Kevin A Smith
Kevin A Smith
Department of Brain and Cognitive Sciences, MIT
Verified email at - Homepage
Cited by
Cited by
End-to-end differentiable physics for learning and control
F de Avila Belbute-Peres, K Smith, K Allen, J Tenenbaum, JZ Kolter
Advances in neural information processing systems 31, 2018
Differentiable physics and stable modes for tool-use and manipulation planning
MA Toussaint, KR Allen, KA Smith, JB Tenenbaum
Robotics: Science and systems foundation, 2018
Multiply-constrained semantic search in the Remote Associates Test
KA Smith, DE Huber, E Vul
Cognition 128, 64-75, 2013
Sources of uncertainty in intuitive physics
KA Smith, E Vul
Topics in cognitive science 5 (1), 185-199, 2013
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning
KR Allen, KA Smith, JB Tenenbaum
Proceedings of the National Academy of Sciences 117 (47), 29302-29310, 2020
Modeling expectation violation in intuitive physics with coarse probabilistic object representations
K Smith, L Mei, S Yao, J Wu, E Spelke, J Tenenbaum, T Ullman
Advances in neural information processing systems 32, 2019
Agent: A benchmark for core psychological reasoning
T Shu, A Bhandwaldar, C Gan, K Smith, S Liu, D Gutfreund, E Spelke, ...
International conference on machine learning, 9614-9625, 2021
Physion: Evaluating physical prediction from vision in humans and machines
DM Bear, E Wang, D Mrowca, FJ Binder, HYF Tung, RT Pramod, ...
arXiv preprint arXiv:2106.08261, 2021
Consistent physics underlying ballistic motion prediction
KA Smith, P Battaglia, E Vul
Annual Meeting of the Cognitive Science Society, 2013
Think again? The amount of mental simulation tracks uncertainty in the outcome.
JB Hamrick, KA Smith, TL Griffiths, E Vul
CogSci, 2015
Physical predictions over time
KA Smith, E Dechter, JB Tenenbaum, E Vul
Annual Meeting of the Cognitive Science Society, 2013
Different physical intuitions exist between tasks, not domains
KA Smith, PW Battaglia, E Vul
Computational Brain & Behavior 1, 101-118, 2018
Empirical evidence for markov chain monte carlo in memory search
D Bourgin, J Abbott, T Griffiths, K Smith, E Vul
Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014
Unsupervised discovery of 3d physical objects from video
Y Du, K Smith, T Ulman, J Tenenbaum, J Wu
arXiv preprint arXiv:2007.12348, 2020
Partial mental simulation explains fallacies in physical reasoning
I Bass, KA Smith, E Bonawitz, TD Ullman
Cognitive Neuropsychology 38 (7-8), 413-424, 2021
The tools challenge: Rapid trial-and-error learning in physical problem solving
KR Allen, KA Smith, JB Tenenbaum
arXiv preprint arXiv:1907.09620 14, 2019
The'Fundamental Attribution Error'is rational in an uncertain world.
D Walker, KA Smith, E Vul
CogSci, 2015
Looking forwards and backwards: Similarities and differences in prediction and retrodiction
K Smith, E Vul
Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014
Data-efficient learning for complex and real-time physical problem solving using augmented simulation
K Ota, DK Jha, D Romeres, J van Baar, KA Smith, T Semitsu, T Oiki, ...
IEEE Robotics and Automation Letters 6 (2), 4241-4248, 2021
Mental jenga: A counterfactual simulation model of causal judgments about physical support.
L Zhou, KA Smith, JB Tenenbaum, T Gerstenberg
Journal of Experimental Psychology: General 152 (8), 2237, 2023
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