Raphael Leiteritz

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 9

Top Topics

Back Propagation

Benchmark Suite

Thermal Conductivity

Top Venues

Publications

Kyle Davis, Raphael Leiteritz, Dirk Pflüger, Miriam Schulte
Deep learning based surrogate modeling for thermal plume prediction of groundwater heat pumps. CoRR (2023)
Makoto Takamoto, Timothy Praditia, Raphael Leiteritz, Dan MacKinlay, Francesco Alesiani, Dirk Pflüger, Mathias Niepert
PDEBENCH: An Extensive Benchmark for Scientific Machine Learning. CoRR (2022)
Raphael Leiteritz, Patrick Buchfink, Bernard Haasdonk, Dirk Pflüger
Surrogate-data-enriched Physics-Aware Neural Networks. NLDL (2022)
Makoto Takamoto, Timothy Praditia, Raphael Leiteritz, Daniel MacKinlay, Francesco Alesiani, Dirk Pflüger, Mathias Niepert
PDEBench: An Extensive Benchmark for Scientific Machine Learning. NeurIPS (2022)
Raphael Leiteritz, Kyle Davis, Miriam Schulte, Dirk Pflüger
A Deep Learning Approach for Thermal Plume Prediction of Groundwater Heat Pumps. CoRR (2022)
Raphael Leiteritz, Patrick Buchfink, Bernard Haasdonk, Dirk Pflüger
Surrogate-data-enriched Physics-Aware Neural Networks. CoRR (2021)
Raphael Leiteritz, Marcel Hurler, Dirk Pflüger
Learning Free-Surface Flow with Physics-Informed Neural Networks. CoRR (2021)
Raphael Leiteritz, Marcel Hurler, Dirk Pflüger
Learning Free-Surface Flow with Physics-Informed Neural Networks. ICMLA (2021)
Raphael Leiteritz, Dirk Pflüger
How to Avoid Trivial Solutions in Physics-Informed Neural Networks. CoRR (2021)