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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 Bencomo, G.
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. (preprint)
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)
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)

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