Musslick, S., Bartlett, L. K., Chandramouli, S. H., Dubova, M., Gobet, F., Griffiths, T. L., ... & Holmes, W. R. (2025). Automating the practice of science: Opportunities, challenges, and implications. Proceedings of the National Academy of Sciences, 122(5), e2401238121. https://www.pnas.org/doi/abs/10.1073/pnas.2401238121

Musslick, S., Andrew, B., Williams, C. C., Li, S., Marinescu, I., Dubova, M., ... & Holland, J. G. (2024). AutoRA: Automated research assistant for closed-loop empirical research. Journal of Open Source Software, 9(104), 6839. https://joss.theoj.org/papers/10.21105/joss.06839.pdf

Weinhardt, D., Eckstein, M. K., & Musslick, S. (2024). Computational discovery of human reinforcement learning dynamics from choice behavior. In NeurIPS 2024 Workshop on Behavioral Machine Learning. https://openreview.net/forum?id=x2WDZrpgmB

Li, S., Marinescu, I., & Musslick, S. (2023). GFN-SR: Symbolic regression with generative flow networks. In NeurIPS 2023 Workshop on AI for Science. https://arxiv.org/abs/2312.00396

Marinescu, I., Strittmatter, Y., Williams, C. C., & Musslick, S. (2023). Expression sampler as a dynamic benchmark for symbolic regression. In NeurIPS 2023 Workshop on AI for Science. https://openreview.net/forum?id=i3PecpoiPG

Musslick, S., Andrew, B., Williams, C. C., Li, S., Marinescu, I., Dubova, M., ... & Holland, J. G. (2024). AutoRA: Automated research assistant for closed-loop empirical research. Journal of Open Source Software, 9(104), 6839. https://joss.theoj.org/papers/10.21105/joss.06839.pdf

Strittmatter, Y., Spitzer, M. W., Ging-Jehli, N., & Musslick, S. (2024). A jsPsych touchscreen extension for behavioral research on touch-enabled interfaces. Behavior Research Methods, 56(7), 7814-7830. https://link.springer.com/article/10.3758/s13428-024-02454-9

Weinhardt, D., Eckstein, M. K., & Musslick, S. (2024). Computational discovery of human reinforcement learning dynamics from choice behavior. In NeurIPS 2024 Workshop on Behavioral Machine Learning. https://openreview.net/forum?id=x2WDZrpgmB

Hewson, J. T. S., Strittmatter, Y., Marinescu, I., Williams, C. C., & Musslick, S. (2023). Bayesian machine scientist for model discovery in psychology. In NeurIPS 2023 Workshop on AI for Science. https://openreview.net/pdf?id=XHFfvzlQ1n

Musslick, S., Hewson, J. T., Andrew, B. W., Strittmatter, Y., Williams, C. C., Dang, G. T., ... & Holland, J. G. (2023). An evaluation of experimental sampling strategies for autonomous empirical research in cognitive science. In Proceedings of the Annual Meeting of the Cognitive Science Society (pp. 1386–1392). https://escholarship.org/uc/item/5ch569fg

Musslick, S., Cherkaev, A., Draut, B., Butt, A. S., Darragh, P., Srikumar, V., ... & Cohen, J. D. (2022). SweetPea: A standard language for factorial experimental design. Behavior Research Methods, 1-25.  https://link.springer.com/article/10.3758/s13428-021-01598-2

Recovering quantitative models of human information processing with differentiable architecture search. In Proceedings of the 43rd Annual Conference of the Cognitive Science Society (pp. 348–354).  https://arxiv.org/abs/2103.13939