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Mauricio A. Álvarez
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Year
Kernels for vector-valued functions: A review
MA Alvarez, L Rosasco, ND Lawrence
Foundations and Trends® in Machine Learning 4 (3), 195-266, 2012
7722012
Computationally efficient convolved multiple output Gaussian processes
MA Alvarez, ND Lawrence
The Journal of Machine Learning Research 12, 1459-1500, 2011
3352011
Sparse convolved Gaussian processes for multi-output regression
M Alvarez, N Lawrence
2512008
Latent force models
M Alvarez, D Luengo, ND Lawrence
Artificial Intelligence and Statistics, 9-16, 2009
1872009
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
1422015
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
1362010
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
1032013
Heterogeneous multi-output Gaussian process prediction
P Moreno-Muñoz, A Artés, M Alvarez
Advances in neural information processing systems 31, 2018
622018
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
512017
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
492014
Gaussian process latent force models for learning and stochastic control of physical systems
S Särkkä, MA Alvarez, ND Lawrence
IEEE Transactions on Automatic Control 64 (7), 2953-2960, 2018
392018
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
382013
Switched latent force models for movement segmentation
M Alvarez, J Peters, N Lawrence, B Schölkopf
Advances in neural information processing systems 23, 2010
372010
Differentially private regression with Gaussian processes
MT Smith, MA Álvarez, M Zwiessele, ND Lawrence
International Conference on Artificial Intelligence and Statistics, 1195-1203, 2018
302018
Gaussian process dynamical models for multimodal affect recognition
HF García, MA Álvarez, ÁÁ Orozco
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
222016
Multi-task learning for aggregated data using Gaussian processes
F Yousefi, MT Smith, M Alvarez
Advances in Neural Information Processing Systems 32, 2019
192019
Efficient modeling of latent information in supervised learning using gaussian processes
Z Dai, M Álvarez, N Lawrence
Advances in Neural Information Processing Systems 30, 2017
172017
Non-linear process convolutions for multi-output Gaussian processes
MA Álvarez, W Ward, C Guarnizo
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
142019
Convolved Gaussian process priors for multivariate regression with applications to dynamical systems
MA Alvarez
PQDT-UK & Ireland, 2011
132011
Multi-task causal learning with gaussian processes
V Aglietti, T Damoulas, M Álvarez, J González
Advances in Neural Information Processing Systems 33, 6293-6304, 2020
122020
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