עקוב אחר
Nando de Freitas
Nando de Freitas
CIFAR & DeepMind
כתובת אימייל מאומתת בדומיין google.com - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Sequential Monte Carlo methods in practice‏
A Doucet, N De Freitas, N Gordon‏
Springer Verlag, 2001‏
11931*2001
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
60652015
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
55522016
An introduction to MCMC for machine learning‏
C Andrieu, N De Freitas, A Doucet, MI Jordan‏
Machine learning 50, 5-43, 2003‏
37022003
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
35862010
The unscented particle filter‏
R Van Der Merwe, A Doucet, N De Freitas, E Wan‏
Advances in neural information processing systems 13, 2000‏
25702000
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
25002016
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
2341*2002
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
22072016
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
21212003
Rao-Blackwellised particle filtering for dynamic Bayesian networks‏
K Murphy, S Russell‏
Sequential Monte Carlo methods in practice, 499-515, 2001‏
21082001
Predicting parameters in deep learning‏
M Denil, B Shakibi, L Dinh, MA Ranzato, N De Freitas‏
Advances in neural information processing systems 26, 2013‏
16972013
A boosted particle filter: Multitarget detection and tracking‏
K Okuma, A Taleghani, N De Freitas, JJ Little, DG Lowe‏
Computer Vision-ECCV 2004: 8th European Conference on Computer Vision …, 2004‏
15752004
Competition-level code generation with alphacode‏
Y Li, D Choi, J Chung, N Kushman, J Schrittwieser, R Leblond, T Eccles, ...‏
Science 378 (6624), 1092-1097, 2022‏
11282022
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
10642016
A generalist agent‏
S Reed, K Zolna, E Parisotto, SG Colmenarejo, A Novikov, G Barth-Maron, ...‏
arXiv preprint arXiv:2205.06175, 2022‏
10052022
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
8992016
Social influence as intrinsic motivation for multi-agent deep reinforcement learning‏
N Jaques, A Lazaridou, E Hughes, C Gulcehre, P Ortega, DJ Strouse, ...‏
International conference on machine learning, 3040-3049, 2019‏
5682019
Neural programmer-interpreters‏
S Reed, N De Freitas‏
arXiv preprint arXiv:1511.06279, 2015‏
5482015
Lipnet: End-to-end sentence-level lipreading‏
YM Assael, B Shillingford, S Whiteson, N De Freitas‏
arXiv preprint arXiv:1611.01599, 2016‏
5032016
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מאמרים 1–20