Seuraa
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
10970*2001
An introduction to MCMC for machine learning
C Andrieu, N De Freitas, A Doucet, MI Jordan
Machine learning 50 (1), 5-43, 2003
31102003
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
31052015
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
29152016
The unscented particle filter
R Van Der Merwe, A Doucet, N De Freitas, E Wan
Advances in neural information processing systems 13, 2000
24212000
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
23302010
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
2217*2002
Matching words and pictures
K Barnard, P Duygulu, D Forsyth, N De Freitas, DM Blei, MI Jordan
The Journal of Machine Learning Research 3, 1107-1135, 2003
20212003
Rao-Blackwellised particle filtering for dynamic Bayesian networks
K Murphy, S Russell
Sequential Monte Carlo methods in practice, 499-515, 2001
18892001
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 29, 2016
15912016
A boosted particle filter: Multitarget detection and tracking
K Okuma, A Taleghani, N Freitas, JJ Little, DG Lowe
European conference on computer vision, 28-39, 2004
15202004
Predicting parameters in deep learning
M Denil, B Shakibi, L Dinh, MA Ranzato, N De Freitas
Advances in neural information processing systems 26, 2013
12382013
Learning to communicate with deep multi-agent reinforcement learning
J Foerster, IA Assael, N De Freitas, S Whiteson
Advances in neural information processing systems 29, 2016
11472016
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
7212016
Neural programmer-interpreters
S Reed, N De Freitas
arXiv preprint arXiv:1511.06279, 2015
4542015
A statistical model for general contextual object recognition
P Carbonetto, N Freitas, K Barnard
European conference on computer vision, 350-362, 2004
3632004
Bayesian optimization in a billion dimensions via random embeddings
Z Wang, F Hutter, M Zoghi, D Matheson, N De Feitas
Journal of Artificial Intelligence Research 55, 361-387, 2016
3262016
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
3152015
Bayesian Optimization in High Dimensions via Random Embeddings.
Z Wang, M Zoghi, F Hutter, D Matheson, N De Freitas
IJCAI, 1778-1784, 2013
3072013
From group to individual labels using deep features
D Kotzias, M Denil, N De Freitas, P Smyth
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
2882015
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Artikkelit 1–20