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A Bayesian Nonlinear Reduced Order Modeling Using Variational AutoEncoders

Nissrine Akkari , Fabien Casenave , Elie Hachem , David Ryckelynck
Fluids, 2022, 7 (10), pp.334. ⟨10.3390/fluids7100334⟩
Journal articles hal-03853606v1

Physics-informed cluster analysis and a priori efficiency criterion for the construction of local reduced-order bases

Thomas Daniel , Fabien Casenave , Nissrine Akkari , Ali Ketata , David Ryckelynck
Journal of Computational Physics, 2022, 458, pp.111120. ⟨10.1016/⟩
Journal articles hal-03853615v1

Uncertainty quantification in a mechanical submodel driven by a Wasserstein-GAN

Hamza BOUKRAICHI , Nissrine Akkari , Fabien Casenave , David Ryckelynck
IFAC-PapersOnLine, 2022, 55 (20), pp.469-474. ⟨10.1016/j.ifacol.2022.09.139⟩
Journal articles hal-03853628v1

A priori compression of convolutional neural networks for wave simulators

Hamza Boukraichi , Nissrine Akkari , Fabien Casenave , David Ryckelynck
Engineering Applications of Artificial Intelligence, 2023, 126, pp.106973. ⟨10.1016/j.engappai.2023.106973⟩
Journal articles hal-04191834v1