Approximation Error of Sobolev Regular Functions with Tanh Neural Networks: Theoretical Impact on PINNs

Cite

Text

Girault et al. "Approximation Error of Sobolev Regular Functions with Tanh Neural Networks: Theoretical Impact on PINNs." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024. doi:10.1007/978-3-031-70359-1_16

Markdown

[Girault et al. "Approximation Error of Sobolev Regular Functions with Tanh Neural Networks: Theoretical Impact on PINNs." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024.](https://mlanthology.org/ecmlpkdd/2024/girault2024ecmlpkdd-approximation/) doi:10.1007/978-3-031-70359-1_16

BibTeX

@inproceedings{girault2024ecmlpkdd-approximation,
  title     = {{Approximation Error of Sobolev Regular Functions with Tanh Neural Networks: Theoretical Impact on PINNs}},
  author    = {Girault, Benjamin and Emonet, Rémi and Habrard, Amaury and Patracone, Jordan and Sebban, Marc},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2024},
  pages     = {266-282},
  doi       = {10.1007/978-3-031-70359-1_16},
  url       = {https://mlanthology.org/ecmlpkdd/2024/girault2024ecmlpkdd-approximation/}
}