| 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 | 348 | 2018 |
| Neural autoregressive distribution estimation B Uria, MA Côté, K Gregor, I Murray, H Larochelle Journal of Machine Learning Research 17 (205), 1-37, 2016 | 208 | 2016 |
| Neural episodic control A Pritzel, B Uria, S Srinivasan, AP Badia, O Vinyals, D Hassabis, ... International Conference on Machine Learning, 2827-2836, 2017 | 193 | 2017 |
| RNADE: The real-valued neural autoregressive density-estimator B Uria, I Murray, H Larochelle arXiv preprint arXiv:1306.0186, 2013 | 175 | 2013 |
| Model-free episodic control C Blundell, B Uria, A Pritzel, Y Li, A Ruderman, JZ Leibo, J Rae, ... arXiv preprint arXiv:1606.04460, 2016 | 152 | 2016 |
| A deep and tractable density estimator B Uria, I Murray, H Larochelle Proceedings of the 31th International Conference on Machine Learning, ICML …, 2013 | 134 | 2013 |
| 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 | 132 | 2016 |
| Associative long short-term memory I Danihelka, G Wayne, B Uria, N Kalchbrenner, A Graves International Conference on Machine Learning, 1986-1994, 2016 | 125 | 2016 |
| Deep architectures for articulatory inversion B Uria, I Murray, S Renals, K Richmond Thirteenth Annual Conference of the International Speech Communication …, 2012 | 66 | 2012 |
| Comparison of maximum likelihood and gan-based training of real nvps I Danihelka, B Lakshminarayanan, B Uria, D Wierstra, P Dayan arXiv preprint arXiv:1705.05263, 2017 | 57 | 2017 |
| Memory-based parameter adaptation P Sprechmann, SM Jayakumar, JW Rae, A Pritzel, AP Badia, B Uria, ... arXiv preprint arXiv:1802.10542, 2018 | 56 | 2018 |
| A deep neural network for acoustic-articulatory speech inversion B Uria, S Renals, K Richmond NIPS 2011 Workshop on Deep Learning and Unsupervised Feature Learning, 1-9, 2011 | 56 | 2011 |
| Episodic memory in lifelong language learning CM d'Autume, S Ruder, L Kong, D Yogatama arXiv preprint arXiv:1906.01076, 2019 | 41 | 2019 |
| Modelling acoustic feature dependencies with artificial neural networks: Trajectory-RNADE B Uria, I Murray, S Renals, C Valentini, J Bridle Proceedings of the IEEE International Conference on Acoustics, Speech, and …, 2015 | 34 | 2015 |
| Model-free episodic control. arXiv preprint 1606.04460 C Blundell, B Uria, A Pritzel, Y Li, A Ruderman, JZ Leibo, J Rae, ... | 29 | 2016 |
| On the evaluation of inversion mapping performance in the acoustic domain K Richmond, Z Ling, J Yamagishi | 6 | 2013 |
| Connectionist multivariate density-estimation and its application to speech synthesis B Uria The University of Edinburgh, 2015 | 3 | 2015 |
| 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 | 2 | 2020 |
| Vector-based Navigation using Grid-like Representations in Artificial Agents. A Pritzel, A Banino, B Uria, BC Zhang, C Barry, C Blundell, C Beattie, ... | | 2018 |
Iain MurraySchool of Informatics, University of EdinburghVerified email at ed.ac.uk
