Nando de Freitas
Nando de Freitas
CIFAR & DeepMind
Vahvistettu sähköpostiosoite verkkotunnuksessa google.com - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Sequential Monte Carlo methods in practice
A Doucet, N De Freitas, N Gordon
Springer Verlag, 2001
10715*2001
An introduction to MCMC for machine learning
C Andrieu, N De Freitas, A Doucet, MI Jordan
Machine learning 50 (1), 5-43, 2003
29422003
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
23912015
The unscented particle filter
R Van Der Merwe, A Doucet, N De Freitas, E Wan
Advances in neural information processing systems 13, 584-590, 2000
23882000
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
2194*2002
Dueling network architectures for deep reinforcement learning
Z Wang, T Schaul, M Hessel, H Hasselt, M Lanctot, N Freitas
International conference on machine learning, 1995-2003, 2016
21932016
Matching words and pictures
K Barnard, P Duygulu, D Forsyth, N De Freitas, DM Blei, MI Jordan
Test accounts, 2003
20002003
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
19032010
Rao-Blackwellised particle filtering for dynamic Bayesian networks
A Doucet, N De Freitas, K Murphy, S Russell
arXiv preprint arXiv:1301.3853, 2013
15732013
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
14622004
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
13392016
Predicting parameters in deep learning
M Denil, B Shakibi, L Dinh, MA Ranzato, N De Freitas
arXiv preprint arXiv:1306.0543, 2013
11022013
Learning to communicate with deep multi-agent reinforcement learning
JN Foerster, YM Assael, N De Freitas, S Whiteson
arXiv preprint arXiv:1605.06676, 2016
8882016
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
5762016
Neural programmer-interpreters
S Reed, N De Freitas
arXiv preprint arXiv:1511.06279, 2015
3992015
A statistical model for general contextual object recognition
P Carbonetto, N De Freitas, K Barnard
European conference on computer vision, 350-362, 2004
3542004
Deep fried convnets
Z Yang, M Moczulski, M Denil, N De Freitas, A Smola, L Song, Z Wang
Proceedings of the IEEE International Conference on Computer Vision, 1476-1483, 2015
2932015
Rao-Blackwellised particle filtering for dynamic Bayesian networks
K Murphy, S Russell
Sequential Monte Carlo methods in practice, 499-515, 2001
2852001
Rao-Blackwellised particle filtering for fault diagnosis
N De Freitas
Proceedings, IEEE Aerospace Conference 4, 4-4, 2002
2732002
Bayesian optimization in high dimensions via random embeddings
Z Wang, M Zoghi, F Hutter, D Matheson, N De Freitas
Twenty-Third international joint conference on artificial intelligence, 2013
2712013
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Artikkelit 1–20