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  • 2023

    Nonparametric Gaussian Process Covariances via Multidimensional Convolutions

    McDonald, T. M., Ross, M., Smith, M. T. & Alvarez, M., 20 Aug 2023, Proceedings of Machine Learning Research: International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain. Vol. 206. p. 8279-8293 15 p. (Proceedings of Machine Learning Research).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • 2021

    Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features

    McDonald, T. M. & Álvarez, M. A., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 13809-13819 11 p. (Advances in Neural Information Processing Systems; vol. 17).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Learning Nonparametric Volterra Kernels with Gaussian Processes

    Ross, M., Smith, M. T. & Álvarez, M. A., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 24099-24110 12 p. (Advances in Neural Information Processing Systems; vol. 29).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Modular Gaussian Processes for Transfer Learning

    Moreno-Muñoz, P., Artés-Rodríguez, A. & Álvarez, M. A., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 24730-24740 11 p. (Advances in Neural Information Processing Systems; vol. 30).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2019

    Information potential variability for hyperparameter selection in the MMD distance

    Valencia, C. K., Álvarez, A., Valencia, E. A., Álvarez, M. A. & Orozco, Á., 2019, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 23rd Iberoamerican Congress, CIARP 2018, Proceedings. Vera-Rodriguez, R., Fierrez, J. & Morales, A. (eds.). Springer-Verlag Italia, p. 279-286 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11401 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Sparse Gaussian Process Audio Source Separation Using Spectrum Priors in the Time-domain

    Alvarado, P. A., Alvarez, M. A. & Stowell, D., May 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. IEEE, p. 995-999 5 p. 8683287. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2018

    Fast Kernel approximations for latent force models and convolved multiple-output Gaussian processes

    Guarnizo, C. & Álvarez, M. A., 2018, 34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018. Silva, R., Globerson, A. & Globerson, A. (eds.). Association For Uncertainty in Artificial Intelligence (AUAI), p. 835-844 10 p. (34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018; vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Nonlinear probabilistic latent variable models for groupwise correspondence analysis in brain structures

    Garcia, H. F., Orozco, A. A. & Alvarez, M. A., 31 Oct 2018, 2018 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2018 - Proceedings. Pustelnik, N., Tan, Z-H., Ma, Z. & Larsen, J. (eds.). IEEE Computer Society , 8516934. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP; vol. 2018-September).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Non-stationary generalized wishart processes for enhancing resolution over diffusion tensor fields

    Cuellar-Fierro, J. F., Vargas-Cardona, H. D., Álvarez, A. M., Orozco, Á. A. & Álvarez, M. A., 2018, Advances in Visual Computing - 13th International Symposium, ISVC 2018, Proceedings. Xu, K., Lin, S., Boyle, R., Alsallakh, B., Turek, M., Ramalingam, S., Bebis, G., Parvin, B., Yang, J., Ventura, J., Koracin, D. & Cuervo, E. (eds.). Springer-Verlag Italia, p. 371-381 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11241 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Non-stationary multi-output gaussian processes for enhancing resolution over diffusion tensor fields

    Cuellar-Fierro, J. F., Vargas-Cardona, H. D., Álvarez, M. A., Álvarez, A. M. & Orozco, Á. A., 2018, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 22nd Iberoamerican Congress, CIARP 2017, Proceedings. Velastin, S. & Mendoza, M. (eds.). Springer-Verlag Italia, p. 168-176 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10657 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Shape Classification Using Hilbert Space Embeddings and Kernel Adaptive Filtering

    Blandon, J. S., Valencia, C. K., Alvarez, A., Echeverry, J., Alvarez, M. A. & Orozco, A., 2018, Image Analysis and Recognition - 15th International Conference, ICIAR 2018, Proceedings. ter Haar Romeny, B., Karray, F. & Campilho, A. (eds.). Springer-Verlag Italia, p. 245-251 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10882 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review