Fabien Casenave
Orcid: 0000-0002-8810-9128
According to our database1,
Fabien Casenave
authored at least 22 papers
between 2014 and 2024.
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Bibliography
2024
Springer Briefs in Computer Science, Springer, ISBN: 978-3-031-52766-1, 2024
An elasticity-based mesh morphing technique with application to reduced-order modeling.
CoRR, 2024
2023
Eng. Appl. Artif. Intell., November, 2023
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variability.
CoRR, 2023
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under nonparametrized geometrical variability.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
Physics-informed cluster analysis and a priori efficiency criterion for the construction of local reduced-order bases.
J. Comput. Phys., 2022
An updated Gappy-POD to capture non-parameterized geometrical variation in fluid dynamics problems.
Adv. Model. Simul. Eng. Sci., 2022
2021
CoRR, 2021
Optimal piecewise linear data compression for solutions of parametrized partial differential equations.
CoRR, 2021
Uncertainty quantification for industrial design using dictionaries of reduced order models.
CoRR, 2021
Physics-informed cluster analysis and a priori efficiency criterion for the construction of local reduced-order bases.
CoRR, 2021
Data augmentation and feature selection for automatic model recommendation in computational physics.
CoRR, 2021
2020
Adv. Model. Simul. Eng. Sci., 2020
A nonintrusive reduced order model for nonlinear transient thermal problems with nonparametrized variability.
Adv. Model. Simul. Eng. Sci., 2020
Reduced Order Modeling Assisted by Convolutional Neural Network for Thermal Problems with Nonparametrized Geometrical Variability.
Proceedings of the Intelligent Computing, 2020
Deep Convolutional Generative Adversarial Networks Applied to 2D Incompressible and Unsteady Fluid Flows.
Proceedings of the Intelligent Computing, 2020
2016
Variants of the Empirical Interpolation Method: Symmetric formulation, choice of norms and rectangular extension.
Appl. Math. Lett., 2016
2015
J. Comput. Phys., 2015
Adv. Comput. Math., 2015
2014
Coupled BEM-FEM for the convected Helmholtz equation with non-uniform flow in a bounded domain.
J. Comput. Phys., 2014
An Empirical Interpolation based Fast Summation Method for translation invariant kernels.
CoRR, 2014