Publications

View By Topic:
All Topics
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

(Click on an author's name to view all papers by that author.)


Filter publications

By Weller, A.
RPM
Collins, K. M, Todd, G., Zhang, C. E, Weller, A., Togelius, J., Chu, J., Wong, L., Griffiths, T. L., & Tenenbaum, J. B. (2025). Generation and Evaluation in the Human Invention Process through the Lens of Game Design. Proceedings of the Annual Meeting of the Cognitive Science Society, 47. (pdf)
DMRL
RPM
Collins, K. M., Zhang, C. E., Wong, L., da Costa, M. B., Todd, G., Weller, A., Cheyette, S. J., Griffiths, T. L., & Tenenbaum, J. B. (2025). People use fast, flat goal-directed simulation to reason about novel problems. (preprint)
S&C
SC
Sucholutsky, I., Collins, K. M., Malaviya, M., Jacoby, N., Liu, W., Sumers, T. R., Korakakis, M., Bhatt, U., Ho, M., Tenenbaum, J. B., Love, B., Pardos, Z. A., Weller, A., & Griffiths, T. L. (2025). Representational alignment supports effective machine teaching. ICLR 2025 Workshop on Bidirectional Human-AI Alignment (pdf)
RPM
Ying, L., Collins, K. M., Sharma, P., Colas, C., Zhao, K. I., Weller, A., Tavares, Z., Isola, P., Gershman, S. J., Andreas, J. D., Griffiths, T. L., Chollet, F., Allen, K. R., & Tenenbaum, J. B. (2025). Assessing adaptive world models in machines with novel games. (preprint)
F
Ying, L., Collins, K. M., Wong, L., Sucholutsky, I., Liu, R., Weller, A., Shu, T., Griffiths, T. L., & Tenenbaum, J. B. (2025). On benchmarking human-like intelligence in machines. (preprint)
F
SC
Collins, K. M., Sucholutsky, I., Bhatt, U., Chandra, K., Wong, L., Lee, M., Zhang, C. E., Zhi-Xuan, T., Ho, M., Mansinghka, V., Weller, A., Tenenbaum, J. B., & Griffiths, T. L. (2024). Building machines that learn and think with people. Nature Human Behaviour, 8(10), 1851-1863. (pdf)
S&C
Sucholutsky, I., Battleday, R., Collins, K., Marjieh, R., Peterson, J. C., Singh, P., Bhatt, U., Jacoby, N., Weller, A., & Griffiths, T. L. (2023). On the informativeness of supervision signals. Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence. (pdf)
F
Sucholutsky, I., Muttenthaler, L., Weller, A., Peng, A., Bobu, A., Kim, B., Love, B. C., Grant, E., Achterberg, J., Tenenbaum, J. B., Collins, K. M., Hermann, K. L., Oktar, K., Greff, K., Hebart, M. N., Jacoby, N., Marjieh, R., Geirhos, R., Chen, S., Kornblith, S., Rane, S., Konkle, T., O'Connell, T. P., Unterthiner, T., Lampinen, A. K., Müller, K.-R., Toneva, M., & Griffiths, T. L. (2023). Getting aligned on representational alignment. (preprint)

© 2026 Computational Cognitive Science Lab  |  Department of Psychology  |  Princeton University