Alvarez, Mauricio

12 publications

NeurIPS 2021 Compositional Modeling of Nonlinear Dynamical Systems with ODE-Based Random Features Thomas McDonald, Mauricio Álvarez

NeurIPS 2021 Learning Nonparametric Volterra Kernels with Gaussian Processes Magnus Ross, Michael T Smith, Mauricio Álvarez

NeurIPS 2021 Modular Gaussian Processes for Transfer Learning Pablo Moreno-Muñoz, Antonio Artes, Mauricio Álvarez

AISTATS 2020 Black-Box Inference for Non-Linear Latent Force Models Wil Ward, Tom Ryder, Dennis Prangle, Mauricio Alvarez

NeurIPS 2020 Multi-Task Causal Learning with Gaussian Processes Virginia Aglietti, Theodoros Damoulas, Mauricio Álvarez, Javier González

NeurIPS 2019 Multi-Task Learning for Aggregated Data Using Gaussian Processes Fariba Yousefi, Michael T Smith, Mauricio Álvarez

NeurIPS 2018 Heterogeneous Multi-Output Gaussian Process Prediction Pablo Moreno-Muñoz, Antonio Artés, Mauricio Álvarez

NeurIPS 2017 Efficient Modeling of Latent Information in Supervised Learning Using Gaussian Processes Zhenwen Dai, Mauricio Álvarez, Neil Lawrence

AISTATS 2010 Efficient Multioutput Gaussian Processes Through Variational Inducing Kernels Mauricio Álvarez, David Luengo, Michalis Titsias, Neil D. Lawrence

NeurIPS 2010 Switched Latent Force Models for Movement Segmentation Mauricio Alvarez, Jan R. Peters, Neil D. Lawrence, Bernhard Schölkopf

AISTATS 2009 Latent Force Models Mauricio Álvarez, David Luengo, Neil D. Lawrence

NeurIPS 2008 Sparse Convolved Gaussian Processes for Multi-Output Regression Mauricio Alvarez, Neil D. Lawrence