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20 Publications
2024 | Journal Article | LibreCat-ID: 46469 | 
Offen, C., & Ober-Blöbaum, S. (2024). Learning of discrete models of variational PDEs from data. Chaos, 34(1), Article 013104. https://doi.org/10.1063/5.0172287
LibreCat
| Files available
| DOI
| arXiv
2024 | Preprint | LibreCat-ID: 53805 |
Offen, C. (n.d.). Machine learning of continuous and discrete variational ODEs with convergence guarantee and uncertainty quantification.
LibreCat
| Files available
| arXiv
2023 | Conference Paper | LibreCat-ID: 42163 |
Offen, C., & Ober-Blöbaum, S. (2023). Learning discrete Lagrangians for variational PDEs from data and detection of travelling waves. In F. Nielsen & F. Barbaresco (Eds.), Geometric Science of Information (Vol. 14071, pp. 569–579). Springer, Cham. https://doi.org/10.1007/978-3-031-38271-0_57
LibreCat
| Files available
| DOI
| arXiv
2023 | Journal Article | LibreCat-ID: 29240 |
Ober-Blöbaum, S., & Offen, C. (2023). Variational Learning of Euler–Lagrange Dynamics from Data. Journal of Computational and Applied Mathematics, 421, 114780. https://doi.org/10.1016/j.cam.2022.114780
LibreCat
| Files available
| DOI
| arXiv
2023 | Journal Article | LibreCat-ID: 29236 |
McLachlan, R., & Offen, C. (2023). Backward error analysis for conjugate symplectic methods. Journal of Geometric Mechanics, 15(1), 98–115. https://doi.org/10.3934/jgm.2023005
LibreCat
| Files available
| DOI
| arXiv