| Matching networks for one shot learning O Vinyals, C Blundell, T Lillicrap, D Wierstra Advances in neural information processing systems, 3630-3638, 2016 | 1029 | 2016 |
| Weight uncertainty in neural networks C Blundell, J Cornebise, K Kavukcuoglu, D Wierstra arXiv preprint arXiv:1505.05424, 2015 | 672 | 2015 |
| Simple and scalable predictive uncertainty estimation using deep ensembles B Lakshminarayanan, A Pritzel, C Blundell Advances in Neural Information Processing Systems, 6402-6413, 2017 | 444 | 2017 |
| Deep exploration via bootstrapped DQN I Osband, C Blundell, A Pritzel, B Van Roy Advances in neural information processing systems, 4026-4034, 2016 | 366 | 2016 |
| Pathnet: Evolution channels gradient descent in super neural networks C Fernando, D Banarse, C Blundell, Y Zwols, D Ha, AA Rusu, A Pritzel, ... arXiv preprint arXiv:1701.08734, 2017 | 230 | 2017 |
| Detecting Replicating Signals using Adaptive Filtering Procedures with the Application in High-throughput Experiments J Wang, W Su, C Sabatti, AB Owen arXiv preprint arXiv:1610.03330, 2016 | 228 | 2016 |
| Noisy networks for exploration M Fortunato, MG Azar, B Piot, J Menick, I Osband, A Graves, V Mnih, ... arXiv preprint arXiv:1706.10295, 2017 | 193 | 2017 |
| Deep AutoRegressive Networks K Gregor, I Danihelka, A Mnih, C Blundell, D Wierstra Proceedings of the 31st International Conference on Machine Learning (ICML …, 2014 | 166 | 2014 |
| Modelling reciprocating relationships with Hawkes processes C Blundell, J Beck, KA Heller Advances in Neural Information Processing Systems, 2600-2608, 2012 | 158 | 2012 |
| 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, 2018 | 151 | 2018 |
| Model-free episodic control C Blundell, B Uria, A Pritzel, Y Li, A Ruderman, JZ Leibo, J Rae, ... arXiv preprint arXiv:1606.04460, 2016 | 121* | 2016 |
| Darla: Improving zero-shot transfer in reinforcement learning I Higgins, A Pal, A Rusu, L Matthey, C Burgess, A Pritzel, M Botvinick, ... Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017 | 110 | 2017 |
| Neural episodic control A Pritzel, B Uria, S Srinivasan, AP Badia, O Vinyals, D Hassabis, ... Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017 | 108 | 2017 |
| Early visual concept learning with unsupervised deep learning I Higgins, L Matthey, X Glorot, A Pal, B Uria, C Blundell, S Mohamed, ... arXiv preprint arXiv:1606.05579, 2016 | 89 | 2016 |
| Bayesian rose trees C Blundell, YW Teh, KA Heller Uncertainty in Artificial Intelligence, 2010 | 74 | 2010 |
| Bayesian recurrent neural networks M Fortunato, C Blundell, O Vinyals arXiv preprint arXiv:1704.02798, 2017 | 72 | 2017 |
| 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 | 47 | 2016 |
| The bayesian echo chamber: Modeling social influence via linguistic accommodation F Guo, C Blundell, H Wallach, K Heller Artificial Intelligence and Statistics, 315-323, 2015 | 37 | 2015 |
| Distributed Bayesian learning with stochastic natural gradient expectation propagation and the posterior server L Hasenclever, S Webb, T Lienart, S Vollmer, B Lakshminarayanan, ... The Journal of Machine Learning Research 18 (1), 3744-3780, 2017 | 36* | 2017 |
| 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 |
Alexander PritzelDeepmindVerified email at google.com
