Timothy Praditia | DeepAI

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Featured Co-authors

Mathias Niepert
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Sebastian Otte
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Dirk Pflüger
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Francesco Alesiani
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Wolfgang Nowak
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Matthias Karlbauer
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Sergey Oladyshkin
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Raphael Leiteritz
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Makoto Takamoto
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Farid Mohammadi
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research

∙ 06/26/2023

The Deep Arbitrary Polynomial Chaos Neural Network or how Deep Artificial Neural Networks could benefit from Data-Driven Homogeneous Chaos Theory

Artificial Intelligence and Machine learning have been widely used in va...

0 Sergey Oladyshkin, et al. ∙

research

∙ 10/13/2022

PDEBENCH: An Extensive Benchmark for Scientific Machine Learning

Machine learning-based modeling of physical systems has experienced incr...

0 Makoto Takamoto, et al. ∙

research

∙ 11/23/2021

Composing Partial Differential Equations with Physics-Aware Neural Networks

We introduce a compositional physics-aware neural network (FINN) for lea...

6 Matthias Karlbauer, et al. ∙

research

∙ 04/13/2021

Finite Volume Neural Network: Modeling Subsurface Contaminant Transport

Data-driven modeling of spatiotemporal physical processes with general d...

0 Timothy Praditia, et al. ∙