Mauricio A. Álvarez

147 papers A* 10A 8C 15Misc 7Journal 63Unranked 43

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cross-Granularity Representations for Biological Sequences: Insights from ESM and BiGCARP. CoRR Hanlin Xiao, Rainer Breitling, Eriko Takano, Mauricio A. Álvarez
2026	J	`jnl`	Disentangling Similarity and Relatedness in Topic Models. CoRR Hanlin Xiao, Mauricio A. Álvarez, Rainer Breitling
2025	A	`conf`	Adaptive RKHS Fourier Features for Compositional Gaussian Process Models. AISTATS Xinxing Shi, Thomas Baldwin-McDonald, Mauricio A. Álvarez
2025	J	`jnl`	Counterfactual Credit Guided Bayesian Optimization. CoRR Qiyu Wei, Haowei Wang, Richard Allmendinger, Mauricio A. Álvarez
2025	—	`conf`	Cross-Granularity Representations for Biological Sequences: Insights From ESM and BiGCARP. BIBM Hanlin Xiao, Rainer Breitling, Eriko Takano, Mauricio A. Álvarez
2025	J	`jnl`	Deep latent force models: ODE-based process convolutions for Bayesian deep learning. Mach. Learn. Thomas Baldwin-McDonald, Xinxing Shi, Mingxin Shen, Mauricio A. Álvarez
2025	J	`jnl`	Efficient Multiview Nonlinear Correspondence With Variational GP Mixtures. IEEE Access Juan Pablo Velasquez-Minoli, Juan Jose Giraldo-Gutiérrez, David Augusto Cárdenas-Peña, Álvaro Á. Orozco, Mauricio A. Álvarez, Hernán F. García
2025	J	`jnl`	Gradient-based Sample Selection for Faster Bayesian Optimization. CoRR Qiyu Wei, Haowei Wang, Zirui Cao, Songhao Wang, Richard Allmendinger, Mauricio A. Álvarez
2025	A*	`conf`	Neighbour-Driven Gaussian Process Variational Autoencoders for Scalable Structured Latent Modelling. ICML Xinxing Shi, Xiaoyu Jiang, Mauricio A. Álvarez
2025	J	`jnl`	Neighbour-Driven Gaussian Process Variational Autoencoders for Scalable Structured Latent Modelling. CoRR Xinxing Shi, Xiaoyu Jiang, Mauricio A. Álvarez
2025	J	`jnl`	Scalable Multi-Output Gaussian Processes with Stochastic Variational Inference. Trans. Mach. Learn. Res. Xiaoyu Jiang, Sokratia Georgaka, Magnus Rattray, Mauricio A. Álvarez
2025	J	`jnl`	Segmentation Techniques Applied to CNNs for Cervical Cancer Classification. IEEE Access 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
2025	J	`jnl`	Towards Gaussian processes modelling to study the late effects of radiotherapy in children and young adults with brain tumours. CoRR Angela Davey, Arthur Leroy, Eliana M. Vasquez Osorio, Kate Vaughan, Peter Clayton, Marcel van Herk, Mauricio A. Álvarez, Martin McCabe, Marianne Aznar
2024	J	`jnl`	Adaptive RKHS Fourier Features for Compositional Gaussian Process Models. CoRR Xinxing Shi, Thomas Baldwin-McDonald, Mauricio A. Álvarez
2024	—	`conf`	Diagnosis of Cervical Cancer Using a Deep Learning Explainable Fusion Model. IWINAC (2) Andrés Bueno-Crespo, Raquel Martínez-España, Juan Morales-García, Ana Ortiz-González, Baldomero Imbernón, José Martínez-Más, Daniel Rosique-Egea, Mauricio A. Álvarez
2024	—	`conf`	Probabilistic Correspondence Analysis in Pediatric Health by Using Variational Mixture Models. EMBC Hernán F. García, Gloria Liliana Porras-Hurtado, Augusto E. Salazar-Jimenez, Eliana M. Vasquez Osorio, Mauricio A. Álvarez
2024	J	`jnl`	Scalable Multi-Output Gaussian Processes with Stochastic Variational Inference. CoRR Xiaoyu Jiang, Sokratia Georgaka, Magnus Rattray, Mauricio A. Álvarez
2023	J	`jnl`	Adversarial vulnerability bounds for Gaussian process classification. Mach. Learn. Michael Thomas Smith, Kathrin Grosse, Michael Backes, Mauricio A. Álvarez
2023	J	`jnl`	Correlated Chained Gaussian Processes for Datasets With Multiple Annotators. IEEE Trans. Neural Networks Learn. Syst. Julián Gil González, Juan-José Giraldo, Andrés Marino Álvarez-Meza, Álvaro-Ángel Orozco-Gutiérrez, Mauricio A. Álvarez
2023	J	`jnl`	Deep Latent Force Models: ODE-based Process Convolutions for Bayesian Deep Learning. CoRR Thomas Baldwin-McDonald, Mauricio A. Álvarez
2023	J	`jnl`	Large scale multi-output multi-class classification using Gaussian processes. Mach. Learn. Chunchao Ma, Mauricio A. Álvarez
2023	J	`jnl`	Latent Variable Multi-output Gaussian Processes for Hierarchical Datasets. CoRR Chunchao Ma, Arthur Leroy, Mauricio A. Álvarez
2023	J	`jnl`	Longitudinal prediction of DNA methylation to forecast epigenetic outcomes. CoRR Arthur Leroy, Ai Ling Teh, Frank Dondelinger, Mauricio A. Álvarez, Dennis Wang
2023	A	`conf`	Nonparametric Gaussian Process Covariances via Multidimensional Convolutions. AISTATS Thomas M. McDonald, Magnus Ross, Michael T. Smith, Mauricio A. Álvarez
2023	A*	`conf`	Spatio-Angular Convolutions for Super-resolution in Diffusion MRI. NeurIPS Matthew Lyon, Paul A. Armitage, Mauricio A. Álvarez
2023	J	`jnl`	Spatio-Angular Convolutions for Super-resolution in Diffusion MRI. CoRR Matthew Lyon, Paul A. Armitage, Mauricio A. Álvarez
2023	J	`jnl`	Thin and Deep Gaussian Processes. CoRR 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
2023	A*	`conf`	Thin and deep Gaussian processes. NeurIPS 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
2022	J	`jnl`	A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multioutput Gaussian Process Model. IEEE Trans. Neural Networks Learn. Syst. Juan-José Giraldo, Mauricio A. Álvarez
2022	A*	`conf`	Adjoint-aided inference of Gaussian process driven differential equations. NeurIPS Paterne Gahungu, Christopher W. Lanyon, Mauricio A. Álvarez, Engineer Bainomugisha, Michael T. Smith, Richard Wilkinson
2022	J	`jnl`	Adjoint-aided inference of Gaussian process driven differential equations. CoRR Paterne Gahungu, Christopher W. Lanyon, Mauricio A. Álvarez, Engineer Bainomugisha, Michael T. Smith, Richard D. Wilkinson
2022	—	`conf`	Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder. MIDL Matthew Lyon, Paul A. Armitage, Mauricio A. Álvarez
2022	J	`jnl`	Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder. CoRR Matthew Lyon, Paul A. Armitage, Mauricio A. Álvarez
2022	J	`jnl`	Correlated Chained Gaussian Processes for Modelling Citizens Mobility Using a Zero-Inflated Poisson Likelihood. IEEE Trans. Intell. Transp. Syst. Juan-José Giraldo, Jie Zhang, Mauricio A. Álvarez
2022	J	`jnl`	Modelling calibration uncertainty in networks of environmental sensors. CoRR Michael Thomas Smith, Magnus Ross, Joel Ssematimba, Pablo A. Alvarado, Mauricio A. Álvarez, Engineer Bainomugisha, Richard Wilkinson
2022	J	`jnl`	Shallow and Deep Nonparametric Convolutions for Gaussian Processes. CoRR Thomas M. McDonald, Magnus Ross, Michael T. Smith, Mauricio A. Álvarez
2021	A*	`conf`	Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features. NeurIPS Thomas M. McDonald, Mauricio A. Álvarez
2021	J	`jnl`	Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features. CoRR Thomas M. McDonald, Mauricio A. Álvarez
2021	J	`jnl`	Differentially Private Regression and Classification with Sparse Gaussian Processes. J. Mach. Learn. Res. Michael Thomas Smith, Mauricio A. Álvarez, Neil D. Lawrence
2021	A*	`conf`	Learning Nonparametric Volterra Kernels with Gaussian Processes. NeurIPS Magnus Ross, Michael T. Smith, Mauricio A. Álvarez
2021	J	`jnl`	Learning Nonparametric Volterra Kernels with Gaussian Processes. CoRR Magnus Ross, Michael T. Smith, Mauricio A. Álvarez
2021	A*	`conf`	Modular Gaussian Processes for Transfer Learning. NeurIPS Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
2021	J	`jnl`	Modular Gaussian Processes for Transfer Learning. CoRR Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
2021	J	`jnl`	Physically-Inspired Gaussian Process Models for Post-Transcriptional Regulation in Drosophila. IEEE ACM Trans. Comput. Biol. Bioinform. Andrés F. López-Lopera, Nicolas Durrande, Mauricio A. Álvarez
2020	A	`conf`	Black-Box Inference for Non-Linear Latent Force Models. AISTATS Wil O. C. Ward, Tom Ryder, Dennis Prangle, Mauricio A. Álvarez
2020	A*	`conf`	Multi-task Causal Learning with Gaussian Processes. NeurIPS Virginia Aglietti, Theodoros Damoulas, Mauricio A. Álvarez, Javier González
2020	J	`jnl`	Multi-task Causal Learning with Gaussian Processes. CoRR Virginia Aglietti, Theodoros Damoulas, Mauricio A. Álvarez, Javier González
2020	J	`jnl`	Recyclable Gaussian Processes. CoRR Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
2019	J	`jnl`	A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multi-Output Gaussian Process Model. CoRR Juan-José Giraldo, Mauricio A. Álvarez
2019	J	`jnl`	Adversarial Vulnerability Bounds for Gaussian Process Classification. CoRR Michael Thomas Smith, Kathrin Grosse, Michael Backes, Mauricio A. Álvarez
2019	J	`jnl`	Continual Multi-task Gaussian Processes. CoRR Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
2019	J	`jnl`	Differentially Private Regression and Classification with Sparse Gaussian Processes. CoRR Michael Thomas Smith, Mauricio A. Álvarez, Neil D. Lawrence
2019	J	`jnl`	Gaussian Process Latent Force Models for Learning and Stochastic Control of Physical Systems. IEEE Trans. Autom. Control. Simo Särkkä, Mauricio A. Álvarez, Neil D. Lawrence
2019	J	`jnl`	Machine Learning for a Low-cost Air Pollution Network. CoRR Michael T. Smith, Joel Ssematimba, Mauricio A. Álvarez, Engineer Bainomugisha
2019	A*	`conf`	Multi-task Learning for Aggregated Data using Gaussian Processes. NeurIPS Fariba Yousefi, Michael Thomas Smith, Mauricio A. Álvarez
2019	J	`jnl`	Multi-task Learning for Aggregated Data using Gaussian Processes. CoRR Fariba Yousefi, Michael Thomas Smith, Mauricio A. Álvarez
2019	A	`conf`	Non-linear process convolutions for multi-output Gaussian processes. AISTATS Mauricio A. Álvarez, Wil O. C. Ward, Cristian Guarnizo
2019	Misc	`conf`	Sparse Gaussian Process Audio Source Separation Using Spectrum Priors in the Time-domain. ICASSP Pablo A. Alvarado, Mauricio A. Álvarez, Dan Stowell
2019	J	`jnl`	Switched Latent Force Models for Reverse-Engineering Transcriptional Regulation in Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. Andrés F. López-Lopera, Mauricio A. Álvarez
2019	J	`jnl`	Tensor decomposition processes for interpolation of diffusion magnetic resonance imaging. Expert Syst. Appl. Hernán Darío Vargas Cardona, Álvaro Á. Orozco, Andrés M. Álvarez, Mauricio A. Álvarez
2019	J	`jnl`	Variational Bridge Constructs for Grey Box Modelling with Gaussian Processes. CoRR Wil O. C. Ward, Tom Ryder, Dennis Prangle, Mauricio A. Álvarez
2019	J	`jnl`	Variational bridge constructs for approximate Gaussian process regression. CoRR Wil O. C. Ward, Mauricio A. Álvarez
2018	A	`conf`	Differentially Private Regression with Gaussian Processes. AISTATS Michael T. Smith, Mauricio A. Álvarez, Max Zwiessele, Neil D. Lawrence
2018	A	`conf`	Fast Kernel Approximations for Latent Force Models and Convolved Multiple-Output Gaussian processes. UAI Cristian Guarnizo, Mauricio A. Álvarez
2018	J	`jnl`	Fast Kernel Approximations for Latent Force Models and Convolved Multiple-Output Gaussian processes. CoRR Cristian Guarnizo, Mauricio A. Álvarez
2018	J	`jnl`	Gaussian Process Regression for Binned Data. CoRR Michael Thomas Smith, Mauricio A. Álvarez, Neil D. Lawrence
2018	A*	`conf`	Heterogeneous Multi-output Gaussian Process Prediction. NeurIPS Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
2018	J	`jnl`	Heterogeneous Multi-output Gaussian Process Prediction. CoRR Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
2018	C	`conf`	Information Potential Variability for Hyperparameter Selection in the MMD Distance. CIARP Cristhian K. Valencia, Andrés M. Álvarez, Edgar A. Valencia, Mauricio A. Álvarez, Álvaro Orozco
2018	J	`jnl`	Multi-task learning for subthalamic nucleus identification in deep brain stimulation. Int. J. Mach. Learn. Cybern. Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Álvaro Orozco
2018	J	`jnl`	Non-linear process convolutions for multi-output Gaussian processes. CoRR Mauricio A. Álvarez, Wil O. C. Ward, Cristian Guarnizo
2018	Misc	`conf`	Non-stationary Generalized Wishart Processes for Enhancing Resolution over Diffusion Tensor Fields. ISVC Jhon F. Cuellar-Fierro, Hernán Darío Vargas Cardona, Andrés M. Álvarez, Álvaro Á. Orozco, Mauricio A. Álvarez
2018	—	`conf`	Nonlinear Probabilistic Latent Variable Models for Groupwise Correspondence Analysis in Brain Structures. MLSP Hernán F. García, Álvaro Ángel Orozco, Mauricio A. Álvarez
2018	J	`jnl`	Physically-inspired Gaussian processes for transcriptional regulation in Drosophila melanogaster. CoRR Andrés F. López-Lopera, Nicolas Durrande, Mauricio A. Álvarez
2018	—	`conf`	Shape Classification Using Hilbert Space Embeddings and Kernel Adaptive Filtering. ICIAR J. S. Blandon, Cristhian K. Valencia, Andrés M. Álvarez, Julián David Echeverry, Mauricio A. Álvarez, Álvaro Orozco
2018	J	`jnl`	Sparse Gaussian process Audio Source Separation Using Spectrum Priors in the Time-Domain. CoRR Pablo A. Alvarado, Mauricio A. Álvarez, Dan Stowell
2017	J	`jnl`	Dynamic facial landmarking selection for emotion recognition using Gaussian processes. J. Multimodal User Interfaces Hernán F. García, Mauricio A. Álvarez, Álvaro Á. Orozco
2017	—	`conf`	Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes. NIPS Zhenwen Dai, Mauricio A. Álvarez, Neil D. Lawrence
2017	J	`jnl`	Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes. CoRR Zhenwen Dai, Mauricio A. Álvarez, Neil D. Lawrence
2017	J	`jnl`	Gaussian Process Latent Force Models for Learning and Stochastic Control of Physical Systems. CoRR Simo Särkkä, Mauricio A. Álvarez, Neil D. Lawrence
2017	C	`conf`	Impulse Response Estimation of Linear Time-Invariant Systems Using Convolved Gaussian Processes and Laguerre Functions. CIARP Cristian Guarnizo, Mauricio A. Álvarez
2017	C	`conf`	Non-stationary Multi-output Gaussian Processes for Enhancing Resolution over Diffusion Tensor Fields. CIARP Jhon F. Cuellar-Fierro, Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Andrés M. Álvarez, Álvaro Á. Orozco
2017	J	`jnl`	SVM-based feature selection methods for emotion recognition from multimodal data. J. Multimodal User Interfaces Cristian A. Torres-Valencia, Mauricio A. Álvarez, Álvaro Ángel Orozco-Guitiérrez
2017	J	`jnl`	Short-term time series prediction using Hilbert space embeddings of autoregressive processes. Neurocomputing Edgar A. Valencia, Mauricio A. Álvarez
2016	C	`conf`	A Hierarchical K-Nearest Neighbor Approach for Volume of Tissue Activated Estimation. CIARP Iván De La Pava, Juan Mejía, Andrés Álvarez-Meza, Mauricio A. Álvarez, Álvaro Ángel Orozco-Guitiérrez, Óscar Alberto Henao
2016	C	`conf`	A Kernel-Based Approach for DBS Parameter Estimation. CIARP Viviana Gómez-Orozco, Jhon F. Cuellar-Fierro, Hernán F. García, Andrés Álvarez, Mauricio A. Álvarez, Álvaro Orozco, Óscar Alberto Henao
2016	J	`jnl`	A Tucker decomposition process for probabilistic modeling of diffusion magnetic resonance imaging. CoRR Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Álvaro Á. Orozco
2016	—	`conf`	A probabilistic framework based on SLIC-superpixel and Gaussian processes for segmenting nerves in ultrasound images. EMBC Julián Gil González, Mauricio A. Álvarez, Álvaro Á. Orozco
2016	C	`conf`	Analysis of the Geometry and Electric Properties of Brain Tissue in Simulation Models for Deep Brain Stimulation. CIARP Hernán Darío Vargas Cardona, Álvaro Á. Orozco, Mauricio A. Álvarez
2016	—	`conf`	Approximate Probabilistic Power Flow. DARE@PKDD/ECML Carlos D. Zuluaga, Mauricio A. Álvarez
2016	C	`conf`	Bayesian Optimization for Fitting 3D Morphable Models of Brain Structures. CIARP Hernán F. García, Mauricio A. Álvarez, Álvaro Á. Orozco
2016	C	`conf`	Definition and Composition of Motor Primitives Using Latent Force Models and Hidden Markov Models. CIARP Diego Agudelo-España, Mauricio A. Álvarez, Álvaro Á. Orozco
2016	—	`conf`	Gaussian process dynamical models for multimodal affect recognition. EMBC Hernán F. García, Mauricio A. Álvarez, Álvaro Á. Orozco
2016	J	`jnl`	Generalized Wishart processes for interpolation over diffusion tensor fields. CoRR Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Álvaro Á. Orozco
2016	—	`conf`	Kernel temporal enhancement approach for LORETA source reconstruction using EEG data. EMBC Cristian A. Torres-Valencia, M. Claudia Joana Santamaria, Mauricio A. Álvarez
2016	—	`conf`	Multi-output Gaussian processes for enhancing resolution of diffusion tensor fields. EMBC Hernán Darío Vargas Cardona, Álvaro Á. Orozco, Mauricio A. Álvarez
2016	C	`conf`	Non-parametric Source Reconstruction via Kernel Temporal Enhancement for EEG Data. CIARP Cristian A. Torres-Valencia, J. A. Hernández-Muriel, Wilson González-Vanegas, Andrés Álvarez-Meza, Álvaro Ángel Orozco-Guitiérrez, Mauricio A. Álvarez
2016	C	`conf`	Sparse Linear Models Applied to Power Quality Disturbance Classification. CIARP Andrés F. López-Lopera, Mauricio A. Álvarez, Álvaro Á. Orozco
2016	C	`conf`	Spatial Resolution Enhancement in Ultrasound Images from Multiple Annotators Knowledge. CIARP Julián Gil González, Mauricio A. Álvarez, Álvaro Á. Orozco
2015	Misc	`conf`	A Gaussian Process Emulator for Estimating the Volume of Tissue Activated During Deep Brain Stimulation. IbPRIA Iván De La Pava, Viviana Gómez-Orozco, Mauricio A. Álvarez, Óscar Alberto Henao, Genaro Daza-Santacoloma, Álvaro Á. Orozco
2015	—	`conf`	A Parzen-Based Distance Between Probability Measures as an Alternative of Summary Statistics in Approximate Bayesian Computation. ICIAP (1) Carlos D. Zuluaga, Edgar A. Valencia, Mauricio A. Álvarez, Álvaro Á. Orozco
2015	—	`conf`	Automatic assessment of voice quality in the context of multiple annotations. EMBC Julián Gil González, Mauricio A. Álvarez, Álvaro Á. Orozco
2015	—	`conf`	Automatic segmentation of nerve structures in ultrasound images using Graph Cuts and Gaussian processes. EMBC Julián Gil González, Mauricio A. Álvarez, Álvaro Á. Orozco
2015	—	`conf`	Convolved Multi-output Gaussian Processes for Semi-Supervised Learning. ICIAP (1) Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Álvaro Á. Orozco
2015	C	`conf`	Discriminative Training for Convolved Multiple-Output Gaussian Processes. CIARP Sebastián Gómez-González, Mauricio A. Álvarez, Hernán F. García, Jorge I. Ríos, Álvaro Á. Orozco
2015	—	`conf`	Dynamic Hand Gesture Recognition Using Generalized Time Warping and Deep Belief Networks. ISVC (2) Cristian A. Torres-Valencia, Hernán F. García, Germán A. Holguín, Mauricio A. Álvarez, Álvaro Orozco
2015	C	`conf`	Fall Detection Algorithm Based on Thresholds and Residual Events. CIARP Fily Mateos Grisales-Franco, Jesús Francisco Vargas-Bonilla, Álvaro Ángel Orozco, Mauricio A. Álvarez, Germán Castellanos-Domínguez
2015	—	`conf`	Gaussian Processes for Slice-Based Super-Resolution MR Images. ISVC (2) Hernán Darío Vargas Cardona, Andrés F. López-Lopera, Álvaro Á. Orozco, Mauricio A. Álvarez, Juan Antonio Hernández Tamames, Norberto Malpica
2015	—	`conf`	Generalized Wishart Processes for Interpolation Over Diffusion Tensor Fields. ISVC (2) Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Álvaro Á. Orozco
2015	—	`conf`	Global and Local Gaussian Process for Multioutput and Treed Data. ICIAP (1) Jhouben J. Cuesta, Mauricio A. Álvarez, Álvaro Á. Orozco
2015	—	`conf`	Groupwise Shape Correspondences on 3D Brain Structures Using Probabilistic Latent Variable Models. ISVC (1) Hernán F. García, Mauricio A. Álvarez, Álvaro Orozco
2015	Misc	`conf`	Improving Diffusion Tensor Estimation Using Adaptive and Optimized Filtering Based on Local Similarity. IbPRIA Andrés F. López-Lopera, Mauricio A. Álvarez, Álvaro Á. Orozco
2015	C	`conf`	Indian Buffet Process for Model Selection in Latent Force Models. CIARP Cristian Guarnizo, Mauricio A. Álvarez, Álvaro Á. Orozco
2015	—	`conf`	Kernel Centered Alignment Supervised Metric for Multi-Atlas Segmentation. ICIAP (1) Mauricio Orbes-Arteaga, David Cárdenas-Peña, Mauricio A. Álvarez, Álvaro Á. Orozco, Germán Castellanos-Domínguez
2015	C	`conf`	Magnetic Resonance Image Selection for Multi-Atlas Segmentation Using Mixture Models. CIARP Mauricio Orbes-Arteaga, David Cárdenas-Peña, Mauricio A. Álvarez, Álvaro Á. Orozco, Germán Castellanos-Domínguez
2015	—	`conf`	NEURONAV: A Tool for Image-Guided Surgery - Application to Parkinson's Disease. ISVC (1) José Bestier Padilla, Ramiro Arango, Hernán F. García, Hernán Darío Vargas Cardona, Álvaro Á. Orozco, Mauricio A. Álvarez, Enrique Guijarro-Estellés
2015	Misc	`conf`	Peripheral Nerve Segmentation Using Speckle Removal and Bayesian Shape Models. IbPRIA Hernán F. García, Juan J. Giraldo, Mauricio A. Álvarez, Álvaro Á. Orozco, Diego Salazar
2015	Misc	`conf`	Peripheral Nerves Segmentation in Ultrasound Images Using Non-linear Wavelets and Gaussian Processes. IbPRIA Julián Gil González, Mauricio A. Álvarez, Álvaro Á. Orozco
2015	—	`conf`	Peripheral nerve segmentation using Nonparametric Bayesian Hierarchical Clustering. EMBC Juan J. Giraldo, Mauricio A. Álvarez, Álvaro Á. Orozco
2015	Misc	`conf`	Spatial-Dependent Similarity Metric Supporting Multi-atlas MRI Segmentation. IbPRIA Mauricio Orbes-Arteaga, David Cárdenas-Peña, Mauricio A. Álvarez, Álvaro Á. Orozco, Germán Castellanos-Domínguez
2014	—	`conf`	A latent force model for describing electric propagation in deep brain stimulation: A simulation study. EMBC Pablo A. Alvarado, Mauricio A. Álvarez, Genaro Daza-Santacoloma, Álvaro Orozco, Germán Castellanos-Domínguez
2014	—	`conf`	Automatic Recognition of Microcalcifications in Mammography Images through Fractal Texture Analysis. ISVC (2) Hernán Darío Vargas Cardona, Álvaro Orozco, Mauricio A. Álvarez
2014	—	`conf`	Bayesian Shape Models with Shape Priors for MRI Brain Segmentation. ISVC (2) Hernán F. García, Mauricio A. Álvarez, Álvaro Orozco
2014	—	`conf`	Gaussian Process Dynamical Models for Emotion Recognition. ISVC (2) Hernán F. García, Mauricio A. Álvarez, Álvaro Orozco
2014	—	`conf`	Latent force models for describing transcriptional regulation processes in the embryo development problem for the Drosophila melanogaster. EMBC Juan David Vasquez Jaramillo, Mauricio A. Álvarez, Álvaro Á. Orozco
2014	—	`conf`	Multiple-output support vector machine regression with feature selection for arousal/valence space emotion assessment. EMBC Cristian A. Torres-Valencia, Mauricio A. Álvarez, Álvaro Ángel Orozco-Guitiérrez
2014	—	`conf`	Sparse representation of MER signals for localizing the Subthalamic Nucleus in Parkinson's disease surgery. EMBC Hernán Darío Vargas Cardona, Mauricio A. Álvarez, Álvaro Ángel Orozco
2014	—	`conf`	Tensor-product kernel-based representation encoding joint MRI view similarity. EMBC Andrés Marino Álvarez-Meza, David Cárdenas-Peña, Andrés Eduardo Castro-Ospina, Mauricio A. Álvarez, Germán Castellanos-Domínguez
2013	—	`conf`	Dynamic physiological signal analysis based on Fisher kernels for emotion recognition. EMBC Hernán F. García, Álvaro Á. Orozco, Mauricio A. Álvarez
2013	—	`conf`	Feature selection for multimodal emotion recognition in the arousal-valence space. EMBC Cristian A. Torres-Valencia, Álvaro Á. Orozco, Mauricio A. Álvarez
2013	J	`jnl`	Linear Latent Force Models Using Gaussian Processes. IEEE Trans. Pattern Anal. Mach. Intell. Mauricio A. Álvarez, David Luengo, Neil D. Lawrence
2013	—	`conf`	Optimal sampling frequency in wavelet-based signal feature extraction using particle swarm optimization. EMBC Cristian Guarnizo, Álvaro Á. Orozco, Mauricio A. Álvarez
2013	—	`conf`	Unsupervised learning applied in MER and ECG signals through Gaussians mixtures with the Expectation-Maximization algorithm and Variational Bayesian Inference. EMBC Hernán Darío Vargas Cardona, Álvaro Ángel Orozco, Mauricio A. Álvarez
2012	J	`jnl`	Kernels for Vector-Valued Functions: A Review. Found. Trends Mach. Learn. Mauricio A. Álvarez, Lorenzo Rosasco, Neil D. Lawrence
2012	—	`conf`	Multi-patient learning increases accuracy for Subthalamic nucleus identification in deep brain stimulation. EMBC Hernán Darío Vargas Cardona, Álvaro Ángel Orozco, Mauricio A. Álvarez
2012	—	`conf`	NEUROZONE: On-line recognition of brain structures in stereotactic surgery - application to Parkinson's disease. EMBC Hernán Darío Vargas Cardona, José Bestier Padilla, Ramiro Arango, Hans Carmona, Mauricio A. Álvarez, Enrique Guijarro-Estellés, Álvaro Ángel Orozco
2011	J	`jnl`	Computationally Efficient Convolved Multiple Output Gaussian Processes. J. Mach. Learn. Res. Mauricio A. Álvarez, Neil D. Lawrence
2011	—	`—`	Convolved Gaussian process priors for multivariate regression with applications to dynamical systems. Mauricio A. Álvarez
2011	J	`jnl`	Kernels for Vector-Valued Functions: a Review CoRR Mauricio A. Álvarez, Lorenzo Rosasco, Neil D. Lawrence
2011	J	`jnl`	Linear Latent Force Models using Gaussian Processes CoRR Mauricio A. Álvarez, David Luengo, Neil D. Lawrence
2010	A	`conf`	Efficient Multioutput Gaussian Processes through Variational Inducing Kernels. AISTATS Mauricio A. Álvarez, David Luengo, Michalis K. Titsias, Neil D. Lawrence
2010	—	`conf`	Switched Latent Force Models for Movement Segmentation. NIPS Mauricio A. Álvarez, Jan Peters, Bernhard Schölkopf, Neil D. Lawrence
2009	A	`conf`	Latent Force Models. AISTATS Mauricio A. Álvarez, David Luengo, Neil D. Lawrence
2008	—	`conf`	Sparse Convolved Gaussian Processes for Multi-output Regression. NIPS Mauricio A. Álvarez, Neil D. Lawrence
2006	—	`conf`	Identification of Spike Sources using Proximity Analysis through Hidden Markov Models. EMBC Álvaro Ángel Orozco, Mauricio A. Álvarez, Enrique Guijarro-Estellés, Germán Castellanos-Domínguez
2006	—	`conf`	Kernel Principal Component Analysis through Time for Voice Disorder Classification. EMBC Mauricio A. Álvarez, Ricardo Henao, Germán Castellanos-Domínguez, Juan Ignacio Godino-Llorente, Álvaro Ángel Orozco
2006	—	`conf`	Probabilistic Kernel Principal Component Analysis Through Time. ICONIP (1) Mauricio A. Álvarez, Ricardo Henao