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paper.bib
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@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},
pages = {1386--1392},
note = {Issue: 45},
}
@article{dubova_against_2022,
title = {Against theory-motivated experimentation in science},
volume = {24},
journal = {MetaArXiv},
author = {Dubova, Marina and Moskvichev, Arseny and Zollman, Kevin},
year = {2022},
doi = {10.31222/osf.io/ysv2u},
}
@article{palan_prolific_2018,
title = {Prolific. ac—{A} subject pool for online experiments},
volume = {17},
issn = {2214-6350},
journal = {Journal of Behavioral and Experimental Finance},
author = {Palan, Stefan and Schitter, Christian},
year = {2018},
note = {Publisher: Elsevier},
pages = {22--27},
doi = {10.1016/j.jbef.2017.12.004},
}
@article{pedregosa2011scikit,
title={Scikit-learn: Machine learning in {P}ython},
author={Pedregosa, Fabian and Varoquaux, Ga{\"e}l and Gramfort, Alexandre and Michel, Vincent and Thirion, Bertrand and Grisel, Olivier and Blondel, Mathieu and Prettenhofer, Peter and Weiss, Ron and Dubourg, Vincent and others},
journal={Journal of Machine Learning Research},
volume={12},
pages={2825--2830},
year={2011},
publisher={JMLR. org}
}
@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}
}
@article{binz2024centaur,
title={Centaur: a foundation model of human cognition},
author={Binz, Marcel and Akata, Elif and Bethge, Matthias and Br{\"a}ndle, Franziska and Callaway, Fred and Coda-Forno, Julian and Dayan, Peter and Demircan, Can and Eckstein, Maria K and {\'E}ltet{\H{o}}, No{\'e}mi and others},
journal={arXiv preprint arXiv:2410.20268},
year={2024},
doi={10.48550/arXiv.2410.20268}
}
@inproceedings{
weinhardt2024computational,
title={Computational discovery of human reinforcement learning dynamics from choice behavior},
author={Daniel Weinhardt and Maria K Eckstein and Sebastian Musslick},
booktitle={NeurIPS 2024 Workshop on Behavioral Machine Learning},
year={2024},
url={https://openreview.net/forum?id=x2WDZrpgmB}
}
@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{musslick2024perspective,
author = {Musslick, Sebastian and Bartlett, Laura K. and Chandramouli, Suyog H. and Dubova, Marina and Gobet, Fernand and Griffiths, Thomas L. and Hullman, Jessica and King, Ross D. and Kutz, J. Nathan and Lucas, Christopher G. and Mahesh, Suhas and Pestilli, Franco and Sloman, Sabina J. and Holmes, William R.},
title = {Automating the Practice of Science--Opportunities, Challenges, and Implications},
journal = {Proceedings of the National Academy of Sciences},
year = {in press},
}
@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},
doi = {10.48550/arXiv.2006.11287},
}
@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},
}