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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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By Gupta, M.
SML
Fascendini, B., McGregor, K., Gupta, M. D., & Griffiths, T. L. (2026). The Riddle Riddle: Testing Flexible Reasoning in Large Language Models and Humans. (preprint)
F
P
Gupta, M., Campbell, D. I., & Griffiths, T. L. (2026). Meta-Learning Captures Human-Like Geometric Sensitivity. Proceedings of the Annual Meeting of the Cognitive Science Society, 48(1), 1-10. (pdf)
IB
Bencomo, G., Gupta, M., Marinescu, I., McCoy, R. T., & Griffiths, T. L. (2025). Teasing apart architecture and initial weights as sources of inductive bias in neural networks. Proceedings of the Annual Meeting of the Cognitive Science Society, 47.(pdf)
IB
Gupta, M., Rane, S., McCoy, R. T., & Griffiths, T. L. (2025). Convolutional neural networks can (meta-) learn the same-different relation. Proceeding of the Annual Meeting of the Cognitive Science Society, 47.(pdf)

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