Alvarez, Mauricio A.

17 publications

AISTATS 2025 Adaptive RKHS Fourier Features for Compositional Gaussian Process Models Xinxing Shi, Thomas Baldwin-McDonald, Mauricio A Álvarez

MLJ 2025 Deep Latent Force Models: ODE-Based Process Convolutions for Bayesian Deep Learning Thomas Baldwin-McDonald, Xinxing Shi, Mingxin Shen, Mauricio A. Álvarez

ICML 2025 Neighbour-Driven Gaussian Process Variational Autoencoders for Scalable Structured Latent Modelling Xinxing Shi, Xiaoyu Jiang, Mauricio A Álvarez

TMLR 2025 Scalable Multi-Output Gaussian Processes with Stochastic Variational Inference Xiaoyu Jiang, Sokratia Georgaka, Magnus Rattray, Mauricio A Álvarez

MLJ 2023 Adversarial Vulnerability Bounds for Gaussian Process Classification Michael Thomas Smith, Kathrin Grosse, Michael Backes, Mauricio A. Álvarez

MIDL 2023 Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder Matthew Lyon, Paul Armitage, Mauricio A Álvarez

MLJ 2023 Large Scale Multi-Output Multi-Class Classification Using Gaussian Processes Chunchao Ma, Mauricio A. Álvarez

AISTATS 2023 Nonparametric Gaussian Process Covariances via Multidimensional Convolutions Thomas M. Mcdonald, Magnus Ross, Michael T. Smith, Mauricio A. Álvarez

NeurIPS 2023 Spatio-Angular Convolutions for Super-Resolution in Diffusion MRI Matthew Lyon, Paul Armitage, Mauricio A Álvarez

NeurIPS 2023 Thin and Deep Gaussian Processes Daniel Augusto de Souza, Alexander Nikitin, St John, Magnus Ross, Mauricio A Álvarez, Marc Deisenroth, João Paulo Gomes, Diego Mesquita, César Lincoln Mattos

NeurIPS 2022 Adjoint-Aided Inference of Gaussian Process Driven Differential Equations Paterne Gahungu, Christopher Lanyon, Mauricio A Álvarez, Engineer Bainomugisha, Michael T Smith, Richard Wilkinson

JMLR 2021 Differentially Private Regression and Classification with Sparse Gaussian Processes Michael Thomas Smith, Mauricio A. Alvarez, Neil D. Lawrence

AISTATS 2019 Non-Linear Process Convolutions for Multi-Output Gaussian Processes Mauricio A. Alvarez, Wil Ward, Cristian Guarnizo

AISTATS 2018 Differentially Private Regression with Gaussian Processes Michael T. Smith, Mauricio A. Álvarez, Max Zwiessele, Neil D. Lawrence

UAI 2018 Fast Kernel Approximations for Latent Force Models and Convolved Multiple-Output Gaussian Processes Cristian Guarnizo, Mauricio A. Álvarez

FnTML 2012 Kernels for Vector-Valued Functions: A Review Mauricio A. Álvarez, Lorenzo Rosasco, Neil D. Lawrence

JMLR 2011 Computationally Efficient Convolved Multiple Output Gaussian Processes Mauricio A. Álvarez, Neil D. Lawrence