Raphael Leiteritz

According to our database, Raphael Leiteritz authored at least 6 papers between 2021 and 2023.

Collaborative distances:

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

2023

Deep learning based surrogate modeling for thermal plume prediction of groundwater heat pumps.

Kyle Davis, Raphael Leiteritz, Dirk Pflüger, Miriam Schulte

CoRR, 2023

2022

A Deep Learning Approach for Thermal Plume Prediction of Groundwater Heat Pumps.

Raphael Leiteritz, Kyle Davis, Miriam Schulte, Dirk Pflüger

CoRR, 2022

Surrogate-data-enriched Physics-Aware Neural Networks.

Raphael Leiteritz, Patrick Buchfink, Bernard Haasdonk, Dirk Pflüger

Proceedings of the 2022 Northern Lights Deep Learning Workshop, 2022

PDEBench: An Extensive Benchmark for Scientific Machine Learning.

Makoto Takamoto, Timothy Praditia, Raphael Leiteritz, Daniel MacKinlay, Francesco Alesiani, Dirk Pflüger, Mathias Niepert

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

How to Avoid Trivial Solutions in Physics-Informed Neural Networks.

Raphael Leiteritz, Dirk Pflüger

CoRR, 2021

Learning Free-Surface Flow with Physics-Informed Neural Networks.

Raphael Leiteritz, Marcel Hurler, Dirk Pflüger

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021