Deciphering interventional dynamical causality via Kolmogorov–Arnold networks

Liufei Yang, Siyang Leng, Jifan Shi, Wei Lin

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DOI: 10.1063/5.0350835
Published: 2026-09-01
Container: Chaos: An Interdisciplinary Journal of Nonlinear Science
Publisher: AIP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1063/5.0350835,
  title = {Deciphering interventional dynamical causality via Kolmogorov–Arnold networks},
  author = {Liufei Yang and Siyang Leng and Jifan Shi and Wei Lin},
  year = {2026},
  journal = {Chaos: An Interdisciplinary Journal of Nonlinear Science},
  doi = {10.1063/5.0350835},
  url = {https://doi.org/10.1063/5.0350835}
}

RIS

TY  - JOUR
TI  - Deciphering interventional dynamical causality via Kolmogorov–Arnold networks
AU  - Liufei Yang
AU  - Siyang Leng
AU  - Jifan Shi
AU  - Wei Lin
PY  - 2026
JO  - Chaos: An Interdisciplinary Journal of Nonlinear Science
DO  - 10.1063/5.0350835
UR  - https://doi.org/10.1063/5.0350835
ER  -

APA

Yang, L., Leng, S., Shi, J., & Lin, W. (2026). Deciphering interventional dynamical causality via Kolmogorov–Arnold networks. Chaos: An Interdisciplinary Journal of Nonlinear Science. https://doi.org/10.1063/5.0350835

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crossref · retrieved 2026-09-25T17:11:34.263Z