| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 11157 | 2023 |
| Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities G Comanici, E Bieber, M Schaekermann, I Pasupat, N Sachdeva, I Dhillon, ... arXiv preprint arXiv:2507.06261, 2025 | 5283 | 2025 |
| 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 | 4822 | 2024 |
| Modelling the N400 brain potential as change in a probabilistic representation of meaning M Rabovsky, SS Hansen, JL McClelland Nature human behaviour 2 (9), 693-705, 2018 | 363 | 2018 |
| In-context reinforcement learning with algorithm distillation M Laskin, L Wang, J Oh, E Parisotto, S Spencer, R Steigerwald, ... arXiv preprint arXiv:2210.14215, 2022 | 300 | 2022 |
| Fast task inference with variational intrinsic successor features S Hansen, W Dabney, A Barreto, T Van de Wiele, D Warde-Farley, V Mnih arXiv preprint arXiv:1906.05030, 2019 | 251 | 2019 |
| Unsupervised control through non-parametric discriminative rewards D Warde-Farley, T Van de Wiele, T Kulkarni, C Ionescu, S Hansen, ... arXiv preprint arXiv:1811.11359, 2018 | 240 | 2018 |
| 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 | 100 | 2019 |
| Learning more skills through optimistic exploration DJ Strouse, K Baumli, D Warde-Farley, V Mnih, S Hansen arXiv preprint arXiv:2107.14226, 2021 | 74 | 2021 |
| Relative variational intrinsic control K Baumli, D Warde-Farley, S Hansen, V Mnih Proceedings of the AAAI conference on artificial intelligence 35 (8), 6732-6740, 2021 | 67 | 2021 |
| Gemini robotics 1.5: Pushing the frontier of generalist robots with advanced embodied reasoning, thinking, and motion transfer GR Team, A Abdolmaleki, S Abeyruwan, J Ainslie, JB Alayrac, MG Arenas, ... arXiv preprint arXiv:2510.03342, 2025 | 65 | 2025 |
| Fast deep reinforcement learning using online adjustments from the past S Hansen, A Pritzel, P Sprechmann, A Barreto, C Blundell Advances in Neural Information Processing Systems 31, 2018 | 60 | 2018 |
| Beyond fine-tuning: Transferring behavior in reinforcement learning V Campos, P Sprechmann, S Hansen, A Barreto, S Kapturowski, ... arXiv preprint arXiv:2102.13515, 2021 | 40 | 2021 |
| Gemini robotics 1.5: Pushing the frontier of generalist robots with advanced embodied reasoning, thinking, and motion transfer A Abdolmaleki, S Abeyruwan, J Ainslie, JB Alayrac, M Gonzalez Arenas, ... arXiv e-prints, arXiv: 2510.03342, 2025 | 38 | 2025 |
| Modelling the N400 brain potential as change in a probabilistic representation of meaning. Nature Human Behaviour, 2 (9), 693–705 M Rabovsky, SS Hansen, JL McClelland | 27 | 2018 |
| A parallel-distributed processing approach to mathematical cognition JL McClelland, K Mickey, S Hansen, A Yuan, Q Lu Manuscript, Stanford University, 263, 2016 | 17 | 2016 |
| Plasticity as the mirror of empowerment D Abel, M Bowling, A Barreto, W Dabney, S Dong, S Hansen, ... Advances in Neural Information Processing Systems 38, 164340-164374, 2026 | 15 | 2026 |
| Agency is frame-dependent D Abel, A Barreto, M Bowling, W Dabney, S Dong, S Hansen, ... arXiv preprint arXiv:2502.04403, 2025 | 13 | 2025 |
| N400 amplitudes reflect change in a probabilistic representation of meaning: Evidence from a connectionist model M Rabovsky, S Hansen, JL Hansen Proceedings of the Annual Meeting of the Cognitive Science Society 38, 2016 | 13 | 2016 |
| Expressing non-Markov reward to a Markov agent D Abel, A Barreto, M Bowling, W Dabney, S Hansen, A Harutyunyan, ... Multidisciplinary Conference on Reinforcement Learning and Decision Making 9 …, 2022 | 12 | 2022 |
Volodymyr MnihDeepMindVerified email at cs.toronto.edu
