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How to cite

If you publish results obtained with Occam, please cite the method you used and consider citing Occam itself. The BibTeX entries below are ready to copy.

SINDy (the method)

Brunton, Proctor & Kutz (2016). Discovering governing equations from data by sparse identification of nonlinear dynamical systems. Proceedings of the National Academy of Sciences, 113(15), 3932–3937.

Copy@article{brunton2016sindy,
  title   = {Discovering governing equations from data by sparse
             identification of nonlinear dynamical systems},
  author  = {Brunton, Steven L. and Proctor, Joshua L. and Kutz,
             J. Nathan},
  journal = {Proceedings of the National Academy of Sciences},
  volume  = {113},
  number  = {15},
  pages   = {3932--3937},
  year    = {2016},
  doi     = {10.1073/pnas.1517384113}
}

PySINDy (the software)

de Silva et al. (2020). PySINDy: A Python package for the sparse identification of nonlinear dynamical systems from data. Journal of Open Source Software, 5(49), 2104.

Copy@article{desilva2020pysindy,
  title   = {{PySINDy}: A {P}ython package for the sparse identification
             of nonlinear dynamical systems from data},
  author  = {de Silva, Brian M. and Champion, Kathleen and Quade,
             Markus and Loiseau, Jean-Christophe and Kutz, J. Nathan
             and Brunton, Steven L.},
  journal = {Journal of Open Source Software},
  volume  = {5},
  number  = {49},
  pages   = {2104},
  year    = {2020},
  doi     = {10.21105/joss.02104}
}

PySR / SymbolicRegression.jl

Cranmer (2023). Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl. arXiv:2305.01582.

Copy@article{cranmer2023pysr,
  title   = {Interpretable Machine Learning for Science with {PySR}
             and {SymbolicRegression.jl}},
  author  = {Cranmer, Miles},
  journal = {arXiv preprint arXiv:2305.01582},
  year    = {2023},
  url     = {https://arxiv.org/abs/2305.01582}
}

Occam

If Occam itself was useful to your work:

Copy@misc{occam2026,
  title  = {Occam: Symbolic Regression as a Service},
  author = {McIntyre, Alan},
  year   = {2026},
  url    = {https://occam.fit},
  note   = {CodeReclaimers LLC}
}