| Relational inductive biases, deep learning, and graph networks PW Battaglia, JB Hamrick, V Bapst, A Sanchez-Gonzalez, V Zambaldi, ... arXiv preprint arXiv:1806.01261, 2018 | 3102 | 2018 |
| Search for high-mass dilepton resonances in pp collisions at s√= 8 TeV with the ATLAS detector A Cerri, C Chavez Barajas, ZJ Grout, CT Potter, I Santoyo Castillo, ... Physical Review D 90 (5), 052005, 2014 | 729 | 2014 |
| 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 | 373 | 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 | 373 | 2018 |
| Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning. M Toussaint, K Allen, KA Smith, JB Tenenbaum Robotics: Science and Systems, 2018 | 285 | 2018 |
| Infinite Mixture Prototypes for Few-Shot Learning KR Allen, E Shelhamer, H Shin, JB Tenenbaum arXiv preprint arXiv:1902.04552, 2019 | 255 | 2019 |
| Residual Policy Learning T Silver, K Allen, J Tenenbaum, L Kaelbling arXiv preprint arXiv:1812.06298, 2018 | 142 | 2018 |
| Relational inductive bias for physical construction in humans and machines JB Hamrick, KR Allen, V Bapst, T Zhu, KR McKee, JB Tenenbaum, ... arXiv preprint arXiv:1806.01203, 2018 | 113 | 2018 |
| 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 | 86 | 2020 |
| Detecting disagreement in conversations using pseudo-monologic rhetorical structure K Allen, G Carenini, R Ng Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 45 | 2014 |
| Few-Shot Bayesian Imitation Learning with Logic over Programs T Silver, KR Allen, AK Lew, LP Kaelbling, J Tenenbaum arXiv preprint arXiv:1904.06317, 2019 | 38* | 2019 |
| Interactions Increase Forager Availability and Activity in Harvester Ants E Pless, J Queirolo, N Pinter-Wollman, S Crow, K Allen, MB Mathur, ... PloS one 10 (11), e0141971, 2015 | 31 | 2015 |
| The Tools Challenge: Rapid Trial-and-Error Learning in Physical Problem Solving KR Allen, KA Smith, JB Tenenbaum arXiv preprint arXiv:1907.09620, 2019 | 25 | 2019 |
| Physical Design using Differentiable Learned Simulators KR Allen, T Lopez-Guevara, K Stachenfeld, A Sanchez-Gonzalez, ... arXiv preprint arXiv:2202.00728, 2022 | 23 | 2022 |
| Learning constraint-based planning models from demonstrations J Loula, K Allen, T Silver, J Tenenbaum 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 13 | 2020 |
| Graph network simulators can learn discontinuous, rigid contact dynamics KR Allen, TL Guevara, Y Rubanova, K Stachenfeld, A Sanchez-Gonzalez, ... 6th Annual Conference on Robot Learning, 2022 | 12 | 2022 |
| Learning rigid dynamics with face interaction graph networks KR Allen, Y Rubanova, T Lopez-Guevara, W Whitney, ... arXiv preprint arXiv:2212.03574, 2022 | 10 | 2022 |
| Go fishing! Responsibility judgments when cooperation breaks down. K Allen, J Jara-Ettinger, T Gerstenberg, M Kleiman-Weiner, ... CogSci, 2015 | 10 | 2015 |
| Ogre: An object-based generalization for reasoning environment KR Allen, A Bakhtin, K Smith, JB Tenenbaum, L van der Maaten NeurIPS Workshop on Object Representations for Learning and Reasoning, 2020 | 8 | 2020 |
| Discovering a symbolic planning language from continuous experience. J Loula, T Silver, KR Allen, J Tenenbaum CogSci, 2193, 2019 | 6 | 2019 |
Joshua B. TenenbaumMITVerified email at mit.edu
