Charles Blundell
Charles Blundell
Research Scientist at DeepMind
Verified email at google.com
TitleCited byYear
Matching networks for one shot learning
O Vinyals, C Blundell, T Lillicrap, D Wierstra
Advances in neural information processing systems, 3630-3638, 2016
10292016
Weight uncertainty in neural networks
C Blundell, J Cornebise, K Kavukcuoglu, D Wierstra
arXiv preprint arXiv:1505.05424, 2015
6722015
Simple and scalable predictive uncertainty estimation using deep ensembles
B Lakshminarayanan, A Pritzel, C Blundell
Advances in Neural Information Processing Systems, 6402-6413, 2017
4442017
Deep exploration via bootstrapped DQN
I Osband, C Blundell, A Pritzel, B Van Roy
Advances in neural information processing systems, 4026-4034, 2016
3662016
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
2302017
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
2282016
Noisy networks for exploration
M Fortunato, MG Azar, B Piot, J Menick, I Osband, A Graves, V Mnih, ...
arXiv preprint arXiv:1706.10295, 2017
1932017
Deep AutoRegressive Networks
K Gregor, I Danihelka, A Mnih, C Blundell, D Wierstra
Proceedings of the 31st International Conference on Machine Learning (ICML …, 2014
1662014
Modelling reciprocating relationships with Hawkes processes
C Blundell, J Beck, KA Heller
Advances in Neural Information Processing Systems, 2600-2608, 2012
1582012
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
1512018
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
1102017
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
1082017
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
892016
Bayesian rose trees
C Blundell, YW Teh, KA Heller
Uncertainty in Artificial Intelligence, 2010
742010
Bayesian recurrent neural networks
M Fortunato, C Blundell, O Vinyals
arXiv preprint arXiv:1704.02798, 2017
722017
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
472016
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
372015
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
362016
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