Mauricio A. Álvarez
Mauricio A. Álvarez
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TitleCited byYear
Kernels for vector-valued functions: A review
MA Alvarez, L Rosasco, ND Lawrence
Foundations and Trends® in Machine Learning 4 (3), 195-266, 2012
Computationally efficient convolved multiple output Gaussian processes
MA Álvarez, ND Lawrence
Journal of Machine Learning Research 12 (May), 1459-1500, 2011
Sparse convolved Gaussian processes for multi-output regression
M Alvarez, N Lawrence
Latent force models
M Alvarez, D Luengo, ND Lawrence
Artificial Intelligence and Statistics, 9-16, 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
Short-term wind speed prediction based on robust Kalman filtering: An experimental comparison
CD Zuluaga, MA Alvarez, E Giraldo
Applied Energy 156, 321-330, 2015
Linear latent force models using Gaussian processes
MA Alvarez, D Luengo, ND Lawrence
IEEE transactions on pattern analysis and machine intelligence 35 (11), 2693 …, 2013
Switched latent force models for movement segmentation
M Alvarez, JR Peters, ND Lawrence, B Schölkopf
Advances in neural information processing systems, 55-63, 2010
Comparative analysis of physiological signals and electroencephalogram (eeg) for multimodal emotion recognition using generative models
CA Torres-Valencia, HF Garcia-Arias, MAA Lopez, AA Orozco-Gutiérrez
2014 XIX Symposium on Image, Signal Processing and Artificial Vision, 1-5, 2014
Feature selection for multimodal emotion recognition in the arousal-valence space
CA Torres, ÁA Orozco, MA Álvarez
2013 35th Annual International Conference of the IEEE Engineering in …, 2013
Heterogeneous multi-output Gaussian process prediction
P Moreno-Muñoz, A Artés, M Álvarez
Advances in Neural Information Processing Systems, 6711-6720, 2018
SVM-based feature selection methods for emotion recognition from multimodal data
C Torres-Valencia, M Álvarez-López, Á Orozco-Gutiérrez
Journal on Multimodal User Interfaces 11 (1), 9-23, 2017
Efficient modeling of latent information in supervised learning using Gaussian processes
Z Dai, M Alvarez, N Lawrence
Advances in Neural Information Processing Systems, 5131-5139, 2017
Clasificación de eventos sísmicos empleando procesos gaussianos
M Alvarez, R Henao, E Duque
Scientia et technica 1 (35), 2007
A Gaussian process emulator for estimating the volume of tissue activated during deep brain stimulation
I De La Pava, V Gómez, MA Álvarez, ÓA Henao, G Daza-Santacoloma, ...
Iberian Conference on Pattern Recognition and Image Analysis, 691-699, 2015
Convolved Gaussian process priors for multivariate regression with applications to dynamical systems
MA Alvarez
PQDT-UK & Ireland, 2011
Estimación de los parámetros de un modelo de un horno de arco eléctrico usando máxima verosimilitud
JJ Marulanda-Durango, CD Sepúlveda-Londoño, MA Alvarez-López
TecnoLógicas, 69-89, 2012
Gaussian process latent force models for learning and stochastic control of physical systems
S Sarkka, MA Alvarez, ND Lawrence
IEEE Transactions on Automatic Control, 2018
Fast kernel approximations for latent force models and convolved multiple-output Gaussian processes
C Guarnizo, MA Álvarez
arXiv preprint arXiv:1805.07460, 2018
Differentially private regression with Gaussian processes
M Smith, M Álvarez, M Zwiessele, ND Lawrence
International Conference on Artificial Intelligence and Statistics, 1195-1203, 2018
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