David Luengo - Google Scholar Citations

Cited by

	All	Since 2014
Citations	1472	1217
h-index	21	19
i10-index	36	29

340

170

255

20012002200320042005200620072008200920102011201220132014201520162017201820199 5 8 8 16 10 18 14 31 25 32 26 33 72 96 188 227 337 274

Co-authors

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
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
Tom TriganoSenior Lecturer, SCE, Department of Electrical EngineeringVerified email at sce.ac.il
Jesús Ibáñez DíazAssociate professor, Universidad de CantabriaVerified email at unican.es
Michalis TitsiasDeepMindVerified email at google.com
Elena Dominguez-JimenezUniversidad Politécnica de MadridVerified email at upm.es
Roberto CASARINUniversity Ca' Foscari of VeniceVerified email at unive.it
Francisco LouzadaUniversidade de São PauloVerified email at icmc.usp.br
Fabrizio LeisenReader in Statistics-University of KentVerified email at kent.ac.uk
Javier VíaUniversidad de CantabriaVerified email at gtas.dicom.unican.es
Fernando Cruz-RoldánProfessorVerified email at uah.es
Gustau Camps-VallsProfessor. Image Processing Laboratory (IPL). Universitat de València.Verified email at uv.es
David Meltzer CaminoProfessor at Universidad Politécnica de MadridVerified email at upm.es
Pablo M. OlmosUniversity Carlos III de MadridVerified email at tsc.uc3m.es
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


Title	Cited by	Year
Latent force models M Alvarez, D Luengo, ND Lawrence Artificial Intelligence and Statistics, 9-16, 2009	111	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	86	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	74	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	61	2013
Generalized multiple importance sampling V Elvira, L Martino, D Luengo, MF Bugallo arXiv preprint arXiv:1511.03095, 2015	59*	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	57	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	55	2015
Layered adaptive importance sampling L Martino, V Elvira, D Luengo, J Corander Statistics and Computing 27 (3), 599-623, 2017	53	2017
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	50	2015
Efficient multiple importance sampling estimators V Elvira, L Martino, D Luengo, MF Bugallo IEEE Signal Processing Letters 22 (10), 1757-1761, 2015	49	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	45	2016
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	42	2017
Improving population Monte Carlo: Alternative weighting and resampling schemes V Elvira, L Martino, D Luengo, MF Bugallo Signal Processing 131, 77-91, 2017	42	2017
Secure communications using OFDM with chaotic modulation in the subcarriers D Luengo, I Santamaria 2005 IEEE 61st Vehicular Technology Conference 2, 1022-1026, 2005	37	2005
Fully adaptive gaussian mixture metropolis-hastings algorithm D Luengo, L Martino 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013	36	2013
Heretical multiple importance sampling V Elvira, L Martino, D Luengo, MF Bugallo IEEE Signal Processing Letters 23 (10), 1474-1478, 2016	33	2016
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	33	2013
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	29*	2000
Independent doubly adaptive rejection Metropolis sampling L Martino, J Read, D Luengo 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014	28	2014
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	26	2015

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Upload PDF

Follow this author

Cited by

Co-authors