Learning nonparametric ordinary differential equations from noisy data.
- DOI
- 10.1016/j.jcp.2024.112971
- Published
- 2024 Jun 15
- Container
- Journal of computational physics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.jcp.2024.112971,
title = {Learning nonparametric ordinary differential equations from noisy data.},
author = {Lahouel K and Wells M and Rielly V and Lew E and Lovitza D and Jedynak BM},
year = {2024},
journal = {Journal of computational physics},
doi = {10.1016/j.jcp.2024.112971},
url = {https://doi.org/10.1016/j.jcp.2024.112971}
}RIS
TY - JOUR TI - Learning nonparametric ordinary differential equations from noisy data. AU - Lahouel K AU - Wells M AU - Rielly V AU - Lew E AU - Lovitza D AU - Jedynak BM PY - 2024 JO - Journal of computational physics DO - 10.1016/j.jcp.2024.112971 UR - https://doi.org/10.1016/j.jcp.2024.112971 ER -
APA
K, L., M, W., V, R., E, L., D, L., & BM, J. (2024). Learning nonparametric ordinary differential equations from noisy data.. Journal of computational physics. https://doi.org/10.1016/j.jcp.2024.112971
Source records
- pubmed · retrieved 2026-09-25T11:12:18.157Z
- europe-pmc · retrieved 2026-09-25T11:12:18.143Z