Nando de Freitas
Nando de Freitas
CIFAR & DeepMind
Verified email at - Homepage
TitleCited byYear
Sequential Monte Carlo methods in practice
A Doucet, N De Freitas, N Gordon
Springer Verlag, 2001
An introduction to MCMC for machine learning
C Andrieu, N De Freitas, A Doucet, MI Jordan
Machine learning 50 (1-2), 5-43, 2003
The unscented particle filter
R Van Der Merwe, A Doucet, N De Freitas, EA Wan
Advances in neural information processing systems, 584-590, 2001
Object recognition as machine translation: learning a lexicon for a fixed image vocabulary Leture Noyes in Computer Science
P Duygulu, K Barnard, JFG de Freitas
Heidelberg: Springer 23 (53), 97-112, 2002
Matching words and pictures
K Barnard, P Duygulu, D Forsyth, N Freitas, DM Blei, MI Jordan
Journal of machine learning research 3 (Feb), 1107-1135, 2003
Rao-Blackwellised particle filtering for dynamic Bayesian networks
A Doucet, N De Freitas, K Murphy, S Russell
Proceedings of the Sixteenth conference on Uncertainty in artificial …, 2000
A boosted particle filter: Multitarget detection and tracking
K Okuma, A Taleghani, N De Freitas, JJ Little, DG Lowe
European conference on computer vision, 28-39, 2004
A tutorial on Bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning
E Brochu, VM Cora, N De Freitas
arXiv preprint arXiv:1012.2599, 2010
Taking the human out of the loop: A review of Bayesian optimization
B Shahriari, K Swersky, Z Wang, RP Adams, N De Freitas
Proceedings of the IEEE 104 (1), 148-175, 2015
Dueling network architectures for deep reinforcement learning
Z Wang, T Schaul, M Hessel, H Van Hasselt, M Lanctot, N De Freitas
arXiv preprint arXiv:1511.06581, 2015
Predicting parameters in deep learning
M Denil, B Shakibi, L Dinh, MA Ranzato, N De Freitas
Advances in neural information processing systems, 2148-2156, 2013
Learning to learn by gradient descent by gradient descent
M Andrychowicz, M Denil, S Gomez, MW Hoffman, D Pfau, T Schaul, ...
Advances in neural information processing systems, 3981-3989, 2016
A statistical model for general contextual object recognition
P Carbonetto, N De Freitas, K Barnard
European conference on computer vision, 350-362, 2004
Learning to communicate with deep multi-agent reinforcement learning
J Foerster, IA Assael, N de Freitas, S Whiteson
Advances in Neural Information Processing Systems, 2137-2145, 2016
Rao-Blackwellised particle filtering for fault diagnosis
N De Freitas
Proceedings, IEEE Aerospace Conference 4, 4-4, 2002
Neural programmer-interpreters
S Reed, N De Freitas
arXiv preprint arXiv:1511.06279, 2015
Sequential Monte Carlo methods to train neural network models
JFG Freitas, M Niranjan, AH Gee, A Doucet
Neural computation 12 (4), 955-993, 2000
Robust visual tracking for multiple targets
Y Cai, N de Freitas, JJ Little
European conference on computer vision, 107-118, 2006
Sample efficient actor-critic with experience replay
Z Wang, V Bapst, N Heess, V Mnih, R Munos, K Kavukcuoglu, ...
arXiv preprint arXiv:1611.01224, 2016
Evidence for the existence of adaptive thermogenesis during weight loss
E Doucet, S St-Pierre, N Alméras, JP Després, C Bouchard, A Tremblay
British Journal of Nutrition 85 (6), 715-723, 2001
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