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Raphael Leiteritz

Orcid: 0000-0001-8070-2384

According to our database1, Raphael Leiteritz authored at least 16 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2021
2022
2023
2024
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1
2
3
4
5
6
7
8
1
1
1
2
1
1
6
3

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
PDEBench Datasets.
[BibTeX]
[DOI]
Makoto Takamoto
,
Timothy Praditia
,
Raphael Leiteritz
,
Daniel MacKinlay
,
Francesco Alesiani
,
Dirk Pflüger
,
Mathias Niepert
Dataset, February, 2024

2023
PDEBench Datasets.
[BibTeX]
[DOI]
Makoto Takamoto
,
Timothy Praditia
,
Raphael Leiteritz
,
Daniel MacKinlay
,
Francesco Alesiani
,
Dirk Pflüger
,
Mathias Niepert
Dataset, November, 2023

PDEBench Pretrained Models.
[BibTeX]
[DOI]
Makoto Takamoto
,
Timothy Praditia
,
Raphael Leiteritz
,
Daniel MacKinlay
,
Francesco Alesiani
,
Dirk Pflüger
,
Mathias Niepert
Dataset, November, 2023

PDEBench Datasets.
[BibTeX]
[DOI]
Makoto Takamoto
,
Timothy Praditia
,
Raphael Leiteritz
,
Daniel MacKinlay
,
Francesco Alesiani
,
Dirk Pflüger
,
Mathias Niepert
Dataset, October, 2023

PDEBench Datasets.
[BibTeX]
[DOI]
Makoto Takamoto
,
Timothy Praditia
,
Raphael Leiteritz
,
Daniel MacKinlay
,
Francesco Alesiani
,
Dirk Pflüger
,
Mathias Niepert
Dataset, September, 2023

PDEBench Datasets.
[BibTeX]
[DOI]
Makoto Takamoto
,
Timothy Praditia
,
Raphael Leiteritz
,
Daniel MacKinlay
,
Francesco Alesiani
,
Dirk Pflüger
,
Mathias Niepert
Dataset, August, 2023

PDEBench Datasets.
[BibTeX]
[DOI]
Makoto Takamoto
,
Timothy Praditia
,
Raphael Leiteritz
,
Daniel MacKinlay
,
Francesco Alesiani
,
Dirk Pflüger
,
Mathias Niepert
Dataset, April, 2023

Deep learning based surrogate modeling for thermal plume prediction of groundwater heat pumps.
[BibTeX]
[DOI]
Kyle Davis
,
Raphael Leiteritz
,
Dirk Pflüger
,
Miriam Schulte
CoRR, 2023

2022
PDEBench Datasets.
[BibTeX]
[DOI]
Makoto Takamoto
,
Timothy Praditia
,
Raphael Leiteritz
,
Daniel MacKinlay
,
Francesco Alesiani
,
Dirk Pflüger
,
Mathias Niepert
Dataset, October, 2022

PDEBench Datasets.
[BibTeX]
[DOI]
Makoto Takamoto
,
Timothy Praditia
,
Raphael Leiteritz
,
Daniel MacKinlay
,
Francesco Alesiani
,
Dirk Pflüger
,
Mathias Niepert
Dataset, July, 2022

PDEBench Pretrained Models.
[BibTeX]
[DOI]
Makoto Takamoto
,
Timothy Praditia
,
Raphael Leiteritz
,
Daniel MacKinlay
,
Francesco Alesiani
,
Dirk Pflüger
,
Mathias Niepert
Dataset, June, 2022

A Deep Learning Approach for Thermal Plume Prediction of Groundwater Heat Pumps.
[BibTeX]
[DOI]
Raphael Leiteritz
,
Kyle Davis
,
Miriam Schulte
,
Dirk Pflüger
CoRR, 2022

Surrogate-data-enriched Physics-Aware Neural Networks.
[BibTeX]
[DOI]
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.
[BibTeX]
[DOI]
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.
[BibTeX]
[DOI]
Raphael Leiteritz
,
Dirk Pflüger
CoRR, 2021

Learning Free-Surface Flow with Physics-Informed Neural Networks.
[BibTeX]
[DOI]
Raphael Leiteritz
,
Marcel Hurler
,
Dirk Pflüger
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021


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