Victor Michel-Dansac
31
Documents
Publications
Publications
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Generalizing the SINDy approach with nested neural networksCEMRACS 2023 - Scientific Machine Learning, Jul 2023, Marseille (CIRM, Centre International de Rencontres Mathématiques), France. pp.168-192, ⟨10.1051/proc/202581168⟩
Communication dans un congrès
hal-04557263
v2
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Neural network-driven domain decomposition for efficient solutions to the Helmholtz equationDD 2025 - XXIX International Conference on Domain Decomposition Methods in Science and Engineering, Jun 2025, Milano, Italy
Communication dans un congrès
hal-05373220
v2
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On high-precision L<sup>∞</sup>-stable IMEX schemes for scalar hyperbolic multi-scale equationsRecent Advances in Numerical methods for Hyperbolic PDE Systems. Selected talks of Numhyp 2019, Jun 2019, Málaga, Spain. ⟨10.1007/978-3-030-72850-2_4⟩
Communication dans un congrès
hal-02303491
v3
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A second-order well-balanced scheme for the shallow-water equations with topographyHYP2016, Aug 2016, Aachen, Germany. pp.165--177, ⟨10.1007/978-3-319-91545-6_13⟩
Communication dans un congrès
hal-01513186
v1
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A conservative well-balanced hybrid SPH scheme for the shallow-water modelFVCA VII, Jun 2014, Berlin, Germany. pp.817-825, ⟨10.1007/978-3-319-05591-6_82⟩
Communication dans un congrès
hal-00960982
v1
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PrefaceFinite Volumes for Complex Applications X—Volume 1, Elliptic and Parabolic Problems, 432, Springer Nature Switzerland, 2023, Springer Proceedings in Mathematics & Statistics, 978-3-031-40863-2. ⟨10.1007/978-3-031-40864-9⟩
Chapitre d'ouvrage
hal-04270231
v1
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PrefaceFinite Volumes for Complex Applications X—Volume 2, Hyperbolic and Related Problems, 433, Springer Nature Switzerland, 2023, Springer Proceedings in Mathematics & Statistics, 978-3-031-40859-5. ⟨10.1007/978-3-031-40860-1⟩
Chapitre d'ouvrage
hal-04270236
v1
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Enriching continuous Lagrange finite element approximation spaces using neural networks2025
Pré-publication, Document de travail
hal-04935072
v4
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Structural schemes for Hamiltonian systems2025
Pré-publication, Document de travail
hal-04911125
v1
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Multilevel and distributed Physics-Informed Neural Networks for the Helmholtz equationRR-9571, Inria & Université Cote d'Azur, CNRS, I3S, Sophia Antipolis, France. 2024
Rapport
hal-04851623
v1
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Quasi-explicit, unconditionally stable, discontinuous galerkin solvers for conservation laws[Research Report] IRMA (UMR 7501). 2022
Rapport
hal-03665248
v1
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Development of high-order well-balanced schemes for geophysical flowsNumerical Analysis [math.NA]. Université de Nantes, Faculté des sciences et des techniques., 2016. English. ⟨NNT : ⟩
Thèse
tel-01384958
v1
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Structure-preserving methods for Hamiltonian ODEsMaster. Université de Strasbourg, France. 2023
Cours
hal-05490469
v1
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