David Luengo

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Citations	2894	2020
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Luca MartinoAssociate ProfessorVerified email at urjc.es
Víctor ElviraReader in Statistics and Data Science, University of EdinburghVerified email at ed.ac.uk
Ignacio SantamariaProfessor, Electrical Engineering, University of CantabriaVerified email at unican.es
Neil D. LawrenceUniversity of CambridgeVerified email at cl.cam.ac.uk
Mauricio A. ÁlvarezUniversity of ManchesterVerified email at manchester.ac.uk
Tom TriganoSenior Lecturer, SCE, Department of Electrical EngineeringVerified email at sce.ac.il
Antonio Artés RodríguezProfessor, Dept. of Signal Theory and Communications, Universidad Carlos III de MadridVerified email at tsc.uc3m.es
Jesse ReadÉcole PolytechniqueVerified email at polytechnique.edu
Elena Dominguez-JimenezUniversidad Politécnica de MadridVerified email at upm.es
Gustau Camps-VallsProfessor. Fellow IEEE/ELLIS/ESF/EurASC/AE. Image Processing Lab (IPL). Universitat de ValènciaVerified email at uv.es
Jesús Ibáñez DíazAssociate professor, Universidad de CantabriaVerified email at unican.es
Michalis TitsiasDeepMindVerified email at google.com
David Meltzer CaminoProfessor at Universidad Politécnica de MadridVerified email at upm.es
Roberto CASARINCa' Foscari University of VeniceVerified email at unive.it
Javier VíaUniversidad de CantabriaVerified email at gtas.dicom.unican.es
Francisco LouzadaUniversidade de São PauloVerified email at icmc.usp.br
Jordi Muñoz-MaríProfessor. Electronic Engineering Department, University of ValenciaVerified email at uv.es
Daniel Heestermans SvendsenDIS CopenhagenVerified email at dis.dk
Fabrizio LeisenProfessor of Statistics - University of NottinghamVerified email at nottingham.ac.uk
Manuel Campos-TabernerUniversitat de ValènciaVerified email at uv.es

David Luengo

Universidad Politécnica de Madrid (UPM)

Verified email at upm.es

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


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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	202	2017
Latent force models M Alvarez, D Luengo, ND Lawrence Artificial Intelligence and Statistics, 9-16, 2009	196	2009
Generalized multiple importance sampling V Elvira, L Martino, D Luengo, MF Bugallo	156	2019
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	141	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	121	2014
Layered adaptive importance sampling L Martino, V Elvira, D Luengo, J Corander Statistics and Computing 27, 599-623, 2017	119	2017
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	109	2013
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	100	2015
Improving population Monte Carlo: Alternative weighting and resampling schemes V Elvira, L Martino, D Luengo, MF Bugallo Signal Processing 131, 77-91, 2017	96	2017
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	96	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	90	2015
Efficient multiple importance sampling estimators V Elvira, L Martino, D Luengo, MF Bugallo IEEE Signal Processing Letters 22 (10), 1757-1761, 2015	87	2015
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	85	2016
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), 1-62, 2020	81	2020
Independent random sampling methods L Martino, D Luengo, J Míguez Springer International Publishing, 2018	67	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	64	2018
Heretical multiple importance sampling V Elvira, L Martino, D Luengo, MF Bugallo IEEE Signal Processing Letters 23 (10), 1474-1478, 2016	53	2016
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	51	2017
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	50	2015
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	47	2013

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