Reduced basis approximations of parameterized dynamical partial differential equations via neural networks.
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- Foundations of Data Science, 2025, v. 7, n. 1, p. 1, doi. 10.3934/fods.2024044
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- Article
Works matching IS 26398001 AND DT 2025 AND VI 7 AND IP 1
Results: 15
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Stacked networks improve physics-informed training: Applications to neural networks and deep operator networks.
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- Foundations of Data Science, 2025, v. 7, n. 1, p. N.PAG, doi. 10.3934/fods.2024029
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- Article
3
Scientific Machine Learning: A Symbiosis.
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- Foundations of Data Science, 2025, v. 7, n. 1, p. 1, doi. 10.3934/fods.2024051
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- Article
4
Scientific machine learning for closure models in multiscale problems: A review.
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- Foundations of Data Science, 2025, v. 7, n. 1, p. 1, doi. 10.3934/fods.2024043
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- Article
5
Unsupervised physics-informed disentanglement of multimodal data.
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- Foundations of Data Science, 2025, v. 7, n. 1, p. 1, doi. 10.3934/fods.2024019
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- Article
6
Neural network approaches for parameterized optimal control.
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- Foundations of Data Science, 2025, v. 7, n. 1, p. 1, doi. 10.3934/fods.2024042
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- Article
7
Multifidelity linear regression for scientific machine learning from scarce data.
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- Foundations of Data Science, 2025, v. 7, n. 1, p. 1, doi. 10.3934/fods.2024049
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- Article
8
Hyper-differential sensitivity analysis with respect to model discrepancy: Posterior optimal solution sampling.
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- Foundations of Data Science, 2025, v. 7, n. 1, p. 1, doi. 10.3934/fods.2024027
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- Article
9
Heterogeneous peridynamic neural operators: Discover biotissue constitutive law and microstructure from digital image correlation measurements.
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- Foundations of Data Science, 2025, v. 7, n. 1, p. 1, doi. 10.3934/fods.2024041
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- Article
10
GNEP based dynamic segmentation and motion estimation for neuromorphic imaging.
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- Foundations of Data Science, 2025, v. 7, n. 1, p. 1, doi. 10.3934/fods.2024026
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- Article
11
Deep learning enhanced cost-aware multi-fidelity uncertainty quantification of a computational model for radiotherapy.
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- Foundations of Data Science, 2025, v. 7, n. 1, p. 1, doi. 10.3934/fods.2024022
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12
An over complete deep learning method for inverse problems.
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- Foundations of Data Science, 2025, v. 7, n. 1, p. 1, doi. 10.3934/fods.2024036
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- Article
13
An operator learning perspective on parameter-to-observable maps.
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- Foundations of Data Science, 2025, v. 7, n. 1, p. 1, doi. 10.3934/fods.2024037
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- Article
14
A system identification approach for non-intrusive reduced order modeling of radiation-induced photocurrents.
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- Foundations of Data Science, 2025, v. 7, n. 1, p. 1, doi. 10.3934/fods.2024031
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- Article
15
A practical existence theorem for reduced order models based on convolutional autoencoders.
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- Foundations of Data Science, 2025, v. 7, n. 1, p. 1, doi. 10.3934/fods.2024030
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- Article