| Pointer networks O Vinyals, M Fortunato, N Jaitly Advances in neural information processing systems 28, 2015 | 3971 | 2015 |
| Noisy networks for exploration M Fortunato, MG Azar, B Piot, J Menick, I Osband, A Graves, V Mnih, ... arXiv preprint arXiv:1706.10295, 2017 | 1211 | 2017 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 1180 | 2024 |
| Learning mesh-based simulation with graph networks T Pfaff, M Fortunato, A Sanchez-Gonzalez, P Battaglia International conference on learning representations, 2020 | 982 | 2020 |
| Learning skillful medium-range global weather forecasting R Lam, A Sanchez-Gonzalez, M Willson, P Wirnsberger, M Fortunato, ... Science 382 (6677), 1416-1421, 2023 | 921 | 2023 |
| Pushing the frontiers of density functionals by solving the fractional electron problem J Kirkpatrick, B McMorrow, DHP Turban, AL Gaunt, JS Spencer, ... Science 374 (6573), 1385-1389, 2021 | 350 | 2021 |
| Bayesian recurrent neural networks M Fortunato, C Blundell, O Vinyals arXiv preprint arXiv:1704.02798, 2017 | 280 | 2017 |
| High-order unstructured curved mesh generation using the Winslow equations M Fortunato, PO Persson Journal of Computational Physics 307, 1-14, 2016 | 110 | 2016 |
| Multiscale meshgraphnets M Fortunato, T Pfaff, P Wirnsberger, A Pritzel, P Battaglia arXiv preprint arXiv:2210.00612, 2022 | 104 | 2022 |
| Generalization of reinforcement learners with working and episodic memory M Fortunato, M Tan, R Faulkner, S Hansen, A Puigdomènech Badia, ... Advances in neural information processing systems 32, 2019 | 81 | 2019 |
| Pointer networks V Oriol, F Meire, J Navdeep, C Cortes, ND Lawrence, DD Lee, ... Advances in neural information processing systems 28, 2692-2700, 2015 | 60 | 2015 |
| Interval timing in deep reinforcement learning agents B Deverett, R Faulkner, M Fortunato, G Wayne, JZ Leibo Advances in Neural Information Processing Systems 32, 2019 | 19 | 2019 |
| Training neural networks using posterior sharpening M Fortunato, C Blundell, O Vinyals US Patent 10,824,946, 2020 | 10 | 2020 |
| Noisy neural network layers O Pietquin, JL Menick, MG Azar, B Piot, V Mnih, C Blundell, M Fortunato, ... US Patent App. 16/439,026, 2019 | 8 | 2019 |
| Response to Comment on “Pushing the frontiers of density functionals by solving the fractional electron problem” J Kirkpatrick, B McMorrow, DHP Turban, AL Gaunt, JS Spencer, ... Science 377 (6606), eabq4282, 2022 | 3 | 2022 |
| Curved and anisotropic unstructured mesh generation and adaptivity using the Winslow equations M Fortunato UC Berkeley, 2016 | 1 | 2016 |
| Noisy neural network layers with noise parameters MG Azar, M Fortunato, B Piot, OC Pietquin, JL Menick, V Mnih, C Blundell, ... US Patent 11,977,983, 2024 | | 2024 |
| Training neural networks using posterior sharpening M Fortunato, C Blundell, O Vinyals US Patent 11,836,630, 2023 | | 2023 |
| Simulating physical environments using graph neural networks A Sanchez, JW Godwin, R Ying, T Pfaff, M Fortunato, PW Battaglia US Patent App. 18/027,174, 2023 | | 2023 |
| Noisy neural network layers with noise parameters MG Azar, M Fortunato, B Piot, OC Pietquin, JL Menick, V Mnih, C Blundell, ... US Patent 10,839,293, 2020 | | 2020 |
