| Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching A Zeng, S Song, KT Yu, E Donlon, FR Hogan, M Bauza, D Ma, O Taylor, ... The International Journal of Robotics Research 41 (7), 690-705, 2022 | 641 | 2022 |
| Modular meta-learning F Alet, T Lozano-Pérez, LP Kaelbling Conference on robot learning, 856-868, 2018 | 141 | 2018 |
| GraphCast: Learning skillful medium-range global weather forecasting R Lam, A Sanchez-Gonzalez, M Willson, P Wirnsberger, M Fortunato, ... arXiv preprint arXiv:2212.12794, 2022 | 89 | 2022 |
| Graph element networks: adaptive, structured computation and memory F Alet, AK Jeewajee, MB Villalonga, A Rodriguez, T Lozano-Perez, ... International Conference on Machine Learning, 212-222, 2019 | 87 | 2019 |
| Meta-learning curiosity algorithms F Alet, MF Schneider, T Lozano-Perez, LP Kaelbling arXiv preprint arXiv:2003.05325, 2020 | 64 | 2020 |
| Neural relational inference with fast modular meta-learning F Alet, E Weng, T Lozano-Pérez, LP Kaelbling Advances in Neural Information Processing Systems 32, 2019 | 58 | 2019 |
| Omnipush: accurate, diverse, real-world dataset of pushing dynamics with rgb-d video M Bauza, F Alet, YC Lin, T Lozano-Pérez, LP Kaelbling, P Isola, ... 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 26* | 2019 |
| Noether networks: meta-learning useful conserved quantities F Alet, D Doblar, A Zhou, J Tenenbaum, K Kawaguchi, C Finn Advances in Neural Information Processing Systems 34, 16384-16397, 2021 | 21 | 2021 |
| Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time F Alet, M Bauza, K Kawaguchi, NG Kuru, T Lozano-Perez, L Kaelbling Advances in Neural Information Processing Systems 34, 29206-29217, 2021 | 21 | 2021 |
| A large-scale benchmark for few-shot program induction and synthesis F Alet, J Lopez-Contreras, J Koppel, M Nye, A Solar-Lezama, ... International Conference on Machine Learning, 175-186, 2021 | 18 | 2021 |
| Robotic gripper design with evolutionary strategies and graph element networks F Alet, M Bauza, AK Jeewajee, M Thomsen, A Rodriguez, LP Kaelbling, ... NeurIPS Workshop on Machine Learning for Engineering Modeling, Simulation …, 2020 | 5 | 2020 |
| Modular meta-learning in abstract graph networks for combinatorial generalization F Alet, M Bauza, A Rodriguez, T Lozano-Perez, LP Kaelbling arXiv preprint arXiv:1812.07768, 2018 | 3 | 2018 |
| Finding frequent entities in continuous data F Alet, R Chitnis, LP Kaelbling, T Lozano-Pérez arXiv preprint arXiv:1805.02874, 2018 | 2 | 2018 |
| Learning skillful medium-range global weather forecasting R Lam, A Sanchez-Gonzalez, M Willson, P Wirnsberger, M Fortunato, ... Science, eadi2336, 2023 | | 2023 |
| Functional Risk Minimization F Alet, C Gehring, T Lozano-Pérez, JB Tenenbaum, LP Kaelbling | | 2022 |
| Measuring few-shot extrapolation with program induction F Alet, J Lopez-Contreras, T Lozano-Pérez, LP Kaelbling, J Tenenbaum NeurIPS 2020 Workshop on Computer-Assisted Programming, 2020 | | 2020 |
| Finding important entities in continuous streaming data FAIP Alet Massachusetts Institute of Technology, 2018 | | 2018 |
| Appendix for: Neural Relational Inference with Fast Modular Meta-learning F Alet, E Weng, TL Pérez, LP Kaelbling | | |
| Effective, interpretable algorithms for curiosity automatically discovered by evolutionary search M Schneider, F Alet, T Lozano-Pérez, LP Kaelbling | | |
| ENHANCING MATHEMATICAL RESEARCH IN HIGH SCHOOL L Morera, J Rué, F Alet | | |
Leslie KaelblingGeverifieerd e-mailadres voor csail.mit.edu
