David Ryckelynck

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 22

Top Topics

Convolutional Neural Networks

Interpolation Method

Laplacian Eigenmaps

Top Venues

Adv. Model. Simul. Eng. Sci.

J. Comput. Phys.

Publications

Matteo Bastico, Etienne Decencière, Laurent Corté, Yannick Tillier, David Ryckelynck
Coupled Laplacian Eigenmaps for Locally-Aware 3D Rigid Point Cloud Matching. CoRR (2024)
Hamza Boukraichi, Nissrine Akkari, Fabien Casenave, David Ryckelynck
A priori compression of convolutional neural networks for wave simulators. Eng. Appl. Artif. Intell. 126 (2023)
Matteo Bastico, David Ryckelynck, Laurent Corté, Yannick Tillier, Etienne Decencière
A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision Transformers. ICCV (Workshops) (2023)
Hamza Boukraichi, Nissrine Akkari, Fabien Casenave, David Ryckelynck
A priori compression of convolutional neural networks for wave simulators. CoRR (2023)
Matteo Bastico, David Ryckelynck, Laurent Corté, Yannick Tillier, Etienne Decencière
A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision Transformers. CoRR (2023)
Nissrine Akkari, Fabien Casenave, David Ryckelynck, Christian Rey
An updated Gappy-POD to capture non-parameterized geometrical variation in fluid dynamics problems. Adv. Model. Simul. Eng. Sci. 9 (1) (2022)
Thomas Daniel, Fabien Casenave, Nissrine Akkari, Ali Ketata, David Ryckelynck
Physics-informed cluster analysis and a priori efficiency criterion for the construction of local reduced-order bases. J. Comput. Phys. 458 (2022)
Youssef Hammadi, David Ryckelynck, Amin El-Bakkali
Data-driven reduced bond graph for nonlinear multiphysics dynamic systems. Appl. Math. Comput. 409 (2021)
Thomas Daniel, Fabien Casenave, Nissrine Akkari, David Ryckelynck
Data augmentation and feature selection for automatic model recommendation in computational physics. CoRR (2021)
Thomas Daniel, Fabien Casenave, Nissrine Akkari, David Ryckelynck, Christian Rey
Uncertainty quantification for industrial design using dictionaries of reduced order models. CoRR (2021)
Thomas Daniel, Ali Ketata, Fabien Casenave, David Ryckelynck
Physics-informed cluster analysis and a priori efficiency criterion for the construction of local reduced-order bases. CoRR (2021)
Hamza Boukraichi, Nissrine Akkari, Fabien Casenave, David Ryckelynck
Uncertainty quantification in a mechanical submodel driven by a Wasserstein-GAN. CoRR (2021)
Thomas Daniel, Fabien Casenave, Nissrine Akkari, David Ryckelynck
Optimal piecewise linear data compression for solutions of parametrized partial differential equations. CoRR (2021)
João P. C. Bertoldo, Etienne Decencière, David Ryckelynck, Henry Proudhon
A modular U-Net for automated segmentation of X-ray tomography images in composite materials. CoRR (2021)
Thomas Daniel, Fabien Casenave, Nissrine Akkari, David Ryckelynck
Model order reduction assisted by deep neural networks (ROM-net). Adv. Model. Simul. Eng. Sci. 7 (1) (2020)
Nissrine Akkari, Fabien Casenave, Marc-Eric Perrin, David Ryckelynck
Deep Convolutional Generative Adversarial Networks Applied to 2D Incompressible and Unsteady Fluid Flows. SAI (2) (2020)
Youssef Hammadi, David Ryckelynck, Amin El-Bakkali
Reduced Bond Graph via machine learning for nonlinear multiphysics dynamic systems. CoRR (2020)
Fabien Casenave, Nissrine Akkari, David Ryckelynck
Reduced Order Modeling Assisted by Convolutional Neural Network for Thermal Problems with Nonparametrized Geometrical Variability. SAI (2) (2020)
Franck Nguyen, Selim M. Barhli, Daniel Pino Muñoz, David Ryckelynck
Computer Vision with Error Estimation for Reduced Order Modeling of Macroscopic Mechanical Tests. Complex. 2018 (2018)
Felix Fritzen, Bernard Haasdonk, David Ryckelynck, Sebastian Schöps
An algorithmic comparison of the Hyper-Reduction and the Discrete Empirical Interpolation Method for a nonlinear thermal problem. CoRR (2016)
David Ryckelynck, Djamel Missoum Benziane
Hyper-reduction framework for model calibration in plasticity-induced fatigue. Adv. Model. Simul. Eng. Sci. 3 (1) (2016)
David Ryckelynck, Laurent Gallimard, Samuel Jules
Estimation of the validity domain of hyper-reduction approximations in generalized standard elastoviscoplasticity. Adv. Model. Simul. Eng. Sci. 2 (1) (2015)
Cyrille Allery, Aziz Hamdouni, David Ryckelynck, N. Verdon
A priori reduction method for solving the two-dimensional Burgers' equations. Appl. Math. Comput. 217 (15) (2011)