| 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, 7178-7189, 2018 | 124 | 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 | 108 | 2018 |
| Multiply-constrained semantic search in the Remote Associates Test KA Smith, DE Huber, E Vul Cognition 128, 64-75, 2013 | 92 | 2013 |
| Sources of uncertainty in intuitive physics KA Smith, E Vul Topics in cognitive science 5 (1), 185-199, 2013 | 88 | 2013 |
| Consistent physics underlying ballistic motion prediction KA Smith, P Battaglia, E Vul Annual Meeting of the Cognitive Science Society, 2013 | 36 | 2013 |
| Think again? The amount of mental simulation tracks uncertainty in the outcome. JB Hamrick, KA Smith, TL Griffiths, E Vul CogSci, 2015 | 32 | 2015 |
| Physical predictions over time KA Smith, E Dechter, JB Tenenbaum, E Vul Annual Meeting of the Cognitive Science Society, 2013 | 32 | 2013 |
| 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 | 26 | 2014 |
| 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, 8985-8995, 2019 | 13 | 2019 |
| 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 | 10 | 2019 |
| Different physical intuitions exist between tasks, not domains KA Smith, PW Battaglia, E Vul Computational Brain & Behavior 1 (2), 101-118, 2018 | 10 | 2018 |
| The role of sequential dependence in creative semantic search. KA Smith, E Vul topiCS 7 (3), 543-546, 2015 | 9 | 2015 |
| The'Fundamental Attribution Error'is rational in an uncertain world. D Walker, KA Smith, E Vul CogSci, 2015 | 9 | 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 | 9 | 2014 |
| Thinking inside the box: Motion prediction in contained spaces uses simulation. KA Smith, F Peres, E Vul, J Tenebaum CogSci, 2017 | 7 | 2017 |
| Learning to act by integrating mental simulations and physical experiments I Dasgupta, KA Smith, E Schulz, JB Tenenbaum, SJ Gershman BioRxiv, 321497, 2018 | 5 | 2018 |
| Faulty Towers: A hypothetical simulation model of physical support. T Gerstenberg, L Zhou, KA Smith, JB Tenenbaum CogSci, 2017 | 5 | 2017 |
| Neurocomputational modeling of human physical scene understanding I Yildirim, KA Smith, ME Belledonne, J Wu, JB Tenenbaum Cognitive Computational Neuroscience, 2018 | 4 | 2018 |
| Prospective uncertainty: The range of possible futures in physical prediction. KA Smith, E Vul CogSci, 2015 | 3 | 2015 |
| 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 | 2 | 2020 |
Joshua B. TenenbaumMITVerified email at mit.edu
