| 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 | 3410 | 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, 4967-4976, 2017 | 1810 | 2017 |
| A category-free neural population supports evolving demands during decision-making D Raposo, MT Kaufman, AK Churchland Nature neuroscience 17 (12), 1784-1792, 2014 | 476 | 2014 |
| Deep reinforcement learning with relational inductive biases V Zambaldi, D Raposo, A Santoro, V Bapst, Y Li, I Babuschkin, K Tuyls, ... | 466* | 2018 |
| Relational recurrent neural networks A Santoro, R Faulkner, D Raposo, J Rae, M Chrzanowski, T Weber, ... Advances in Neural Information Processing Systems, 7299-7310, 2018 | 257 | 2018 |
| Hyperbolic Attention Networks C Gulcehre, M Denil, M Malinowski, A Razavi, R Pascanu, KM Hermann, ... arXiv preprint arXiv:1805.09786, 2018 | 250 | 2018 |
| Multisensory decision-making in rats and humans D Raposo, JP Sheppard, PR Schrater, AK Churchland Journal of neuroscience 32 (11), 3726-3735, 2012 | 229 | 2012 |
| Posterior parietal cortex guides visual decisions in rats AM Licata, MT Kaufman, D Raposo, MB Ryan, JP Sheppard, ... Journal of Neuroscience 37 (19), 4954-4966, 2017 | 161 | 2017 |
| Discovering objects and their relations from entangled scene representations D Raposo, A Santoro, D Barrett, R Pascanu, T Lillicrap, P Battaglia arXiv preprint arXiv:1702.05068, 2017 | 124 | 2017 |
| Causal Reasoning from Meta-reinforcement Learning I Dasgupta, J Wang, S Chiappa, J Mitrovic, P Ortega, D Raposo, ... arXiv preprint arXiv:1901.08162, 2019 | 121 | 2019 |
| An investigation of model-free planning A Guez, M Mirza, K Gregor, R Kabra, S Racanière, T Weber, D Raposo, ... International Conference on Machine Learning, 2464-2473, 2019 | 88 | 2019 |
| Dynamic weighting of multisensory stimuli shapes decision-making in rats and humans JP Sheppard, D Raposo, AK Churchland Journal of vision 13 (6), 4-4, 2013 | 87 | 2013 |
| A data-driven approach for learning to control computers PC Humphreys, D Raposo, T Pohlen, G Thornton, R Chhaparia, A Muldal, ... International Conference on Machine Learning, 9466-9482, 2022 | 46 | 2022 |
| Symbolic Behaviour in Artificial Intelligence A Santoro, A Lampinen, K Mathewson, T Lillicrap, D Raposo arXiv preprint arXiv:2102.03406, 2021 | 42 | 2021 |
| Rapid Task-Solving in Novel Environments S Ritter, R Faulkner, L Sartran, A Santoro, M Botvinick, D Raposo arXiv preprint arXiv:2006.03662, 2020 | 27 | 2020 |
| Synthetic Returns for Long-Term Credit Assignment D Raposo, S Ritter, A Santoro, G Wayne, T Weber, M Botvinick, ... arXiv preprint arXiv:2102.12425, 2021 | 26 | 2021 |
| Neural networks with relational memory M Chrzanowski, JW Rae, R Faulkner, TG Weber, DN Raposo, AA Santoro US Patent 10,853,725, 2020 | 7 | 2020 |
| Is coding a relevant metaphor for building AI? A commentary on" Is coding a relevant metaphor for the brain?", by Romain Brette A Santoro, F Hill, D Barrett, D Raposo, M Botvinick, T Lillicrap arXiv preprint arXiv:1904.10396, 2019 | 6 | 2019 |
| Generating implicit plans for accomplishing goals in an environment using attention operations over planning embeddings S Ritter, R Faulkner, DN Raposo US Patent App. 17/794,780, 2023 | 1 | 2023 |
| Mixture-of-Depths: Dynamically allocating compute in transformer-based language models D Raposo, S Ritter, B Richards, T Lillicrap, PC Humphreys, A Santoro arXiv preprint arXiv:2404.02258, 2024 | | 2024 |
Adam SantoroGoogle DeepMindVerified email at google.com
