@inproceedings{hewson_bayesian_2023,
	title = {Bayesian machine scientist for model discovery in psychology},
	author = {Hewson, Joshua and Strittmatter, Younes and Marinescu, Ioana and Williams, Chad and Musslick, Sebastian},
	year = {2023},
    booktitle = {NeurIPS 2023 AI for Science Workshop},
    url={https://openreview.net/forum?id=XHFfvzlQ1n}
}

@inproceedings{musslick_evaluation_2023,
	title = {An evaluation of experimental sampling strategies for autonomous empirical research in cognitive science},
	volume = {45},
	author = {Musslick, Sebastian and Hewson, Joshua TS and Andrew, Benjamin W and Strittmatter, Younes and Williams, Chad C and Dang, George T and Dubova, Marina and Holland, John Gerrard},
	year = {2023},
	note = {Issue: 45},
}


@article{dubova_against_2022,
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	volume = {24},
	journal = {MetaArXiv. June},
	author = {Dubova, Marina and Moskvichev, Arseny and Zollman, Kevin},
	year = {2022},
	doi = {10.31222/osf.io/ysv2u},
}

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	year = {2018},
	note = {Publisher: Elsevier},
	pages = {22--27},
	doi = {10.1016/j.jbef.2017.12.004},
}

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@inproceedings{
petersen2021deep,
title={Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients},
author={Brenden K Petersen and Mikel Landajuela Larma and Terrell N. Mundhenk and Claudio Prata Santiago and Soo Kyung Kim and Joanne Taery Kim},
booktitle={International Conference on Learning Representations},
year={2021},
url={https://openreview.net/forum?id=m5Qsh0kBQG},
doi={10.48550/arXiv.1912.04871}
}


@inproceedings{landajuela_unified_2022,
 author = {Landajuela, Mikel and Lee, Chak Shing and Yang, Jiachen and Glatt, Ruben and Santiago, Claudio P and Aravena, Ignacio and Mundhenk, Terrell and Mulcahy, Garrett and Petersen, Brenden K},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh},
 pages = {33985--33998},
 publisher = {Curran Associates, Inc.},
 title = {A Unified Framework for Deep Symbolic Regression},
 url = {https://proceedings.neurips.cc/paper_files/paper/2022/file/dbca58f35bddc6e4003b2dd80e42f838-Paper-Conference.pdf},
 volume = {35},
 year = {2022}
}


@article{cranmer_discovering_2020,
	title = {Discovering symbolic models from deep learning with inductive biases},
	volume = {33},
	journal = {Advances in Neural Information Processing Systems},
	author = {Cranmer, Miles and Sanchez Gonzalez, Alvaro and Battaglia, Peter and Xu, Rui and Cranmer, Kyle and Spergel, David and Ho, Shirley},
	year = {2020},
	pages = {17429--17442},
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}

@article{guimera_bayesian_2020,
	title = {A {Bayesian} machine scientist to aid in the solution of challenging scientific problems},
	volume = {6},
	issn = {2375-2548},
	number = {5},
	journal = {Science advances},
	author = {Guimerà, Roger and Reichardt, Ignasi and Aguilar-Mogas, Antoni and Massucci, Francesco A and Miranda, Manuel and Pallarès, Jordi and Sales-Pardo, Marta},
	year = {2020},
	note = {Publisher: American Association for the Advancement of Science},
	pages = {eaav6971},
	doi = {10.1126/sciadv.aav6971},
}

@article{musslick2024,
    author =	 {Musslick, Sebastian and Strittmatter, Younes and Dubova, Marina},
  title =	 {Closed-loop scientific discovery in the behavioral sciences},
  year =	 {2024},
  publisher={PsyArXiv},
  doi = {10.31234/osf.io/c2ytb},
}


