| Learning to navigate in complex environments P Mirowski, R Pascanu, F Viola, H Soyer, AJ Ballard, A Banino, M Denil, ... arXiv preprint arXiv:1611.03673, 2016 | 1017 | 2016 |
| Vector-based navigation using grid-like representations in artificial agents A Banino, C Barry, B Uria, C Blundell, T Lillicrap, P Mirowski, A Pritzel, ... Nature 557 (7705), 429-433, 2018 | 763 | 2018 |
| Big-loop recurrence within the hippocampal system supports integration of information across episodes R Koster, MJ Chadwick, Y Chen, D Berron, A Banino, E Düzel, ... Neuron 99 (6), 1342-1354. e6, 2018 | 153 | 2018 |
| Computations underlying social hierarchy learning: distinct neural mechanisms for updating and representing self-relevant information D Kumaran, A Banino, C Blundell, D Hassabis, P Dayan Neuron 92 (5), 1135-1147, 2016 | 147 | 2016 |
| The CLRS algorithmic reasoning benchmark P Veličković, AP Badia, D Budden, R Pascanu, A Banino, M Dashevskiy, ... International Conference on Machine Learning, 22084-22102, 2022 | 96 | 2022 |
| Pondernet: Learning to ponder A Banino, J Balaguer, C Blundell arXiv preprint arXiv:2107.05407, 2021 | 94 | 2021 |
| Semantic exploration from language abstractions and pretrained representations A Tam, N Rabinowitz, A Lampinen, NA Roy, S Chan, DJ Strouse, J Wang, ... Advances in neural information processing systems 35, 25377-25389, 2022 | 65 | 2022 |
| Retrieval-based model accounts for striking profile of episodic memory and generalization A Banino, R Koster, D Hassabis, D Kumaran Scientific Reports 6 (1), 31330, 2016 | 53 | 2016 |
| Retrieval-augmented reinforcement learning A Goyal, A Friesen, A Banino, T Weber, NR Ke, AP Badia, A Guez, ... International Conference on Machine Learning, 7740-7765, 2022 | 51 | 2022 |
| Towards mental time travel: a hierarchical memory for reinforcement learning agents A Lampinen, S Chan, A Banino, F Hill Advances in Neural Information Processing Systems 34, 28182-28195, 2021 | 49 | 2021 |
| Coberl: Contrastive bert for reinforcement learning A Banino, AP Badia, J Walker, T Scholtes, J Mitrovic, C Blundell arXiv preprint arXiv:2107.05431, 2021 | 42 | 2021 |
| Memo: A deep network for flexible combination of episodic memories A Banino, AP Badia, R Köster, MJ Chadwick, V Zambaldi, D Hassabis, ... arXiv preprint arXiv:2001.10913, 2020 | 38 | 2020 |
| The spatial memory pipeline: a model of egocentric to allocentric understanding in mammalian brains B Uria, B Ibarz, A Banino, V Zambaldi, D Kumaran, D Hassabis, C Barry, ... BioRxiv, 2020.11. 11.378141, 2020 | 37 | 2020 |
| Computations underlying social hierarchy learning: Distinct mechanisms for updating and representing self-relevant information D Kumaran, A Banino, C Blundell, D Hassabis, P Dayan Neuron 76, 653-66, 2016 | 36 | 2016 |
| Interpreting wide-band neural activity using convolutional neural networks M Frey, S Tanni, C Perrodin, A O'Leary, M Nau, J Kelly, A Banino, ... Elife 10, e66551, 2021 | 20 | 2021 |
| Learning to navigate in complex environments. arXiv 2016 P Mirowski, R Pascanu, F Viola, H Soyer, AJ Ballard, A Banino, M Denil, ... arXiv preprint arXiv:1611.03673, 2016 | 20 | 2016 |
| Performing navigation tasks using grid codes A Banino, S Kumaran, RT Hadsell, UM Benigno US Patent 10,605,608, 2020 | 11 | 2020 |
| Transformers need glasses! Information over-squashing in language tasks F Barbero, A Banino, S Kapturowski, D Kumaran, JGM Araújo, A Vitvitskyi, ... arXiv preprint arXiv:2406.04267, 2024 | 10 | 2024 |
| Environment navigation using reinforcement learning F Viola, PW Mirowski, A Banino, R Pascanu, HJ Soyer, AJ Ballard, ... US Patent 10,572,776, 2020 | 8 | 2020 |
| Deepinsight: a general framework for interpreting wide-band neural activity M Frey, S Tanni, C Perrodin, A O’Leary, M Nau, J Kelly, A Banino, ... bioRxiv, 871848, 2019 | 7 | 2019 |
