Items where authors include "Alvarez, M.A."
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Gil-Gonzalez, J., Giraldo, J.-J., Alvarez-Meza, A.M. et al. (2 more authors) (2021) Correlated chained Gaussian processes for datasets with multiple annotators. IEEE Transactions on Neural Networks and Learning Systems. ISSN 2162-237X
Lopez-Lopera, A.F., Durrande, N. and Alvarez, M.A. (2021) Physically-inspired Gaussian process models for post-transcriptional regulation in Drosophila. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 18 (2). pp. 656-666. ISSN 1545-5963
Alvarez, M.A. orcid.org/0000-0002-8980-4472, Luengo, D. and Lawrence, N.D. orcid.org/0000-0001-9258-1030 (2013) Linear Latent Force Models Using Gaussian Processes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35 (11). pp. 2693-2705. ISSN 0162-8828
Alvarez, M.A., Rosasco, L. and Lawrence, N.D. orcid.org/0000-0001-9258-1030 (2012) Kernels for Vector-Valued Functions: a Review. Foundations and Trends® in Machine Learning, 4 (3). pp. 195-266. ISSN 1935-8237
Proceedings Paper
Ward, W.O.C. orcid.org/0000-0002-4904-7294, Ryder, T., Prangle, D. et al. (1 more author) (2020) Black-box inference for non-linear latent force models. In: Chiappa, S. and Calandra, R., (eds.) International Conference on Artificial Intelligence and Statistics. International Conference on Artificial Intelligence and Statistics, 26-28 Aug 2020, Virtual conference. PMLR - Proceedings of Machine Learning Research , pp. 3088-3098.
Smith, M.T., Alvarez, M.A., Zwiessele, M. et al. (1 more author) (2018) Differentially private regression with Gaussian processes. In: Storkey, A. and Perez-Cruz, F., (eds.) Proceedings of the 21st International Conference on Artificial Intelligence and Statistics. International Conference on Artificial Intelligence and Statistics 2018, 09-11 Apr 2018, Lanzarote, Canary Islands. Proceedings of Machine Learning Research (84). PMLR , pp. 1195-1203.
Cardona, H.D.V., Alvarez, M.A. and Orozco, A.A. (2015) Generalized Wishart processes for interpolation over diffusion tensor fields. In: Advances in Visual Computing. 11th International Symposium, ISVC 2015, December 14-16, 2015, Las Vegas, NV, USA. Lecture Notes in Computer Science (9475). Springer , pp. 499-508. ISBN 978-3-319-27862-9