| 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 | 494 | 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 | 341 | 2018 |
| Multiply-constrained semantic search in the Remote Associates Test KA Smith, DE Huber, E Vul Cognition 128, 64-75, 2013 | 165 | 2013 |
| Sources of uncertainty in intuitive physics KA Smith, E Vul Topics in cognitive science 5 (1), 185-199, 2013 | 157 | 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 | 143 | 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 | 98 | 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 | 93 | 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 | 77 | 2021 |
| Consistent physics underlying ballistic motion prediction KA Smith, P Battaglia, E Vul Annual Meeting of the Cognitive Science Society, 2013 | 60 | 2013 |
| Think again? The amount of mental simulation tracks uncertainty in the outcome JB Hamrick, KA Smith, TL Griffiths, E Vul Proceedings of the annual meeting of the cognitive science society 37, 2015 | 59 | 2015 |
| Different physical intuitions exist between tasks, not domains KA Smith, PW Battaglia, E Vul Computational Brain & Behavior 1, 101-118, 2018 | 47 | 2018 |
| Physical predictions over time KA Smith, E Dechter, JB Tenenbaum, E Vul Annual Meeting of the Cognitive Science Society, 2013 | 43 | 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 | 40 | 2014 |
| Partial mental simulation explains fallacies in physical reasoning I Bass, KA Smith, E Bonawitz, TD Ullman Cognitive Neuropsychology 38 (7-8), 413-424, 2021 | 38 | 2021 |
| Unsupervised discovery of 3d physical objects from video Y Du, K Smith, T Ulman, J Tenenbaum, J Wu arXiv preprint arXiv:2007.12348, 2020 | 34 | 2020 |
| Are deep neural networks SMARTer than second graders? A Cherian, KC Peng, S Lohit, KA Smith, JB Tenenbaum Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 31 | 2023 |
| 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 | 26 | 2019 |
| 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 | 23 | 2023 |
| 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 | 19 | 2021 |
| The" Fundamental Attribution Error" is rational in an uncertain world DW Walker, KA Smith, E Vul Proceedings of the Annual Meeting of the Cognitive Science Society 37, 2015 | 19 | 2015 |
Joshua B. TenenbaumMITBestätigte E-Mail-Adresse bei mit.edu
