עקוב אחר
Charles Blundell
Charles Blundell
Research Scientist at DeepMind
כתובת אימייל מאומתת בדומיין google.com - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Matching networks for one shot learning‏
O Vinyals, C Blundell, T Lillicrap, D Wierstra‏
Advances in neural information processing systems 29, 2016‏
87152016
Simple and scalable predictive uncertainty estimation using deep ensembles‏
B Lakshminarayanan, A Pritzel, C Blundell‏
Advances in neural information processing systems 30, 2017‏
65492017
Weight uncertainty in neural network‏
C Blundell, J Cornebise, K Kavukcuoglu, D Wierstra‏
International conference on machine learning, 1613-1622, 2015‏
43352015
Deep exploration via bootstrapped DQN‏
I Osband, C Blundell, A Pritzel, B Van Roy‏
Advances in neural information processing systems 29, 2016‏
15622016
Learning to reinforcement learn‏
JX Wang, Z Kurth-Nelson, D Tirumala, H Soyer, JZ Leibo, R Munos, ...‏
arXiv preprint arXiv:1611.05763, 2016‏
11022016
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
10142017
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
7742018
Reinforcement learning, fast and slow‏
M Botvinick, S Ritter, JX Wang, Z Kurth-Nelson, C Blundell, D Hassabis‏
Trends in cognitive sciences 23 (5), 408-422, 2019‏
7622019
Agent57: Outperforming the atari human benchmark‏
AP Badia, B Piot, S Kapturowski, P Sprechmann, A Vitvitskyi, ZD Guo, ...‏
International conference on machine learning, 507-517, 2020‏
6992020
Darla: Improving zero-shot transfer in reinforcement learning‏
I Higgins, A Pal, A Rusu, L Matthey, C Burgess, A Pritzel, M Botvinick, ...‏
International Conference on Machine Learning, 1480-1490, 2017‏
5272017
Advancing mathematics by guiding human intuition with AI‏
A Davies, P Veličković, L Buesing, S Blackwell, D Zheng, N Tomašev, ...‏
Nature 600 (7887), 70-74, 2021‏
5102021
Neural episodic control‏
A Pritzel, B Uria, S Srinivasan, AP Badia, O Vinyals, D Hassabis, ...‏
International conference on machine learning, 2827-2836, 2017‏
4312017
Never give up: Learning directed exploration strategies‏
AP Badia, P Sprechmann, A Vitvitskyi, D Guo, B Piot, S Kapturowski, ...‏
arXiv preprint arXiv:2002.06038, 2020‏
3612020
Deep AutoRegressive Networks‏
K Gregor, I Danihelka, A Mnih, C Blundell, D Wierstra‏
Proceedings of the 31st International Conference on Machine Learning (ICML …, 2014‏
3602014
Model-free episodic control‏
C Blundell, B Uria, A Pritzel, Y Li, A Ruderman, JZ Leibo, J Rae, ...‏
arXiv preprint arXiv:1606.04460, 2016‏
3072016
Bayesian recurrent neural networks‏
M Fortunato, C Blundell, O Vinyals‏
arXiv preprint arXiv:1704.02798, 2017‏
2722017
Representation learning via invariant causal mechanisms‏
J Mitrovic, B McWilliams, J Walker, L Buesing, C Blundell‏
arXiv preprint arXiv:2010.07922, 2020‏
2692020
Modelling reciprocating relationships with Hawkes processes‏
C Blundell, J Beck, KA Heller‏
Advances in neural information processing systems 25, 2012‏
2502012
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
2032016
Neural execution of graph algorithms‏
P Veličković, R Ying, M Padovano, R Hadsell, C Blundell‏
arXiv preprint arXiv:1910.10593, 2019‏
1912019
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מאמרים 1–20