Kernel Principal Component Analysis through Time for Voice Disorder Classification. - Mauricio A. Álvarez; Ricardo Henao; Germán Castellanos-Domínguez; Juan Ignacio Godino-Llorente; Álvaro Ángel Orozco (EMBC, 2006)

Identification of Spike Sources using Proximity Analysis through Hidden Markov Models. - Álvaro Ángel Orozco; Mauricio A. Álvarez; Enrique Guijarro-Estellés; Germán Castellanos-Domínguez (EMBC, 2006)

Probabilistic Kernel Principal Component Analysis Through Time. - Mauricio A. Álvarez; Ricardo Henao (ICONIP (1), 2006)

Sparse Convolved Gaussian Processes for Multi-output Regression. - Mauricio A. Álvarez; Neil D. Lawrence (NIPS, 2008)

Latent Force Models. - Mauricio A. Álvarez; David Luengo; Neil D. Lawrence (AISTATS, 2009)

Switched Latent Force Models for Movement Segmentation. - Mauricio A. Álvarez; Jan Peters 001; Bernhard Schölkopf; Neil D. Lawrence (NIPS, 2010)

Efficient Multioutput Gaussian Processes through Variational Inducing Kernels. - Mauricio A. Álvarez; David Luengo; Michalis K. Titsias; Neil D. Lawrence (AISTATS, 2010)

Computationally Efficient Convolved Multiple Output Gaussian Processes. - Mauricio A. Álvarez; Neil D. Lawrence (J. Mach. Learn. Res., 2011)

Convolved Gaussian process priors for multivariate regression with applications to dynamical systems. - Mauricio A. Álvarez (2011)

Multi-patient learning increases accuracy for Subthalamic nucleus identification in deep brain stimulation. - Hernán Darío Vargas Cardona; Álvaro Ángel Orozco; Mauricio A. Álvarez (EMBC, 2012)

NEUROZONE: On-line recognition of brain structures in stereotactic surgery - application to Parkinson's disease. - Hernán Darío Vargas Cardona; José Bestier Padilla; Ramiro Arango; Hans Carmona; Mauricio A. Álvarez; Enrique Guijarro-Estellés; Álvaro Ángel Orozco (EMBC, 2012)

Kernels for Vector-Valued Functions: A Review. - Mauricio A. Álvarez; Lorenzo Rosasco; Neil D. Lawrence (Found. Trends Mach. Learn., 2012)

Unsupervised learning applied in MER and ECG signals through Gaussians mixtures with the Expectation-Maximization algorithm and Variational Bayesian Inference. - Hernán Darío Vargas Cardona; Álvaro Ángel Orozco; Mauricio A. Álvarez (EMBC, 2013)

Dynamic physiological signal analysis based on Fisher kernels for emotion recognition. - Hernán F. García; Álvaro Á. Orozco; Mauricio A. Álvarez (EMBC, 2013)

Optimal sampling frequency in wavelet-based signal feature extraction using particle swarm optimization. - Cristian Guarnizo; Álvaro Á. Orozco; Mauricio A. Álvarez (EMBC, 2013)

Feature selection for multimodal emotion recognition in the arousal-valence space. - Cristian A. Torres-Valencia; Álvaro Á. Orozco; Mauricio A. Álvarez (EMBC, 2013)

Linear Latent Force Models Using Gaussian Processes. - Mauricio A. Álvarez; David Luengo; Neil D. Lawrence (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

A latent force model for describing electric propagation in deep brain stimulation: A simulation study. - Pablo A. Alvarado; Mauricio A. Álvarez; Genaro Daza-Santacoloma; Álvaro Orozco; Germán Castellanos-Domínguez (EMBC, 2014)

Tensor-product kernel-based representation encoding joint MRI view similarity. - Andrés Marino Álvarez-Meza; David Cárdenas-Peña; Andrés Eduardo Castro-Ospina; Mauricio A. Álvarez; Germán Castellanos-Domínguez (EMBC, 2014)

Sparse representation of MER signals for localizing the Subthalamic Nucleus in Parkinson's disease surgery. - Hernán Darío Vargas Cardona; Mauricio A. Álvarez; Álvaro Ángel Orozco (EMBC, 2014)

Latent force models for describing transcriptional regulation processes in the embryo development problem for the Drosophila melanogaster. - Juan David Vasquez Jaramillo; Mauricio A. Álvarez; Álvaro Á. Orozco (EMBC, 2014)

Multiple-output support vector machine regression with feature selection for arousal/valence space emotion assessment. - Cristian A. Torres-Valencia; Mauricio A. Álvarez; Álvaro Ángel Orozco-Guitiérrez (EMBC, 2014)

Automatic Recognition of Microcalcifications in Mammography Images through Fractal Texture Analysis. - Hernán Darío Vargas Cardona; Álvaro Orozco; Mauricio A. Álvarez (ISVC (2), 2014)

Gaussian Process Dynamical Models for Emotion Recognition. - Hernán F. García; Mauricio A. Álvarez; Álvaro Orozco (ISVC (2), 2014)

Bayesian Shape Models with Shape Priors for MRI Brain Segmentation. - Hernán F. García; Mauricio A. Álvarez; Álvaro Orozco (ISVC (2), 2014)

Discriminative Training for Convolved Multiple-Output Gaussian Processes. - Sebastián Gómez-González; Mauricio A. Álvarez; Hernán F. García; Jorge I. Ríos; Álvaro Á. Orozco (CIARP, 2015)

Fall Detection Algorithm Based on Thresholds and Residual Events. - Fily Mateos Grisales-Franco; Jesús Francisco Vargas-Bonilla; Álvaro Ángel Orozco; Mauricio A. Álvarez; Germán Castellanos-Domínguez (CIARP, 2015)

Indian Buffet Process for Model Selection in Latent Force Models. - Cristian Guarnizo; Mauricio A. Álvarez; Álvaro Á. Orozco (CIARP, 2015)

Magnetic Resonance Image Selection for Multi-Atlas Segmentation Using Mixture Models. - Mauricio Orbes-Arteaga; David Cárdenas-Peña; Mauricio A. Álvarez; Álvaro Á. Orozco; Germán Castellanos-Domínguez (CIARP, 2015)

Peripheral nerve segmentation using Nonparametric Bayesian Hierarchical Clustering. - Juan J. Giraldo; Mauricio A. Álvarez; Álvaro Á. Orozco (EMBC, 2015)

Automatic segmentation of nerve structures in ultrasound images using Graph Cuts and Gaussian processes. - Julián Gil González; Mauricio A. Álvarez; Álvaro Á. Orozco (EMBC, 2015)

Automatic assessment of voice quality in the context of multiple annotations. - Julián Gil González; Mauricio A. Álvarez; Álvaro Á. Orozco (EMBC, 2015)

Peripheral Nerve Segmentation Using Speckle Removal and Bayesian Shape Models. - Hernán F. García; Juan J. Giraldo; Mauricio A. Álvarez; Álvaro Á. Orozco; Diego Salazar (IbPRIA, 2015)

Peripheral Nerves Segmentation in Ultrasound Images Using Non-linear Wavelets and Gaussian Processes. - Julián Gil González; Mauricio A. Álvarez; Álvaro Á. Orozco (IbPRIA, 2015)

Improving Diffusion Tensor Estimation Using Adaptive and Optimized Filtering Based on Local Similarity. - Andrés F. López-Lopera; Mauricio A. Álvarez; Álvaro Á. Orozco (IbPRIA, 2015)

Spatial-Dependent Similarity Metric Supporting Multi-atlas MRI Segmentation. - Mauricio Orbes-Arteaga; David Cárdenas-Peña; Mauricio A. Álvarez; Álvaro Á. Orozco; Germán Castellanos-Domínguez (IbPRIA, 2015)

A Gaussian Process Emulator for Estimating the Volume of Tissue Activated During Deep Brain Stimulation. - Iván De La Pava; Viviana Gómez-Orozco; Mauricio A. Álvarez; Óscar Alberto Henao; Genaro Daza-Santacoloma; Álvaro Á. Orozco (IbPRIA, 2015)

Convolved Multi-output Gaussian Processes for Semi-Supervised Learning. - Hernán Darío Vargas Cardona; Mauricio A. Álvarez; Álvaro Á. Orozco (ICIAP (1), 2015)

Global and Local Gaussian Process for Multioutput and Treed Data. - Jhouben J. Cuesta; Mauricio A. Álvarez; Álvaro Á. Orozco (ICIAP (1), 2015)

Kernel Centered Alignment Supervised Metric for Multi-Atlas Segmentation. - Mauricio Orbes-Arteaga; David Cárdenas-Peña; Mauricio A. Álvarez; Álvaro Á. Orozco; Germán Castellanos-Domínguez (ICIAP (1), 2015)

A Parzen-Based Distance Between Probability Measures as an Alternative of Summary Statistics in Approximate Bayesian Computation. - Carlos D. Zuluaga; Edgar A. Valencia; Mauricio A. Álvarez; Álvaro Á. Orozco (ICIAP (1), 2015)

Generalized Wishart Processes for Interpolation Over Diffusion Tensor Fields. - Hernán Darío Vargas Cardona; Mauricio A. Álvarez; Álvaro Á. Orozco (ISVC (2), 2015)

Gaussian Processes for Slice-Based Super-Resolution MR Images. - Hernán Darío Vargas Cardona; Andrés F. López-Lopera; Álvaro Á. Orozco; Mauricio A. Álvarez; Juan Antonio Hernández Tamames; Norberto Malpica (ISVC (2), 2015)

Groupwise Shape Correspondences on 3D Brain Structures Using Probabilistic Latent Variable Models. - Hernán F. García; Mauricio A. Álvarez; Álvaro Orozco (ISVC (1), 2015)

NEURONAV: A Tool for Image-Guided Surgery - Application to Parkinson's Disease. - José Bestier Padilla; Ramiro Arango; Hernán F. García; Hernán Darío Vargas Cardona; Álvaro Á. Orozco; Mauricio A. Álvarez; Enrique Guijarro-Estellés (ISVC (1), 2015)

Dynamic Hand Gesture Recognition Using Generalized Time Warping and Deep Belief Networks. - Cristian A. Torres-Valencia; Hernán F. García; Germán A. Holguín; Mauricio A. Álvarez; Álvaro Orozco (ISVC (2), 2015)

Definition and Composition of Motor Primitives Using Latent Force Models and Hidden Markov Models. - Diego Agudelo-España; Mauricio A. Álvarez; Álvaro Á. Orozco (CIARP, 2016)

Analysis of the Geometry and Electric Properties of Brain Tissue in Simulation Models for Deep Brain Stimulation. - Hernán Darío Vargas Cardona; Álvaro Á. Orozco; Mauricio A. Álvarez (CIARP, 2016)

Bayesian Optimization for Fitting 3D Morphable Models of Brain Structures. - Hernán F. García; Mauricio A. Álvarez; Álvaro Á. Orozco (CIARP, 2016)

A Kernel-Based Approach for DBS Parameter Estimation. - Viviana Gómez-Orozco; Jhon F. Cuellar-Fierro; Hernán F. García; Andrés Álvarez; Mauricio A. Álvarez; Álvaro Orozco; Óscar Alberto Henao (CIARP, 2016)

Spatial Resolution Enhancement in Ultrasound Images from Multiple Annotators Knowledge. - Julián Gil González; Mauricio A. Álvarez; Álvaro Á. Orozco (CIARP, 2016)

Sparse Linear Models Applied to Power Quality Disturbance Classification. - Andrés F. López-Lopera; Mauricio A. Álvarez; Álvaro Á. Orozco (CIARP, 2016)

A Hierarchical K-Nearest Neighbor Approach for Volume of Tissue Activated Estimation. - Iván De La Pava; Juan Mejía; Andrés Álvarez-Meza; Mauricio A. Álvarez; Álvaro Ángel Orozco-Guitiérrez; Óscar Alberto Henao (CIARP, 2016)

Non-parametric Source Reconstruction via Kernel Temporal Enhancement for EEG Data. - Cristian A. Torres-Valencia; J. A. Hernández-Muriel; Wilson González-Vanegas; Andrés Álvarez-Meza; Álvaro Ángel Orozco-Guitiérrez; Mauricio A. Álvarez (CIARP, 2016)

Multi-output Gaussian processes for enhancing resolution of diffusion tensor fields. - Hernán Darío Vargas Cardona; Álvaro Á. Orozco; Mauricio A. Álvarez (EMBC, 2016)

Gaussian process dynamical models for multimodal affect recognition. - Hernán F. García; Mauricio A. Álvarez; Álvaro Á. Orozco (EMBC, 2016)

A probabilistic framework based on SLIC-superpixel and Gaussian processes for segmenting nerves in ultrasound images. - Julián Gil González; Mauricio A. Álvarez; Álvaro Á. Orozco (EMBC, 2016)

Kernel temporal enhancement approach for LORETA source reconstruction using EEG data. - Cristian A. Torres-Valencia; M. Claudia Joana Santamaria; Mauricio A. Álvarez (EMBC, 2016)

Approximate Probabilistic Power Flow. - Carlos D. Zuluaga; Mauricio A. Álvarez (DARE@PKDD/ECML, 2016)

A Tucker decomposition process for probabilistic modeling of diffusion magnetic resonance imaging. - Hernán Darío Vargas Cardona; Mauricio A. Álvarez; Álvaro Á. Orozco (CoRR, 2016)

Non-stationary Multi-output Gaussian Processes for Enhancing Resolution over Diffusion Tensor Fields. - Jhon F. Cuellar-Fierro; Hernán Darío Vargas Cardona; Mauricio A. Álvarez; Andrés M. Álvarez; Álvaro Á. Orozco (CIARP, 2017)

Impulse Response Estimation of Linear Time-Invariant Systems Using Convolved Gaussian Processes and Laguerre Functions. - Cristian Guarnizo; Mauricio A. Álvarez (CIARP, 2017)

Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes. - Zhenwen Dai; Mauricio A. Álvarez; Neil D. Lawrence (NIPS, 2017)

Short-term time series prediction using Hilbert space embeddings of autoregressive processes. - Edgar A. Valencia; Mauricio A. Álvarez (Neurocomputing, 2017)

Dynamic facial landmarking selection for emotion recognition using Gaussian processes. - Hernán F. García; Mauricio A. Álvarez; Álvaro Á. Orozco (J. Multimodal User Interfaces, 2017)

SVM-based feature selection methods for emotion recognition from multimodal data. - Cristian A. Torres-Valencia; Mauricio A. Álvarez; Álvaro Ángel Orozco-Guitiérrez (J. Multimodal User Interfaces, 2017)

Differentially Private Regression with Gaussian Processes. - Michael T. Smith 003; Mauricio A. Álvarez; Max Zwiessele; Neil D. Lawrence (AISTATS, 2018)

Information Potential Variability for Hyperparameter Selection in the MMD Distance. - Cristhian K. Valencia; Andrés M. Álvarez; Edgar A. Valencia; Mauricio A. Álvarez; Álvaro Orozco (CIARP, 2018)

Shape Classification Using Hilbert Space Embeddings and Kernel Adaptive Filtering. - J. S. Blandon; Cristhian K. Valencia; Andrés M. Álvarez; Julián David Echeverry; Mauricio A. Álvarez; Álvaro Orozco (ICIAR, 2018)

Non-stationary Generalized Wishart Processes for Enhancing Resolution over Diffusion Tensor Fields. - Jhon F. Cuellar-Fierro; Hernán Darío Vargas Cardona; Andrés M. Álvarez; Álvaro Á. Orozco; Mauricio A. Álvarez (ISVC, 2018)

Nonlinear Probabilistic Latent Variable Models for Groupwise Correspondence Analysis in Brain Structures. - Hernán F. García; Álvaro Ángel Orozco; Mauricio A. Álvarez (MLSP, 2018)

Heterogeneous Multi-output Gaussian Process Prediction. - Pablo Moreno-Muñoz; Antonio Artés-Rodríguez; Mauricio A. Álvarez (NeurIPS, 2018)

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

Physically-inspired Gaussian processes for transcriptional regulation in Drosophila melanogaster. - Andrés F. López-Lopera; Nicolas Durrande; Mauricio A. Álvarez (CoRR, 2018)

Gaussian Process Regression for Binned Data. - Michael Thomas Smith; Mauricio A. Álvarez; Neil D. Lawrence (CoRR, 2018)

Multi-task learning for subthalamic nucleus identification in deep brain stimulation. - Hernán Darío Vargas Cardona; Mauricio A. Álvarez; Álvaro Orozco (Int. J. Mach. Learn. Cybern., 2018)

Non-linear process convolutions for multi-output Gaussian processes. - Mauricio A. Álvarez; Wil O. C. Ward; Cristian Guarnizo (AISTATS, 2019)

Sparse Gaussian Process Audio Source Separation Using Spectrum Priors in the Time-domain. - Pablo A. Alvarado; Mauricio A. Álvarez; Dan Stowell (ICASSP, 2019)

Multi-task Learning for Aggregated Data using Gaussian Processes. - Fariba Yousefi; Michael Thomas Smith; Mauricio A. Álvarez (NeurIPS, 2019)

Variational bridge constructs for approximate Gaussian process regression. - Wil O. C. Ward; Mauricio A. Álvarez (CoRR, 2019)

Variational Bridge Constructs for Grey Box Modelling with Gaussian Processes. - Wil O. C. Ward; Tom Ryder; Dennis Prangle; Mauricio A. Álvarez (CoRR, 2019)

Continual Multi-task Gaussian Processes. - Pablo Moreno-Muñoz; Antonio Artés-Rodríguez; Mauricio A. Álvarez (CoRR, 2019)

A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multi-Output Gaussian Process Model. - Juan-José Giraldo; Mauricio A. Álvarez (CoRR, 2019)

Machine Learning for a Low-cost Air Pollution Network. - Michael T. Smith 003; Joel Ssematimba; Mauricio A. Álvarez; Engineer Bainomugisha (CoRR, 2019)

Tensor decomposition processes for interpolation of diffusion magnetic resonance imaging. - Hernán Darío Vargas Cardona; Álvaro Á. Orozco; Andrés M. Álvarez; Mauricio A. Álvarez (Expert Syst. Appl., 2019)

Gaussian Process Latent Force Models for Learning and Stochastic Control of Physical Systems. - Simo Särkkä; Mauricio A. Álvarez; Neil D. Lawrence (IEEE Trans. Autom. Control., 2019)

Switched Latent Force Models for Reverse-Engineering Transcriptional Regulation in Gene Expression Data. - Andrés F. López-Lopera; Mauricio A. Álvarez (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Black-Box Inference for Non-Linear Latent Force Models. - Wil O. C. Ward; Tom Ryder; Dennis Prangle; Mauricio A. Álvarez (AISTATS, 2020)

Multi-task Causal Learning with Gaussian Processes. - Virginia Aglietti; Theodoros Damoulas; Mauricio A. Álvarez; Javier González 002 (NeurIPS, 2020)

Recyclable Gaussian Processes. - Pablo Moreno-Muñoz; Antonio Artés-Rodríguez; Mauricio A. Álvarez (CoRR, 2020)

Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features. - Thomas M. McDonald 001; Mauricio A. Álvarez (NeurIPS, 2021)

Modular Gaussian Processes for Transfer Learning. - Pablo Moreno-Muñoz; Antonio Artés-Rodríguez; Mauricio A. Álvarez (NeurIPS, 2021)

Learning Nonparametric Volterra Kernels with Gaussian Processes. - Magnus Ross; Michael T. Smith 003; Mauricio A. Álvarez (NeurIPS, 2021)

Differentially Private Regression and Classification with Sparse Gaussian Processes. - Michael Thomas Smith; Mauricio A. Álvarez; Neil D. Lawrence (J. Mach. Learn. Res., 2021)

Physically-Inspired Gaussian Process Models for Post-Transcriptional Regulation in Drosophila. - Andrés F. López-Lopera; Nicolas Durrande; Mauricio A. Álvarez (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder. - Matthew Lyon; Paul A. Armitage; Mauricio A. Álvarez (MIDL, 2022)

Adjoint-aided inference of Gaussian process driven differential equations. - Paterne Gahungu; Christopher W. Lanyon; Mauricio A. Álvarez; Engineer Bainomugisha; Michael T. Smith 003; Richard Wilkinson (NeurIPS, 2022)

Modelling calibration uncertainty in networks of environmental sensors. - Michael Thomas Smith; Magnus Ross; Joel Ssematimba; Pablo A. Alvarado; Mauricio A. Álvarez; Engineer Bainomugisha; Richard Wilkinson (CoRR, 2022)

Shallow and Deep Nonparametric Convolutions for Gaussian Processes. - Thomas M. McDonald 001; Magnus Ross; Michael T. Smith 003; Mauricio A. Álvarez (CoRR, 2022)

Correlated Chained Gaussian Processes for Modelling Citizens Mobility Using a Zero-Inflated Poisson Likelihood. - Juan-José Giraldo; Jie Zhang 003; Mauricio A. Álvarez (IEEE Trans. Intell. Transp. Syst., 2022)

A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multioutput Gaussian Process Model. - Juan-José Giraldo; Mauricio A. Álvarez (IEEE Trans. Neural Networks Learn. Syst., 2022)

Nonparametric Gaussian Process Covariances via Multidimensional Convolutions. - Thomas M. McDonald 001; Magnus Ross; Michael T. Smith 003; Mauricio A. Álvarez (AISTATS, 2023)

Spatio-Angular Convolutions for Super-resolution in Diffusion MRI. - Matthew Lyon; Paul A. 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 Peter Deisenroth; João Paulo Pordeus Gomes; Diego Mesquita; César Lincoln C. Mattos (NeurIPS, 2023)

Latent Variable Multi-output Gaussian Processes for Hierarchical Datasets. - Chunchao Ma; Arthur Leroy; Mauricio A. Álvarez (CoRR, 2023)

Deep Latent Force Models: ODE-based Process Convolutions for Bayesian Deep Learning. - Thomas Baldwin-McDonald; Mauricio A. Álvarez (CoRR, 2023)

Longitudinal prediction of DNA methylation to forecast epigenetic outcomes. - Arthur Leroy; Ai Ling Teh; Frank Dondelinger; Mauricio A. Álvarez; Dennis Wang (CoRR, 2023)

Adversarial vulnerability bounds for Gaussian process classification. - Michael Thomas Smith; Kathrin Grosse; Michael Backes 001; Mauricio A. Álvarez (Mach. Learn., 2023)

Large scale multi-output multi-class classification using Gaussian processes. - Chunchao Ma; Mauricio A. Álvarez (Mach. Learn., 2023)

Correlated Chained Gaussian Processes for Datasets With Multiple Annotators. - Julián Gil González; Juan-José Giraldo; Andrés Marino Álvarez-Meza; Álvaro-Ángel Orozco-Gutiérrez; Mauricio A. Álvarez (IEEE Trans. Neural Networks Learn. Syst., 2023)

Probabilistic Correspondence Analysis in Pediatric Health by Using Variational Mixture Models. - Hernán F. García; Gloria Liliana Porras-Hurtado; Augusto E. Salazar-Jimenez; Eliana M. Vasquez Osorio; Mauricio A. Álvarez (EMBC, 2024)

Diagnosis of Cervical Cancer Using a Deep Learning Explainable Fusion Model. - Andrés Bueno-Crespo; Raquel Martínez-España; Juan Morales-García; Ana Ortiz-González; Baldomero Imbernón; José Martínez-Más; Daniel Rosique-Egea; Mauricio A. Álvarez (IWINAC (2), 2024)

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

Segmentation Techniques Applied to CNNs for Cervical Cancer Classification. - Ana Ortiz-González; Raquel Martínez-España; Juan Morales-García; Baldomero Imbernón; José Martínez-Más; Mauricio A. Álvarez; Oscar David Romero; Juan-Pedro Martínez-Cendán; Andrés Bueno-Crespo (IEEE Access, 2025)

Scalable Multi-Output Gaussian Processes with Stochastic Variational Inference. - Xiaoyu Jiang; Sokratia Georgaka; Magnus Rattray; Mauricio A. Álvarez (Trans. Mach. Learn. Res., 2025)

Gradient-based Sample Selection for Faster Bayesian Optimization. - Qiyu Wei; Haowei Wang; Zirui Cao; Songhao Wang; Richard Allmendinger 001; Mauricio A. Álvarez (CoRR, 2025)

Neighbour-Driven Gaussian Process Variational Autoencoders for Scalable Structured Latent Modelling. - Xinxing Shi; Xiaoyu Jiang; Mauricio A. Álvarez (CoRR, 2025)

Deep latent force models: ODE-based process convolutions for Bayesian deep learning. - Thomas Baldwin-McDonald; Xinxing Shi; Mingxin Shen; Mauricio A. Álvarez (Mach. Learn., 2025)