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Number of items: 13.

Article

Smith, M.T., Grosse, K., Backes, M. et al. (1 more author) (2019) Adversarial vulnerability bounds for Gaussian process classification. arXiv. (Submitted)

Smith, M.T., Álvarez, M.A. and Lawrence, N.D. (2019) Differentially private regression and classification with sparse Gaussian processes. arXiv. (Submitted)

Smith, M.T., Álvarez, M.A. and Lawrence, N.D. orcid.org/0000-0001-9258-1030 (2019) Gaussian process regression for binned data. arXiv. (Submitted)

Särkkä, S., Álvarez, M.A. and Lawrence, N.D. orcid.org/0000-0001-9258-1030 (2018) Gaussian process latent force models for learning and stochastic control of physical systems. IEEE Transactions on Automatic Control. ISSN 0018-9286

López-Lopera, A.F. and Álvarez, M.A. orcid.org/0000-0002-8980-4472 (2017) Switched latent force models for reverse-engineering transcriptional regulation in gene expression data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. ISSN 1545-5963

Valencia, E.A. and Álvarez, M.A. orcid.org/0000-0002-8980-4472 (2017) Short-term time series prediction using Hilbert space embeddings of autoregressive processes. Neurocomputing. ISSN 0925-2312

Vargas Cardona, H.D., Álvarez, M.A. orcid.org/0000-0002-8980-4472 and Orozco, Á.A. (2017) Multi-task learning for subthalamic nucleus identification in deep brain stimulation. International Journal of Machine Learning and Cybernetics. ISSN 1868-8071

Alvarado, P.A., Torres-Valencia, C.A., Orozco-Gutiérrez, Á. et al. (3 more authors) (2016) Modeling and behavior of the simulation of electric propagation during deep brain stimulation. DYNA (Colombia), 83 (198). pp. 49-58. ISSN 0012-7353

Proceedings Paper

Moreno-Muñoz, P., Artés-Rodríguez, A. and Álvarez, M.A. (2019) Heterogeneous multi-output Gaussian process prediction. In: Bengio, S., Wallach, H., Larochelle, H., Grauman, K., Cesa-Bianchi, N. and Garnett, R., (eds.) Advances in Neural Information Processing Systems. Annual Conference on Neural Information Processing Systems 2018 (NeurIPS 2018), 03-08 Dec 2018, Montréal, Canada. Neural Information Processing Systems Foundation , pp. 6711-6720. ISBN 978-1-5108-8447-2

García, H.F., Álvarez, M.A. orcid.org/0000-0002-8980-4472 and Orozco, Á.A. (2017) Bayesian optimization for fitting 3D morphable models of brain structures. In: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2016. 21st Iberoamerican Congress, CIARP 2016, 08/11/2016-11/11/2016, Lima, Peru. Lecture Notes in Computer Science, 10125 . Springer Verlag , pp. 291-299. ISBN 9783319522760

Agudelo-España, D., Álvarez, M.A. orcid.org/0000-0002-8980-4472 and Orozco, Á.A. (2017) Definition and composition of motor primitives using latent force models and hidden Markov models. In: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2016. Iberoamerican Congress on Pattern Recognition, 08/11/2016-11/11/2016, Lima, Peru. Lecture Notes in Computer Science, 10125 . Springer Verlag , pp. 249-256. ISBN 9783319522760

Gómez-González, S., Álvarez, M.A. orcid.org/0000-0002-8980-4472, García, H.F. et al. (2 more authors) (2015) Discriminative training for Convolved Multiple-Output Gaussian processes. In: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. 20th Iberoamerican Congress, CIARP 2015, November 9-12, 2015, Montevideo, Uruguay. Lecture Notes in Computer Science book series (9423). , pp. 595-602. ISBN 978-3-319-25750-1

Zuluaga, C.D., Valencia, E.A., Álvarez, M.A. orcid.org/0000-0002-8980-4472 et al. (1 more author) (2015) A Parzen-based distance between probability measures as an alternative of summary statistics in Approximate Bayesian Computation. In: Image Analysis and Processing — ICIAP 2015. 18th International Conference, September 7-11, 2015, Genoa, Italy. Lecture Notes in Computer Science (9279). Springer , pp. 50-61. ISBN 978-3-319-23230-0

This list was generated on Sun Jan 19 15:26:16 2020 GMT.