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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)