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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...
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research
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10/13/2022
PDEBENCH: An Extensive Benchmark for Scientific Machine Learning
Machine learning-based modeling of physical systems has experienced incr...
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11/23/2021
Composing Partial Differential Equations with Physics-Aware Neural Networks
We introduce a compositional physics-aware neural network (FINN) for lea...
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04/13/2021
