Simone Di Cataldo, Bernhard C. Geiger, Wolfgang von der Linden, Lilia Boeri
Importance of feature engineering and database selection in a machine learning model: A case study on carbon crystal structures. CoRR (2021)
Franz M. Rohrhofer, Stefan Posch, Bernhard C. Geiger
On the Pareto Front of Physics-Informed Neural Networks. CoRR (2021)