David Luengo 个人学术档案 - 学术资源搜索

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	总计	2019 年至今
引用	3416	2168
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Luca MartinoAssociate Professor在 urjc.es 的电子邮件经过验证
Víctor ElviraProfessor in Statistics and Data Science, University of Edinburgh在 ed.ac.uk 的电子邮件经过验证
Ignacio SantamariaProfessor, Electrical Engineering, University of Cantabria在 unican.es 的电子邮件经过验证
Neil D. LawrenceUniversity of Cambridge在 cl.cam.ac.uk 的电子邮件经过验证
Mauricio A. ÁlvarezUniversity of Manchester在 manchester.ac.uk 的电子邮件经过验证
Tom TriganoSenior Lecturer, SCE, Department of Electrical Engineering在 sce.ac.il 的电子邮件经过验证
Antonio Artés RodríguezProfessor, Dept. of Signal Theory and Communications, Universidad Carlos III de Madrid在 tsc.uc3m.es 的电子邮件经过验证
Jesse ReadÉcole Polytechnique在 polytechnique.edu 的电子邮件经过验证
Gustau Camps-VallsProfessor. Image Processing Lab (IPL). Universitat de València在 uv.es 的电子邮件经过验证
Elena Dominguez-JimenezUniversidad Politécnica de Madrid在 upm.es 的电子邮件经过验证
David Meltzer CaminoProfessor at Universidad Politécnica de Madrid在 upm.es 的电子邮件经过验证
Jesús Ibáñez DíazAssociate professor, Universidad de Cantabria在 unican.es 的电子邮件经过验证
Michalis TitsiasDeepMind在 google.com 的电子邮件经过验证
Jordi Muñoz-MaríProfessor. Electronic Engineering Department, University of Valencia在 uv.es 的电子邮件经过验证
Roberto CASARINCa' Foscari University of Venice在 unive.it 的电子邮件经过验证
Gonzalo R. Ríos MuñozAssistant Professor, Univ. Carlos III de Madrid; Instituto Investigación Sanitaria Gregorio Marañón在 ing.uc3m.es 的电子邮件经过验证
Javier VíaUniversidad de Cantabria在 gtas.dicom.unican.es 的电子邮件经过验证
Francisco LouzadaUniversidade de São Paulo在 icmc.usp.br 的电子邮件经过验证
Daniel Heestermans SvendsenDIS Copenhagen在 dis.dk 的电子邮件经过验证
Manuel Campos-TabernerUniversitat de València在 uv.es 的电子邮件经过验证

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David Luengo

Universidad Politécnica de Madrid (UPM)

在 upm.es 的电子邮件经过验证

Statistical Signal Processing Machine Learning Digital Communications Bayesian Inference Monte Carlo Methods


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Adaptive importance sampling: The past, the present, and the future MF Bugallo, V Elvira, L Martino, D Luengo, J Miguez, PM Djuric IEEE Signal Processing Magazine 34 (4), 60-79, 2017	258	2017
Latent force models M Alvarez, D Luengo, ND Lawrence Artificial intelligence and statistics, 9-16, 2009	234	2009
Generalized multiple importance sampling V Elvira, L Martino, D Luengo, MF Bugallo	187	2019
A survey of Monte Carlo methods for parameter estimation D Luengo, L Martino, M Bugallo, V Elvira, S Särkkä EURASIP Journal on Advances in Signal Processing 2020, 1-62, 2020	181	2020
Efficient multioutput Gaussian processes through variational inducing kernels M Álvarez, D Luengo, M Titsias, ND Lawrence Proceedings of the Thirteenth International Conference on Artificial …, 2010	153	2010
Efficient monte carlo methods for multi-dimensional learning with classifier chains J Read, L Martino, D Luengo Pattern Recognition 47 (3), 1535-1546, 2014	138	2014
Linear latent force models using Gaussian processes MA Álvarez, D Luengo, ND Lawrence IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 35 (11 …, 2013	137	2013
Layered adaptive importance sampling L Martino, V Elvira, D Luengo, J Corander Statistics and Computing 27, 599-623, 2017	135	2017
Independent doubly adaptive rejection Metropolis sampling within Gibbs sampling L Martino, J Read, D Luengo IEEE Transactions on Signal Processing 63 (12), 3123-3138, 2015	115	2015
Scalable multi-output label prediction: From classifier chains to classifier trellises J Read, L Martino, PM Olmos, D Luengo Pattern Recognition 48 (6), 2096-2109, 2015	108	2015
Improving population Monte Carlo: Alternative weighting and resampling schemes V Elvira, L Martino, D Luengo, MF Bugallo Signal Processing 131, 77-91, 2017	103	2017
Orthogonal parallel MCMC methods for sampling and optimization L Martino, V Elvira, D Luengo, J Corander, F Louzada Digital Signal Processing 58, 64-84, 2016	99	2016
Efficient multiple importance sampling estimators V Elvira, L Martino, D Luengo, MF Bugallo IEEE Signal Processing Letters 22 (10), 1757-1761, 2015	98	2015
An adaptive population importance sampler: Learning from uncertainty L Martino, V Elvira, D Luengo, J Corander IEEE Transactions on Signal Processing 63 (16), 4422-4437, 2015	97	2015
Independent random sampling methods L Martino, D Luengo, J Míguez Springer International Publishing, 2018	91	2018
Physics-aware Gaussian processes in remote sensing G Camps-Valls, L Martino, DH Svendsen, M Campos-Taberner, ... Applied Soft Computing 68, 69-82, 2018	87	2018
Feature extraction of galvanic skin responses by nonnegative sparse deconvolution F Hernando-Gallego, D Luengo, A Artés-Rodríguez IEEE journal of biomedical and health informatics 22 (5), 1385-1394, 2017	67	2017
Efficient Monte Carlo optimization for multi-label classifier chains J Read, L Martino, D Luengo 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013	56	2013
Heretical multiple importance sampling V Elvira, L Martino, D Luengo, MF Bugallo IEEE Signal Processing Letters 23 (10), 1474-1478, 2016	53	2016
A fast universal self-tuned sampler within Gibbs sampling L Martino, H Yang, D Luengo, J Kanniainen, J Corander Digital Signal Processing 47, 68-83, 2015	51	2015

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