Kevin A Smith
Kevin A Smith
Department of Brain and Cognitive Sciences, MIT
Verified email at - Homepage
TitleCited byYear
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
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning.
M Toussaint, K Allen, KA Smith, JB Tenenbaum
Robotics: Science and Systems, 2018
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, 7178-7189, 2018
Physical predictions over time
KA Smith, E Dechter, JB Tenenbaum, E Vul
Annual Meeting of the Cognitive Science Society, 2013
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
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
The role of sequential dependence in creative semantic search.
KA Smith, E Vul
topiCS 7 (3), 543-546, 2015
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
Thinking inside the box: Motion prediction in contained spaces uses simulation.
KA Smith, F Peres, E Vul, J Tenebaum
CogSci, 2017
Different physical intuitions exist between tasks, not domains
KA Smith, PW Battaglia, E Vul
Computational Brain & Behavior 1 (2), 101-118, 2018
Faulty Towers: A hypothetical simulation model of physical support.
T Gerstenberg, L Zhou, KA Smith, JB Tenenbaum
CogSci, 2017
The tools challenge: Rapid trial-and-error learning in physical problem solving
KR Allen, KA Smith, JB Tenenbaum
arXiv preprint arXiv:1907.09620, 2019
Neurocomputational Modeling of Human Physical Scene Understanding
I Yildirim, KA Smith, M Belledonne, J Wu, JB Tenenbaum
2nd Conference on Cognitive Computational Neuroscience, 2018
Prospective uncertainty: The range of possible futures in physical prediction.
KA Smith, E Vul
CogSci, 2015
Batman: Cacophony
K Smith, W Flanagan, S Hope
Dc Comics, 2009
Rapid Trial-and-Error Learning in Physical Problem Solving
K Allen, K Smith, J Tenenbaum
Structure and Priors in Reinforcement Learning Workshop, ICLR, 2019
Learning to act by integrating mental simulations and physical experiments
I Dasgupta, KA Smith, E Schulz, JB Tenenbaum, SJ Gershman
BioRxiv, 321497, 2018
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Articles 1–20