Arnaud Doucet

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Christophe AndrieuProfessor of Statistics, University of BristolVerificeret mail på bristol.ac.uk
Nando de FreitasCIFAR & DeepMindVerificeret mail på google.com
Sumeetpal Sidhu SinghTibra Foundation Chair in Mathematical Sciences, School of Mathematics, University of WollongongVerificeret mail på uow.edu.au
Pierre Del MoralResearch Director, INRIA Bordeaux - Sud OuestVerificeret mail på inria.fr
Adam M. JohansenUniversity of WarwickVerificeret mail på warwick.ac.uk
George DeligiannidisProfessor of Statistics, University of OxfordVerificeret mail på stats.ox.ac.uk
Simon GodsillUniversity of CambridgeVerificeret mail på eng.cam.ac.uk
Ajay JasraProfessor of Data Science, The Chinese University of Hong Kong, ShenzhenVerificeret mail på cuhk.edu.cn
Valentin De BortoliGoogle DeepMind, LondonVerificeret mail på google.com
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindVerificeret mail på stats.ox.ac.uk
Ba-Ngu VoCurtin UniversityVerificeret mail på curtin.edu.au
Chris HolmesVerificeret mail på stats.ox.ac.uk
Neil GordonDefence Science and Technology GroupVerificeret mail på ieee.org
François CaronUniversity of OxfordVerificeret mail på stats.ox.ac.uk
Soufiane HayouSimons Institute for the Theory of Computing, UC Berkeley | PhD @ University of OxfordVerificeret mail på berkeley.edu
Kevin MurphyResearch Scientist, GoogleVerificeret mail på google.com
Emilien DupontResearch Scientist, DeepMindVerificeret mail på stats.ox.ac.uk
Mike WestDuke UniversityVerificeret mail på nc.rr.com
Anthony LeeSchool of Mathematics, University of BristolVerificeret mail på bristol.ac.uk
James ThorntonApple | University of OxfordVerificeret mail på apple.com

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Arnaud Doucet

Google DeepMind

Verificeret mail på google.com - Startside

Computational Statistics Machine Learning Monte Carlo methods


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
Sequential Monte Carlo Methods in Practice A Doucet, N De Freitas, N Gordon Sequential monte carlo methods in practice, 2001	10612	2001
On sequential Monte Carlo sampling methods for Bayesian filtering A Doucet, S Godsill, C Andrieu Statistics and computing 10, 197-208, 2000	6598	2000
An introduction to MCMC for machine learning C Andrieu, N De Freitas, A Doucet, MI Jordan Machine learning 50, 5-43, 2003	3639	2003
A tutorial on particle filtering and smoothing: Fifteen years later A Doucet, AM Johansen Oxford Handbook of Nonlinear Filtering 12 (656-704), 3, 2011	2792	2011
Particle Markov chain Monte Carlo methods C Andrieu, A Doucet, R Holenstein Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2010	2666	2010
The unscented particle filter R Van Der Merwe, A Doucet, N De Freitas, EA Wan Advances in Neural Information Processing Systems, 2000	2638	2000
Sequential Monte Carlo samplers P Del Moral, A Doucet, A Jasra Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2006	2192	2006
Rao-Blackwellised particle filtering for dynamic Bayesian networks A Doucet, N De Freitas, K Murphy, S Russell UAI 2000, 2000	2102*	2000
An introduction to sequential Monte Carlo methods A Doucet, N De Freitas, N Gordon Sequential Monte Carlo methods in practice, 3-14, 2001	1698	2001
Sequential Monte Carlo methods for multitarget filtering with random finite sets BN Vo, S Singh, A Doucet IEEE Transactions on Aerospace and electronic systems 41 (4), 1224-1245, 2005	1660	2005
A survey of convergence results on particle filtering methods for practitioners D Crisan, A Doucet IEEE Transactions on signal processing 50 (3), 736-746, 2002	1358	2002
Particle filters for state estimation of jump Markov linear systems A Doucet, NJ Gordon, V Krishnamurthy IEEE Transactions on signal processing 49 (3), 613-624, 2001	1134	2001
On sequential simulation-based methods for Bayesian filtering A Doucet Technical Report CUED/F-INFENG/TR.310 Cambridge University, 1998	1063	1998
Fast computation of Wasserstein barycenters M Cuturi, A Doucet Proceedings of the 31st International Conference on Machine Learning, 685-693, 2014	856	2014
Monte Carlo smoothing for nonlinear time series SJ Godsill, A Doucet, M West Journal of the american statistical association, 2004	743	2004
Augmented neural ODEs E Dupont, A Doucet, Y Teh Advances in Neural Information Processing Systems 32 (NIPS 2019) 32 (2019), 2019	694	2019
An adaptive sequential Monte Carlo method for approximate Bayesian computation P Del Moral, A Doucet, A Jasra Statistics and computing 22, 1009-1020, 2012	617	2012
Maintaining multi-modality through mixture tracking J Vermaak, A Doucet, P Patrick International Conference on Computer Vision, 1110, 2003	562	2003
On particle methods for parameter estimation in state-space models N Kantas, A Doucet, SS Singh, JM Maciejowski, N Chopin Statistical Science 30 (3), 328--351, 2015	561	2015
Sequential Monte Carlo implementation of the PHD filter for multi-target tracking BN Vo, S Singh, A Doucet Proc. Int’l Conf. on Information Fusion, 792-799, 2003	467	2003

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