Timothy Praditia

Orcid: 0000-0003-3619-9122

According to our database¹, Timothy Praditia authored at least 21 papers between 2021 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2025

Inferring Underwater Topography with Finite Volume Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 33rd European Symposium on Artificial Neural Networks, 2025

2024

PDEBench Datasets.

[BibT_eX]

[DOI]

Dataset, February, 2024

Inferring Underwater Topography with FINN.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Physical Domain Reconstruction with Finite Volume Neural Networks.

[BibT_eX]

[DOI]

Appl. Artif. Intell., December, 2023

PDEBench Datasets.

[BibT_eX]

[DOI]

Dataset, November, 2023

PDEBench Pretrained Models.

[BibT_eX]

[DOI]

Dataset, November, 2023

PDEBench Datasets.

[BibT_eX]

[DOI]

Dataset, October, 2023

The deep arbitrary polynomial chaos neural network or how Deep Artificial Neural Networks could benefit from data-driven homogeneous chaos theory.

[BibT_eX]

[DOI]

Neural Networks, September, 2023

PDEBench Datasets.

[BibT_eX]

[DOI]

Dataset, September, 2023

PDEBench Datasets.

[BibT_eX]

[DOI]

Dataset, August, 2023

PDEBench Datasets.

[BibT_eX]

[DOI]

Dataset, April, 2023

Physics-informed neural networks for learning dynamic, distributed and uncertain systems.

[BibT_eX]

[DOI]

Timothy Praditia

PhD thesis, 2023

2022

Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network.

[BibT_eX]

[DOI]

Dataset, November, 2022

PDEBench Datasets.

[BibT_eX]

[DOI]

Dataset, October, 2022

Finite Volume Neural Network.

[BibT_eX]

[DOI]

Dataset, October, 2022

PDEBench Datasets.

[BibT_eX]

[DOI]

Dataset, July, 2022

PDEBench Pretrained Models.

[BibT_eX]

[DOI]

Dataset, June, 2022

PDEBench: An Extensive Benchmark for Scientific Machine Learning.

[BibT_eX]

[DOI]

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

Composing Partial Differential Equations with Physics-Aware Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Infering Boundary Conditions in Finite Volume Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

Finite Volume Neural Network: Modeling Subsurface Contaminant Transport.

[BibT_eX]

[DOI]

CoRR, 2021

Timothy Praditia

Timeline

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Bibliography

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