27 citations · 65 across the 6 of their papers we have counts for
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stat.ML2021★ 14 cited
Uncertainty quantification for industrial design using dictionaries of reduced order models
Thomas Daniel, Fabien Casenave, Nissrine Akkari +2
We consider the dictionary-based ROM-net (Reduced Order Model) framework [T. Daniel, F. Casenave, N. Akkari, D. Ryckelynck, Model order reduction assisted by deep neural networks (…
stat.ML2021★ 17 cited
Data augmentation and feature selection for automatic model recommendation in computational physics
Thomas Daniel, Fabien Casenave, Nissrine Akkari +1
Classification algorithms have recently found applications in computational physics for the selection of numerical methods or models adapted to the environment and the state of the…