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Correct citation format
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- CITATION.md +32 -0
CITATION.cff
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cff-version: 1.2.0
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message: "If you use this software, please cite it using as below."
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authors:
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- family-names: "Cranmer"
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given-names: "Miles"
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orcid: "https://orcid.org/0000-0002-6458-3423"
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title: "Interpretable Machine Learning for Science with PySR & SymbolicRegression.jl"
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version: 1.0.0
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date-released: 2023-05-02
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doi: 10.48550/arXiv.2305.01582
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url: "https://github.com/MilesCranmer/pysr_paper"
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CITATION.md
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# Citing
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To cite PySR or SymbolicRegression.jl, please use the following BibTeX entry:
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```bibtex
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@misc{cranmerInterpretableMachineLearning2023a,
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title = {Interpretable {Machine} {Learning} for {Science} with {PySR} and {SymbolicRegression}.jl},
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url = {http://arxiv.org/abs/2305.01582},
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doi = {10.48550/arXiv.2305.01582},
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urldate = {2023-07-17},
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publisher = {arXiv},
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author = {Cranmer, Miles},
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month = may,
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year = {2023},
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note = {arXiv:2305.01582 [astro-ph, physics:physics]},
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keywords = {Astrophysics - Instrumentation and Methods for Astrophysics, Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing, Computer Science - Symbolic Computation, Physics - Data Analysis, Statistics and Probability},
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}
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```
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To cite symbolic distillation of neural networks, the following BibTeX entry can be used:
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```bibtex
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@article{cranmer2020discovering,
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title={Discovering Symbolic Models from Deep Learning with Inductive Biases},
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author={Miles Cranmer and Alvaro Sanchez-Gonzalez and Peter Battaglia and Rui Xu and Kyle Cranmer and David Spergel and Shirley Ho},
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journal={NeurIPS 2020},
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year={2020},
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eprint={2006.11287},
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archivePrefix={arXiv},
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primaryClass={cs.LG}
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}
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```
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