Kevin Smith

Projects

Stochastic hypothesis generation and mental simulation

CBMM Publications

Y. Li, Wang, Y. Q., Boger, T., Smith, K. A., Gershman, S. J., and Ullman, T., “An approximate representation of objects underlies physical reasoning”, psyArXiv, 2022.
Y. Du, Smith, K. A., Ullman, T., Tenenbaum, J. B., and Wu, J., “Unsupervised Discovery of 3D Physical Objects”, in International Conference on Learning Representations, 2021.
T. Shu, Bhandwaldar, A., Gan, C., Smith, K. A., Liu, S., Gutfreund, D., Spelke, E. S., Tenenbaum, J. B., and Ullman, T. D., “ AGENT: A Benchmark for Core Psychological Reasoning”, Proceedings of the 38th International Conference on Machine Learning. 2021.
K. Allen, Smith, K. A., Bird, L., Tenenbaum, J. B., Makin, T., and Cowie, D., “Meta-strategy learning in physical problem solving: the effect of embodied experience”, bioRxiv, 2021.
I. Bass, Smith, K. A., Bonawitz, E., and Ullman, T., “Partial Mental Simulation Explains Fallacies in Physical Reasoning”, psyArXiv, 2021.
K. A. Smith, Mei, L., Yao, S., Wu, J., Spelke, E. S., Tenenbaum, J. B., and Ullman, T. D., “The fine structure of surprise in intuitive physics: when, why, and how much?”, in Proceedings of the 42th Annual Meeting of the Cognitive Science Society - Developing a Mind: Learning in Humans, Animals, and Machines, CogSci 2020, virtual, July 29 - August 1, 2020, 2020.
K. Allen, Smith, K. A., and Tenenbaum, J. B., “Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning”, Proceedings of the National Academy of Sciences, p. 201912341, 2020.
K. A. Smith, Mei, L., Yao, S., Wu, J., Spelke, E. S., Tenenbaum, J. B., and Ullman, T. D., “Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations”, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019). Vancouver, Canada, 2019.
Fde Avila Belbute-Peres, Smith, K. A., Allen, K., Tenenbaum, J. B., and Kolter, Z., “End-to-end differentiable physics for learning and control”, Advances in Neural Information Processing Systems 31 (NIPS 2018). 2018.
M. Toussaint, Allen, K., Smith, K. A., and Tenenbaum, J. B., “Differentiable physics and stable modes for tool-use and manipulation planning”, Robotics: Science and Systems 2018. 2018.
T. Gerstenberg, Zhou, L., Smith, K. A., and Tenenbaum, J. B., “Faulty Towers: A counterfactual simulation model of physical support”, Proceedings of the 39th Annual Conference of the Cognitive Science Society. 2017.
F. Peres, Smith, K. A., and Tenenbaum, J. B., “Rapid Physical Predictions from Convolutional Neural Networks”, Neural Information Processing Systems, Intuitive Physics Workshop. 2016.
N. Amir, Besold, T. R., Camoriano, R., Erdogan, G., Flynn, T., Gillary, G., Gomez, J., Herbert-Voss, A., Hotan, G., Kadmon, J., Linderman, S. W., Liu, T. T., Marantan, A., Olson, J., Orchard, G., Pal, D. K., Pasquale, G., Sanders, H., Silberer, C., Smith, K. A., de Briton, C. Stein N., Suchow, J. W., Tessler, M. H., Viejo, G., Walker, D., Wehbe, L., Barbu, A., Isik, L., Mackevicius, E., and Meroz, Y., “Abstracts of the 2014 Brains, Minds, and Machines Summer Course”. 2014.