Mauricio A. Álvarez

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 102

Top Venues

University of Manchester, UK (PHD)

Education History

University of Manchester, UK

PHD

Publications

Xiaoyu Jiang, Sokratia Georgaka, Magnus Rattray, Mauricio A. Álvarez
Scalable Multi-Output Gaussian Processes with Stochastic Variational Inference. CoRR (2024)
Xinxing Shi, Thomas Baldwin-McDonald, Mauricio A. Álvarez
Adaptive RKHS Fourier Features for Compositional Gaussian Process Models. CoRR (2024)
Andrés Bueno-Crespo, Raquel Martínez-España, Juan Morales-García, Ana Ortiz-González, Baldomero Imbernón, José Martínez-Más, Daniel Rosique-Egea, Mauricio A. Álvarez
Diagnosis of Cervical Cancer Using a Deep Learning Explainable Fusion Model. IWINAC (2) (2024)
Arthur Leroy, Ai Ling Teh, Frank Dondelinger, Mauricio A. Álvarez, Dennis Wang
Longitudinal prediction of DNA methylation to forecast epigenetic outcomes. CoRR (2023)
Thomas M. McDonald, Magnus Ross, Michael T. Smith, Mauricio A. Álvarez
Nonparametric Gaussian Process Covariances via Multidimensional Convolutions. AISTATS (2023)
Thomas Baldwin-McDonald, Mauricio A. Álvarez
Deep Latent Force Models: ODE-based Process Convolutions for Bayesian Deep Learning. CoRR (2023)
Julián Gil González, Juan-José Giraldo, Andrés Marino Álvarez-Meza, Álvaro-Ángel Orozco-Gutierrez, Mauricio A. Álvarez
Correlated Chained Gaussian Processes for Datasets With Multiple Annotators. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Michael Thomas Smith, Kathrin Grosse, Michael Backes, Mauricio A. Álvarez
Adversarial vulnerability bounds for Gaussian process classification. Mach. Learn. 112 (3) (2023)
Daniel Augusto de Souza, Alexander Nikitin, ST John, Magnus Ross, Mauricio A. Álvarez, Marc Peter Deisenroth, João Paulo Pordeus Gomes, Diego Mesquita, César C. Lincoln Mattos
Thin and deep Gaussian processes. NeurIPS (2023)
Daniel Augusto de Souza, Alexander Nikitin, St John, Magnus Ross, Mauricio A. Álvarez, Marc Peter Deisenroth, João P. P. Gomes, Diego Mesquita, César Lincoln C. Mattos
Thin and Deep Gaussian Processes. CoRR (2023)
Chunchao Ma, Arthur Leroy, Mauricio A. Álvarez
Latent Variable Multi-output Gaussian Processes for Hierarchical Datasets. CoRR (2023)
Matthew Lyon, Paul A. Armitage, Mauricio A. Álvarez
Spatio-Angular Convolutions for Super-resolution in Diffusion MRI. CoRR (2023)
Chunchao Ma, Mauricio A. Álvarez
Large scale multi-output multi-class classification using Gaussian processes. Mach. Learn. 112 (4) (2023)
Thomas M. McDonald, Magnus Ross, Michael T. Smith, Mauricio A. Álvarez
Shallow and Deep Nonparametric Convolutions for Gaussian Processes. CoRR (2022)
Juan-José Giraldo, Jie Zhang, Mauricio A. Álvarez
Correlated Chained Gaussian Processes for Modelling Citizens Mobility Using a Zero-Inflated Poisson Likelihood. IEEE Trans. Intell. Transp. Syst. 23 (11) (2022)
Paterne Gahungu, Christopher W. Lanyon, Mauricio A. Álvarez, Engineer Bainomugisha, Michael Thomas Smith, Richard D. Wilkinson
Adjoint-aided inference of Gaussian process driven differential equations. CoRR (2022)
Paterne Gahungu, Christopher W. Lanyon, Mauricio A. Álvarez, Engineer Bainomugisha, Michael T. Smith, Richard Wilkinson
Adjoint-aided inference of Gaussian process driven differential equations. NeurIPS (2022)
Matthew Lyon, Paul A. Armitage, Mauricio A. Álvarez
Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder. MIDL (2022)
Juan-José Giraldo, Mauricio A. Álvarez
A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multioutput Gaussian Process Model. IEEE Trans. Neural Networks Learn. Syst. 33 (11) (2022)
Matthew Lyon, Paul A. Armitage, Mauricio A. Álvarez
Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder. CoRR (2022)
Magnus Ross, Michael Thomas Smith, Mauricio A. Álvarez
Learning Nonparametric Volterra Kernels with Gaussian Processes. CoRR (2021)
Thomas M. McDonald, Mauricio A. Álvarez
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features. CoRR (2021)
Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
Modular Gaussian Processes for Transfer Learning. NeurIPS (2021)
Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
Modular Gaussian Processes for Transfer Learning. CoRR (2021)
Magnus Ross, Michael T. Smith, Mauricio A. Álvarez
Learning Nonparametric Volterra Kernels with Gaussian Processes. NeurIPS (2021)
Andrés F. López-Lopera, Nicolas Durrande, Mauricio A. Álvarez
Physically-Inspired Gaussian Process Models for Post-Transcriptional Regulation in Drosophila. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (2) (2021)
Michael Thomas Smith, Mauricio A. Álvarez, Neil D. Lawrence
Differentially Private Regression and Classification with Sparse Gaussian Processes. J. Mach. Learn. Res. 22 (2021)
Thomas M. McDonald, Mauricio A. Álvarez
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features. NeurIPS (2021)
Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
Recyclable Gaussian Processes. CoRR (2020)
Wil O. C. Ward, Tom Ryder, Dennis Prangle, Mauricio A. Álvarez
Black-Box Inference for Non-Linear Latent Force Models. AISTATS (2020)
Wil O. C. Ward, Tom Ryder, Dennis Prangle, Mauricio A. Álvarez
Variational Bridge Constructs for Grey Box Modelling with Gaussian Processes. CoRR (2019)
Michael Thomas Smith, Kathrin Grosse, Michael Backes, Mauricio A. Álvarez
Adversarial Vulnerability Bounds for Gaussian Process Classification. CoRR (2019)
Wil O. C. Ward, Mauricio A. Álvarez
Variational bridge constructs for approximate Gaussian process regression. CoRR (2019)
Juan-José Giraldo, Mauricio A. Álvarez
A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multi-Output Gaussian Process Model. CoRR (2019)
Hernán Darío Vargas Cardona, Álvaro Á. Orozco, Andrés M. Álvarez, Mauricio A. Álvarez
Tensor decomposition processes for interpolation of diffusion magnetic resonance imaging. Expert Syst. Appl. 118 (2019)
Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
Continual Multi-task Gaussian Processes. CoRR (2019)
Andrés F. López-Lopera, Mauricio A. Álvarez
Switched Latent Force Models for Reverse-Engineering Transcriptional Regulation in Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (1) (2019)
Fariba Yousefi, Michael Thomas Smith, Mauricio A. Álvarez
Multi-task Learning for Aggregated Data using Gaussian Processes. NeurIPS (2019)
Simo Särkkä, Mauricio A. Álvarez, Neil D. Lawrence
Gaussian Process Latent Force Models for Learning and Stochastic Control of Physical Systems. IEEE Trans. Autom. Control. 64 (7) (2019)
Pablo A. Alvarado, Mauricio A. Álvarez, Dan Stowell
Sparse Gaussian Process Audio Source Separation Using Spectrum Priors in the Time-domain. ICASSP (2019)
Fariba Yousefi, Michael Thomas Smith, Mauricio A. Álvarez
Multi-task Learning for Aggregated Data using Gaussian Processes. CoRR (2019)
Mauricio A. Álvarez, Wil O. C. Ward, Cristian Guarnizo
Non-linear process convolutions for multi-output Gaussian processes. AISTATS (2019)
Michael Thomas Smith, Mauricio A. Álvarez, Neil D. Lawrence
Differentially Private Regression and Classification with Sparse Gaussian Processes. CoRR (2019)
Michael Thomas Smith, Joel Ssematimba, Mauricio A. Álvarez, Engineer Bainomugisha
Machine Learning for a Low-cost Air Pollution Network. CoRR (2019)
Andrés F. López-Lopera, Nicolas Durrande, Mauricio A. Álvarez
Physically-inspired Gaussian processes for transcriptional regulation in Drosophila melanogaster. CoRR (2018)
Pablo A. Alvarado, Mauricio A. Álvarez, Dan Stowell
Sparse Gaussian process Audio Source Separation Using Spectrum Priors in the Time-Domain. CoRR (2018)
Michael Thomas Smith, Mauricio A. Álvarez, Neil D. Lawrence
Gaussian Process Regression for Binned Data. CoRR (2018)
Cristhian K. Valencia, Andrés M. Álvarez, Edgar A. Valencia, Mauricio A. Álvarez, Álvaro Orozco
Information Potential Variability for Hyperparameter Selection in the MMD Distance. CIARP (2018)
Cristian Guarnizo, Mauricio A. Álvarez
Fast Kernel Approximations for Latent Force Models and Convolved Multiple-Output Gaussian processes. CoRR (2018)
Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
Heterogeneous Multi-output Gaussian Process Prediction. NeurIPS (2018)
Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
Heterogeneous Multi-output Gaussian Process Prediction. CoRR (2018)
Jhon F. Cuellar-Fierro, Hernán Darío Vargas Cardona, Andrés M. Álvarez, Álvaro Á. Orozco, Mauricio A. Álvarez
Non-stationary Generalized Wishart Processes for Enhancing Resolution over Diffusion Tensor Fields. ISVC (2018)
Cristian Guarnizo, Mauricio A. Álvarez
Fast Kernel Approximations for Latent Force Models and Convolved Multiple-Output Gaussian processes. UAI (2018)
Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Álvaro Orozco
Multi-task learning for subthalamic nucleus identification in deep brain stimulation. Int. J. Mach. Learn. Cybern. 9 (7) (2018)
Mauricio A. Álvarez, Wil O. C. Ward, Cristian Guarnizo
Non-linear process convolutions for multi-output Gaussian processes. CoRR (2018)
Hernán F. García, Álvaro Ángel Orozco, Mauricio A. Álvarez
Nonlinear Probabilistic Latent Variable Models for Groupwise Correspondence Analysis in Brain Structures. MLSP (2018)
J. S. Blandon, Cristhian K. Valencia, Andrés M. Álvarez, Julián David Echeverry, Mauricio A. Álvarez, Álvaro Orozco
Shape Classification Using Hilbert Space Embeddings and Kernel Adaptive Filtering. ICIAR (2018)
Michael Thomas Smith, Mauricio A. Álvarez, Max Zwiessele, Neil D. Lawrence
Differentially Private Regression with Gaussian Processes. AISTATS (2018)
Edgar A. Valencia, Mauricio A. Álvarez
Short-term time series prediction using Hilbert space embeddings of autoregressive processes. Neurocomputing 266 (2017)
Zhenwen Dai, Mauricio A. Álvarez, Neil D. Lawrence
Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes. CoRR (2017)
Hernán F. García, Mauricio A. Álvarez, Álvaro Á. Orozco
Dynamic facial landmarking selection for emotion recognition using Gaussian processes. J. Multimodal User Interfaces 11 (4) (2017)
Jhon F. Cuellar-Fierro, Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Andrés M. Álvarez, Álvaro Á. Orozco
Non-stationary Multi-output Gaussian Processes for Enhancing Resolution over Diffusion Tensor Fields. CIARP (2017)
Cristian A. Torres-Valencia, Mauricio A. Álvarez, Álvaro Ángel Orozco-Guitiérrez
SVM-based feature selection methods for emotion recognition from multimodal data. J. Multimodal User Interfaces 11 (1) (2017)
Simo Särkkä, Mauricio A. Álvarez, Neil D. Lawrence
Gaussian Process Latent Force Models for Learning and Stochastic Control of Physical Systems. CoRR (2017)
Zhenwen Dai, Mauricio A. Álvarez, Neil D. Lawrence
Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes. NIPS (2017)
Cristian Guarnizo, Mauricio A. Álvarez
Impulse Response Estimation of Linear Time-Invariant Systems Using Convolved Gaussian Processes and Laguerre Functions. CIARP (2017)
Julián Gil González, Mauricio A. Álvarez, Álvaro Á. Orozco
Spatial Resolution Enhancement in Ultrasound Images from Multiple Annotators Knowledge. CIARP (2016)
Viviana Gómez-Orozco, J. Cuellar, Hernán F. García, Andrés Álvarez, Mauricio A. Álvarez, Álvaro Orozco, Óscar A. Henao
A Kernel-Based Approach for DBS Parameter Estimation. CIARP (2016)
Iván De La Pava, Juan Mejía, Andres Álvarez-Meza, Mauricio A. Álvarez, Álvaro Ángel Orozco-Guitiérrez, Óscar A. Henao
A Hierarchical K-Nearest Neighbor Approach for Volume of Tissue Activated Estimation. CIARP (2016)
Hernán F. García, Mauricio A. Álvarez, Álvaro Á. Orozco
Gaussian process dynamical models for multimodal affect recognition. EMBC (2016)
Hernán Darío Vargas Cardona, Álvaro Á. Orozco, Mauricio A. Álvarez
Multi-output Gaussian processes for enhancing resolution of diffusion tensor fields. EMBC (2016)
Hernán F. García, Mauricio A. Álvarez, Álvaro Á. Orozco
Bayesian Optimization for Fitting 3D Morphable Models of Brain Structures. CIARP (2016)
Carlos D. Zuluaga, Mauricio A. Álvarez
Approximate Probabilistic Power Flow. DARE@PKDD/ECML (2016)
Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Álvaro Á. Orozco
A Tucker decomposition process for probabilistic modeling of diffusion magnetic resonance imaging. CoRR (2016)
Julián Gil González, Mauricio A. Álvarez, Álvaro Á. Orozco
A probabilistic framework based on SLIC-superpixel and Gaussian processes for segmenting nerves in ultrasound images. EMBC (2016)
Cristian A. Torres-Valencia, M. Claudia Joana Santamaria, Mauricio A. Álvarez
Kernel temporal enhancement approach for LORETA source reconstruction using EEG data. EMBC (2016)
Hernán Darío Vargas Cardona, Álvaro Á. Orozco, Mauricio A. Álvarez
Analysis of the Geometry and Electric Properties of Brain Tissue in Simulation Models for Deep Brain Stimulation. CIARP (2016)
Cristian A. Torres-Valencia, J. A. Hernández-Muriel, Wilson González-Vanegas, Andres Álvarez-Meza, Álvaro Ángel Orozco-Guitiérrez, Mauricio A. Álvarez
Non-parametric Source Reconstruction via Kernel Temporal Enhancement for EEG Data. CIARP (2016)
Andrés F. López-Lopera, Mauricio A. Álvarez, Álvaro Á. Orozco
Sparse Linear Models Applied to Power Quality Disturbance Classification. CIARP (2016)
Diego Agudelo-España, Mauricio A. Álvarez, Álvaro Á. Orozco
Definition and Composition of Motor Primitives Using Latent Force Models and Hidden Markov Models. CIARP (2016)
Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Álvaro Á. Orozco
Generalized Wishart processes for interpolation over diffusion tensor fields. CoRR (2016)
Julián Gil González, Mauricio A. Álvarez, Álvaro Á. Orozco
Peripheral Nerves Segmentation in Ultrasound Images Using Non-linear Wavelets and Gaussian Processes. IbPRIA (2015)
Julián Gil González, Mauricio A. Álvarez, Álvaro Á. Orozco
Automatic assessment of voice quality in the context of multiple annotations. EMBC (2015)
Hernán F. García, Mauricio A. Álvarez, Álvaro Orozco
Groupwise Shape Correspondences on 3D Brain Structures Using Probabilistic Latent Variable Models. ISVC (1) (2015)
Andrés F. López-Lopera, Mauricio A. Álvarez, Álvaro Á. Orozco
Improving Diffusion Tensor Estimation Using Adaptive and Optimized Filtering Based on Local Similarity. IbPRIA (2015)
Cristian A. Torres-Valencia, Hernán F. García, Germán A. Holguín, Mauricio A. Álvarez, Álvaro Orozco
Dynamic Hand Gesture Recognition Using Generalized Time Warping and Deep Belief Networks. ISVC (2) (2015)
José Bestier Padilla, Ramiro Arango, Hernán F. García, Hernán Darío Vargas Cardona, Álvaro Á. Orozco, Mauricio A. Álvarez, Enrique Guijarro-Estellés
NEURONAV: A Tool for Image-Guided Surgery - Application to Parkinson's Disease. ISVC (1) (2015)
Sebastián Gómez-González, Mauricio A. Álvarez, Hernán F. García, Jorge I. Ríos, Álvaro Á. Orozco
Discriminative Training for Convolved Multiple-Output Gaussian Processes. CIARP (2015)
Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Álvaro Á. Orozco
Generalized Wishart Processes for Interpolation Over Diffusion Tensor Fields. ISVC (2) (2015)
Hernán F. García, Juan J. Giraldo, Mauricio A. Álvarez, Álvaro Á. Orozco, Diego Salazar
Peripheral Nerve Segmentation Using Speckle Removal and Bayesian Shape Models. IbPRIA (2015)
Mauricio Orbes-Arteaga, David Cárdenas-Peña, Mauricio A. Álvarez, Álvaro Á. Orozco, Germán Castellanos-Domínguez
Magnetic Resonance Image Selection for Multi-Atlas Segmentation Using Mixture Models. CIARP (2015)
Mauricio Orbes-Arteaga, David Cárdenas-Peña, Mauricio A. Álvarez, Álvaro Á. Orozco, Germán Castellanos-Domínguez
Spatial-Dependent Similarity Metric Supporting Multi-atlas MRI Segmentation. IbPRIA (2015)
Juan J. Giraldo, Mauricio A. Álvarez, Álvaro Á. Orozco
Peripheral nerve segmentation using Nonparametric Bayesian Hierarchical Clustering. EMBC (2015)
Julián Gil González, Mauricio A. Álvarez, Álvaro Á. Orozco
Automatic segmentation of nerve structures in ultrasound images using Graph Cuts and Gaussian processes. EMBC (2015)
Cristian Guarnizo, Mauricio A. Álvarez, Álvaro Á. Orozco
Indian Buffet Process for Model Selection in Latent Force Models. CIARP (2015)
Mauricio Orbes-Arteaga, David Cárdenas-Peña, Mauricio A. Álvarez, Álvaro Á. Orozco, Germán Castellanos-Domínguez
Kernel Centered Alignment Supervised Metric for Multi-Atlas Segmentation. ICIAP (1) (2015)
Hernán Darío Vargas Cardona, Andrés F. López-Lopera, Álvaro Á. Orozco, Mauricio A. Álvarez, Juan Antonio Hernández Tamames, Norberto Malpica
Gaussian Processes for Slice-Based Super-Resolution MR Images. ISVC (2) (2015)
Carlos D. Zuluaga, Edgar A. Valencia, Mauricio A. Álvarez, Álvaro Á. Orozco
A Parzen-Based Distance Between Probability Measures as an Alternative of Summary Statistics in Approximate Bayesian Computation. ICIAP (1) (2015)
Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Álvaro Á. Orozco
Convolved Multi-output Gaussian Processes for Semi-Supervised Learning. ICIAP (1) (2015)
Jhouben J. Cuesta, Mauricio A. Álvarez, Álvaro Á. Orozco
Global and Local Gaussian Process for Multioutput and Treed Data. ICIAP (1) (2015)

Mauricio A. Álvarez.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Mauricio A. Álvarez