Scalable Multi-Output Gaussian Processes with Stochastic Variational Inference

Authors: Jiang, Xiaoyu, Georgaka, Sokratia, Rattray, Magnus, Alvarez, Mauricio A.

Subject Terms: Computer Science - Machine Learning, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2407.02476

Adaptive RKHS Fourier Features for Compositional Gaussian Process Models

Authors: Shi, Xinxing, Baldwin-McDonald, Thomas, Álvarez, Mauricio A.

Subject Terms: Computer Science - Machine Learning, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2407.01856

Prospective Prediction of Body Mass Index Trajectories using Multi-task Gaussian Processes

Authors: Leroy, Arthur, Gupta, Varsha, Tint, Mya Thway, Qin, Delicia Ooi Shu, Godfrey, Keith M., Yap, Fabian, Ngee, Leck, Lee, Yung Seng, Eriksson, Johan G., Michael, Navin, Alvarez, Mauricio A., Wang, Dennis

Subject Terms: Statistics - Applications

Access URL: http://arxiv.org/abs/2402.02589

Longitudinal prediction of DNA methylation to forecast epigenetic outcomes

Authors: Leroy, Arthur, Teh, Ai Ling, Dondelinger, Frank, Alvarez, Mauricio A., Wang, Dennis

Subject Terms: Quantitative Biology - Genomics, Computer Science - Machine Learning, Statistics - Applications

Access URL: http://arxiv.org/abs/2312.13302

Deep Latent Force Models: ODE-based Process Convolutions for Bayesian Deep Learning

Authors: Baldwin-McDonald, Thomas, Álvarez, Mauricio A.

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2311.14828

Thin and Deep Gaussian Processes

Authors: de Souza, Daniel Augusto, Nikitin, Alexander, John, ST, Ross, Magnus, Álvarez, Mauricio A., Deisenroth, Marc Peter, Gomes, João P. P., Mesquita, Diego, Mattos, César Lincoln C.

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2310.11527

Latent Variable Multi-output Gaussian Processes for Hierarchical Datasets

Authors: Ma, Chunchao, Leroy, Arthur, Alvarez, Mauricio

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2308.16822

Spatio-Angular Convolutions for Super-resolution in Diffusion MRI

Authors: Lyon, Matthew, Armitage, Paul, Álvarez, Mauricio A

Subject Terms: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2306.00854

Shallow and Deep Nonparametric Convolutions for Gaussian Processes

Authors: McDonald, Thomas M., Ross, Magnus, Smith, Michael T., Álvarez, Mauricio A.

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2206.08972

Modelling calibration uncertainty in networks of environmental sensors

Authors: Smith, Michael Thomas, Ross, Magnus, Ssematimba, Joel, Alvarado, Pablo A., Alvarez, Mauricio, Bainomugisha, Engineer, Wilkinson, Richard

Subject Terms: Computer Science - Machine Learning, 60G15

Access URL: http://arxiv.org/abs/2205.01988

Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder

Authors: Lyon, Matthew, Armitage, Paul, Álvarez, Mauricio A.

Subject Terms: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2203.15598

Adjoint-aided inference of Gaussian process driven differential equations

Authors: Gahungu, Paterne, Lanyon, Christopher W, Alvarez, Mauricio A, Bainomugisha, Engineer, Smith, Michael, Wilkinson, Richard D.

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2202.04589

Modular Gaussian Processes for Transfer Learning

Authors: Moreno-Muñoz, Pablo, Artés-Rodríguez, Antonio, Álvarez, Mauricio A.

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2110.13515

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

Authors: McDonald, Thomas M., Álvarez, Mauricio A.

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2106.05960

Learning Nonparametric Volterra Kernels with Gaussian Processes

Authors: Ross, Magnus, Smith, Michael T., Álvarez, Mauricio A.

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2106.05582

Recyclable Gaussian Processes

Authors: Moreno-Muñoz, Pablo, Artés-Rodríguez, Antonio, Álvarez, Mauricio A.

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2010.02554

Multi-task Causal Learning with Gaussian Processes

Authors: Aglietti, Virginia, Damoulas, Theodoros, Álvarez, Mauricio, González, Javier

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2009.12821

Preparación pandémica: acciones requeridas. Conclusiones del panel multidisciplinario PUIREE, 2024.

Alternate Title: Pandemic preparedness: required actions. Conclusions of the PUIREE 2024 multidisciplinary panel.

Authors: Rodríguez-Álvarez, Mauricio^1,2, Ponce de León-Rosales, Samuel^1,2, Zaidi-Jacobson, Mussaret², Pérez-Cuevas, Ricardo³, Argüelles-Gómez, Carlos⁴, Baridó-Murguía, María Enriqueta⁵, Alberto Campillo-Balderas, José⁶, Cornejo-Juárez, Patricia⁷, Pablo Cruz-Hervert, Luis⁸, Cruz-Pacheco, Gustavo⁹, de la Concha, Florencio⁴, Baruch Díaz-Ramírez, Jorge¹, García-García, María de Lourdes¹⁰, Margarita Hernández-Cárdenas, Carmen¹¹, Jácome-Ramírez, Rodrigo⁶, Jiménez-Corona, María Eugenia¹², Lazcano-Araujo, Antonio⁶, Enrique Linares-Salgado, Jorge¹³, López-Vidal, Yolanda¹, Martínez-Cristo, Néstor¹⁴

Source: Salud Pública de México. jul/ago2024, Vol. 66 Issue 4, p617-627. 11p.

Subject Terms: *Pandemic preparedness, *Health facilities, *COVID-19 pandemic, *Delphi method, Social distancing

Machine Learning for a Low-cost Air Pollution Network

Authors: Smith, Michael T., Ssematimba, Joel, Alvarez, Mauricio A., Bainomugisha, Engineer

Subject Terms: Computer Science - Machine Learning, Statistics - Applications, Statistics - Machine Learning, 60G15

Access URL: http://arxiv.org/abs/1911.12868

A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multi-Output Gaussian Process Model

Authors: Giraldo, Juan-José, Álvarez, Mauricio A.

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/1911.10225