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All Topics CI Causal Induction CD Cognitive Development CEIL Cultural Evolution and Iterated Learning DMRL Decision Making and Reinforcement Learning E Education F Foundations IB Inductive Biases NBM Nonparametric Bayesian Models P Perception PR Probabilistic Reasoning RPM Rational Process Models S&C Similarity and Categorization SC Social Cognition SML Statistical Models of Language
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F SML Binz, M. , Akata, E. , Bethge, M. , Brändle, F. , Callaway, F. , Coda-Forno, J. , Dayan, P. , Demircan, C. , Eckstein, M. K. , Éltető, N. , Griffiths, T. L. , Haridi, S. , Jagadish, A. K. , Ji-An, L. , Kipnis, A. , Kumar, S. , Ludwig, T. , Mathony, M. , Mattar, M. , Modirshanechi, A. , Nath, S. S. , Peterson, J. C. , Rmus, M. , Russek, E. M. , Saanum, T. , Scharfenberg, N. , Schubert, J. A. , Schulze Buschoff, L. M. , Singhi, N. , Sui, X. , Thalmann, M. , Theis, F. , Truong, V. , Udandarao, V. , Voudouris, K. , Wilson, R. , Witte, K. , Wu, S. , Wulff, D. , Xiong, H. , & Schulz, E. (2025). A foundation model to predict and capture human cognition. Nature. (pdf)
SC SML Liu, R. , Geng, J. , Peterson, J. C. , Sucholutsky, I. , & Griffiths, T. L. (2025). Large language models assume people are more rational than we really are. Proceedings of the 13th International Conference on Learning Representations (ICLR). (pdf)
DMRL F Plonsky, O. , Apel, R. , Ert, E. , Tennenholtz, M. , Bourgin, D. , Peterson, J. C. , Reichman, D. , Griffiths, T. L. , Russell, S. J. , Carter, E. C. , Cavanagh, J. F. , & Erev, I. (2025). Predicting human decisions with behavioural theories and machine learning. Nature Human Behaviour, 9(11), 2271–2284. (pdf)
DMRL Zhu, J. Q. , Peterson, J. C. , Enke, B. , & Griffiths, T. L. (2025). Capturing the complexity of human strategic decision-making with machine learning. Nature Human Behaviour. (pdf)
P S&C Marjieh, R. , Jacoby, N. , Peterson, J. C. , & Griffiths, T. L. (2024). The Universal Law of Generalization holds for naturalistic stimuli. Journal of Experimental Psychology: General, 153 (3), 573–589. (pdf)
DMRL Reichman, D. , Peterson, J. C. , & Griffiths, T. L. (2024). Machine learning for modeling human decisions. Decision, 11 (4), 619. (pdf)
DMRL Agrawal, M. , Peterson, J. C. , Cohen, J. D. , & Griffiths, T. L. (2023). Stress, intertemporal choice, and mitigation behavior during the COVID-19 pandemic. Journal of Experimental Psychology: General, 152 (9), 2695–2702. (pdf)
P S&C Jha, A. , Peterson, J. C. , & Griffiths, T. L. (2023). Extracting low‐dimensional psychological representations from convolutional neural networks. Cognitive Science, 47 (1), e13226. (pdf)
S&C Sucholutsky, I. , Battleday, R. , Collins, K. , Marjieh, R. , Peterson, J. C. , Singh, P. , Bhatt, U. , Jacoby, N. , Weller, A. , & Griffiths, T. L. (2023). On the informativeness of supervision signals. Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence. (pdf)
P S&C Battleday, R. M. , Peterson, J. C. , & Griffiths, T. L. (2021). From convolutional neural networks to models of higher-level cognition (and back again). Annals of the New York Academy of Sciences . (pdf)
P S&C Grewal, K. , Peterson, J. C. , Thompson, B. , & Griffiths, T. L. (2021). Exploring the structure of human adjective representations. SVRHM 2021 Workshop @ NeurIPS. (pdf)
DMRL Agrawal, M. , Peterson, J. C. , & Griffiths, T. L. (2020). Scaling up psychology via Scientific Regret Minimization. Proceedings of the National Academy of Sciences . (pdf)
P S&C Battleday, R. M. , Peterson, J. C. , & Griffiths, T. L. (2020). Capturing human categorization of natural images by combining deep networks and cognitive models. Nature Communications, 11 (1), 1-14. (pdf)
P S&C Jha, A. , Peterson, J. C. , & Griffiths, T. L. (2020). Extracting low-dimensional psychological representations from convolutional neural networks. Proceedings of the 42nd Annual Conference of the Cognitive Science Society . (pdf)
P S&C Singh, P. , Peterson, J. C. , Battleday, R. M. , & Griffiths, T. L. (2020). End-to-end deep prototype and exemplar models for predicting human behavior. Proceedings of the 42nd Annual Conference of the Cognitive Science Society . (pdf)
P S&C Grant, E. , Peterson, J. C. , & Griffiths, T. (2019). Learning deep taxonomic priors for concept learning from few positive examples. Proceedings of the 41st Annual Conference of the Cognitive Science Society . (pdf)
DMRL Bourgin, D. , Peterson, J. C. , Reichman, D. , Russell, S. , & Griffiths, T. L. (2019). Cognitive model priors for predicting human decisions. Proceedings of the 36th International Conference on Machine Learning (ICML) . (pdf)
DMRL RPM Agrawal, M. , Peterson, J. C. , & Griffiths, T. L. (2019). Using machine learning to guide cognitive modeling: a case study in moral reasoning. Proceedings of the 41st Annual Conference of the Cognitive Science Society . (pdf)
P S&C Suchow, J. W. , Peterson, J. C. , & Griffiths, T. L. (2018). Learning a face space for experiments on human identity. Proceedings of the 40th Annual Conference of the Cognitive Science Society . (pdf)
S&C SML Chen, D. , Peterson, J. C. , & Griffiths, T. L. (2017). Evaluating vector-space models of analogy. Proceedings of the 39th Annual Conference of the Cognitive Science Society. (pdf)