David Luengo - Google Scholar

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Citations	1843	1502
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Luca MartinoUniversidad Rey Juan Carlos (URJC)Verified email at urjc.es
Víctor ElviraReader (Associate Professor), 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 SheffieldVerified email at sheffield.ac.uk
Jesse ReadÉcole PolytechniqueVerified email at polytechnique.edu
Antonio Artés RodríguezProfessor, Dept. of Signal Theory and Communications, Universidad Carlos III de MadridVerified email at tsc.uc3m.es
Tom TriganoSenior Lecturer, SCE, Department of Electrical EngineeringVerified email at sce.ac.il
Jesús Ibáñez DíazAssociate professor, Universidad de CantabriaVerified email at unican.es
Elena Dominguez-JimenezUniversidad Politécnica de MadridVerified email at upm.es
Michalis TitsiasDeepMindVerified email at google.com
Roberto CASARINUniversity Ca' Foscari of VeniceVerified email at unive.it
Francisco LouzadaUniversidade de São PauloVerified email at icmc.usp.br
Fabrizio LeisenProfessor of Statistics - University of NottinghamVerified email at nottingham.ac.uk
Javier VíaUniversidad de CantabriaVerified email at gtas.dicom.unican.es
Gustau Camps-VallsProfessor. IEEE Fellow. ELLIS Fellow. Image Processing Lab (IPL). Universitat de ValènciaVerified email at uv.es
Fernando Cruz-RoldánProfessorVerified email at uah.es
David Meltzer CaminoProfessor at Universidad Politécnica de MadridVerified email at upm.es
Manuel Campos-TabernerUniversitat de ValènciaVerified email at uv.es
Pablo M. OlmosUniversity Carlos III de MadridVerified email at tsc.uc3m.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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Latent force models M Alvarez, D Luengo, ND Lawrence Artificial Intelligence and Statistics, 9-16, 2009	132	2009
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	102	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	91	2014
Generalized multiple importance sampling V Elvira, L Martino, D Luengo, MF Bugallo Statistical Science 34 (1), 129-155, 2019	82	2019
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	76	2017
Layered adaptive importance sampling L Martino, V Elvira, D Luengo, J Corander Statistics and Computing 27 (3), 599-623, 2017	73	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	73	2013
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	68	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	67	2015
Efficient multiple importance sampling estimators V Elvira, L Martino, D Luengo, MF Bugallo IEEE Signal Processing Letters 22 (10), 1757-1761, 2015	65	2015
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	64	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	62	2016
Improving population Monte Carlo: Alternative weighting and resampling schemes V Elvira, L Martino, D Luengo, MF Bugallo Signal Processing 131, 77-91, 2017	58	2017
Heretical multiple importance sampling V Elvira, L Martino, D Luengo, MF Bugallo IEEE Signal Processing Letters 23 (10), 1474-1478, 2016	41	2016
Secure communications using OFDM with chaotic modulation in the subcarriers D Luengo, I Santamaria 2005 IEEE 61st Vehicular Technology Conference 2, 1022-1026, 2005	39	2005
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	38	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	38	2013
Fully adaptive gaussian mixture metropolis-hastings algorithm D Luengo, L Martino 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013	37	2013
Independent doubly adaptive rejection Metropolis sampling L Martino, J Read, D Luengo 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014	31	2014
Optimal Estimation of Chaotic Signals Generated by Piecewise-Linear Maps C Pantaleón, D Luengo, I Santamaría Signal Processing Letters, IEEE 7 (8), 235-237, 2000	30*	2000

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