| 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 | 3108 | 2018 |
| A simple neural network module for relational reasoning A Santoro, D Raposo, DG Barrett, M Malinowski, R Pascanu, P Battaglia, ... Advances in neural information processing systems 30, 2017 | 1716 | 2017 |
| Interaction networks for learning about objects, relations and physics P Battaglia, R Pascanu, M Lai, DJ Rezende, K Kavukcuoglu Advances in Neural Information Processing Systems 2016, 4502-4510, 2016 | 1499 | 2016 |
| Simulation as an engine of physical scene understanding PW Battaglia, JB Hamrick, JB Tenenbaum Proceedings of the National Academy of Sciences 110 (45), 18327-18332, 2013 | 857 | 2013 |
| Learning to simulate complex physics with graph networks A Sanchez-Gonzalez, J Godwin, T Pfaff, R Ying, J Leskovec, P Battaglia International conference on machine learning, 8459-8468, 2020 | 812 | 2020 |
| Learning deep generative models of graphs Y Li, O Vinyals, C Dyer, R Pascanu, P Battaglia arXiv preprint arXiv:1803.03324, 2018 | 638 | 2018 |
| Graph networks as learnable physics engines for inference and control A Sanchez-Gonzalez, N Heess, JT Springenberg, J Merel, M Riedmiller, ... International Conference on Machine Learning, 4470-4479, 2018 | 632 | 2018 |
| Bayesian integration of visual and auditory signals for spatial localization PW Battaglia, RA Jacobs, RN Aslin Josa a 20 (7), 1391-1397, 2003 | 582 | 2003 |
| Learning mesh-based simulation with graph networks T Pfaff, M Fortunato, A Sanchez-Gonzalez, PW Battaglia arXiv preprint arXiv:2010.03409, 2020 | 515 | 2020 |
| Deep reinforcement learning with relational inductive biases V Zambaldi, D Raposo, A Santoro, V Bapst, Y Li, I Babuschkin, K Tuyls, ... International conference on learning representations, 2018 | 440* | 2018 |
| Unsupervised learning of 3d structure from images D Jimenez Rezende, SM Eslami, S Mohamed, P Battaglia, M Jaderberg, ... Advances in neural information processing systems 29, 2016 | 434 | 2016 |
| Imagination-augmented agents for deep reinforcement learning S Racanière, T Weber, D Reichert, L Buesing, A Guez, ... Advances in neural information processing systems 30, 2017 | 425 | 2017 |
| Lagrangian neural networks M Cranmer, S Greydanus, S Hoyer, P Battaglia, D Spergel, S Ho arXiv preprint arXiv:2003.04630, 2020 | 398 | 2020 |
| Discovering symbolic models from deep learning with inductive biases M Cranmer, A Sanchez Gonzalez, P Battaglia, R Xu, K Cranmer, ... Advances in Neural Information Processing Systems 33, 17429-17442, 2020 | 390 | 2020 |
| Visual interaction networks: Learning a physics simulator from video N Watters, D Zoran, T Weber, P Battaglia, R Pascanu, A Tacchetti Advances in neural information processing systems 30, 2017 | 375 | 2017 |
| Advancing mathematics by guiding human intuition with AI A Davies, P Veličković, L Buesing, S Blackwell, D Zheng, N Tomašev, ... Nature 600 (7887), 70-74, 2021 | 302 | 2021 |
| Graph neural networks in particle physics J Shlomi, P Battaglia, JR Vlimant Machine Learning: Science and Technology 2 (2), 021001, 2020 | 246 | 2020 |
| Hyperbolic attention networks C Gulcehre, M Denil, M Malinowski, A Razavi, R Pascanu, KM Hermann, ... arXiv preprint arXiv:1805.09786, 2018 | 240 | 2018 |
| Imagination-augmented agents for deep reinforcement learning T Weber, S Racaniere, DP Reichert, L Buesing, A Guez, DJ Rezende, ... arXiv preprint arXiv:1707.06203, 2017 | 230 | 2017 |
| Mind games: Game engines as an architecture for intuitive physics TD Ullman, E Spelke, P Battaglia, JB Tenenbaum Trends in cognitive sciences 21 (9), 649-665, 2017 | 217 | 2017 |
Razvan PascanuResearch Scientist at Google DeepMindEmail verificata su google.com
