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CI Causal Induction
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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
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By Marinescu, I.
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
S&C
Marinescu, I., McCoy, R. T., & Griffiths, T. L. (2025). Neural networks can capture human concept learning without assuming symbolic representations. (preprint)
PR
S&C
Marinescu, I. R., Thomas McCoy, R. T., & Griffiths, T. (2024). Distilling symbolic priors for concept learning into neural networks. 46th Annual Meeting of the Cognitive Science Society. (pdf)

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