Computational Cognitive Science Lab

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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 Snell, J.
S&C	Marjieh, R., Kumar, S., Campbell, D., Zhang, L., Snell, J., Griffiths, T. L. (2026). Generative Similarity, Generalization, and Abstraction. (preprint)
P	Liu, G., Snell, J. C., Griffiths, T. L., & Dubey, R. (2025). Binary climate data visuals amplify perceived impact of climate change. Nature Human Behaviour, 1–10. (pdf)
F	Snell, J. C., & Griffiths, T. L. (2025). Conformal prediction as Bayesian quadrature. Proceedings of the 42nd International Conference on Machine Learning (ICML).(pdf)
SML	Zhang, L., Snell, J. C., & Griffiths, T. L. (2025). Amoritzed Bayesian Meta-Learning for Low-Rank Adaptation of Large Language Models. Proceedings of the 2nd Workshop on Uncertainty-Aware NLP (pdf)
IB NBM	Bencomo, G. M., Snell, J. C., & Griffiths, T. L. (2024). Implicit Maximum a Posteriori Filtering via adaptive optimization. Proceedings of the 12th International Conference on Learning Representations (ICLR). (preprint)
IB P	Marjieh, R., Kumar, S., Campbell, D., Zhang, L., Bencomo, G., Snell, J., & Griffiths, T. L. (2024). Using contrastive learning with generative similarity to learn spaces that capture human inductive biases. (preprint)
P SML	Dedhia, B., Chang, M., Snell, J. C., Griffiths, T. L., & Jha, N. K. (2023). Im-Promptu: In-context composition from image prompts. Advances in Neural Information Processing Systems 37. (preprint)
NBM	Snell, J. C., Bencomo, G. M., Griffiths, T. L. (2023). A metalearned neural circuit for nonparametric Bayesian inference. Advances in Neural Information Processing Systems 37.(preprint)