Luca Martino

Juan Pablo Rivera Caicedo

Jochem Verrelst

IEEE Trans. Geosci. Remote. Sens., 2024

2023

Target-aware Bayesian inference via generalized thermodynamic integration.

[BibT_eX]

[DOI]

Comput. Stat., December, 2023

Spectral information criterion for automatic elbow detection.

[BibT_eX]

[DOI]

Roberto San Millán-Castillo

Eduardo Morgado

Expert Syst. Appl., November, 2023

Gradient-based adaptive importance samplers.

[BibT_eX]

[DOI]

J. Frankl. Inst., September, 2023

Universal and automatic elbow detection for learning the effective number of components in model selection problems.

[BibT_eX]

[DOI]

Eduardo Morgado

Roberto San Millán-Castillo

Digit. Signal Process., August, 2023

Inference over radiative transfer models using variational and expectation maximization methods.

[BibT_eX]

[DOI]

Daniel Hernández-Lobato

Mach. Learn., March, 2023

Marginal Likelihood Computation for Model Selection and Hypothesis Testing: An Extensive Review.

[BibT_eX]

[DOI]

SIAM Rev., February, 2023

Multifidelity Gaussian Process Emulation for Atmospheric Radiative Transfer Models.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

2022

Integrating Domain Knowledge in Data-Driven Earth Observation With Process Convolutions.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Retrieval of Physical Parameters With Deep Structured Kernel Regression.

[BibT_eX]

[DOI]

Roberto San Millán-Castillo

Jordi Muñoz-Marí

IEEE Trans. Geosci. Remote. Sens., 2022

An Exhaustive Variable Selection Study for Linear Models of Soundscape Emotions: Rankings and Gibbs Analysis.

[BibT_eX]

[DOI]

Eduardo Morgado

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Optimality in noisy importance sampling.

[BibT_eX]

[DOI]

Signal Process., 2022

Design and Characterization of an RF Applicator for In Vitro Tests of Electromagnetic Hyperthermia.

[BibT_eX]

[DOI]

Sensors, 2022

Safe importance sampling based on partial posteriors and neural variational approximations.

[BibT_eX]

[DOI]

Proceedings of the 30th European Signal Processing Conference, 2022

CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies.

[BibT_eX]

[DOI]

Mohamed Alami Chehboune

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Importance Gaussian Quadrature.

[BibT_eX]

[DOI]

Pau Closas

IEEE Trans. Signal Process., 2021

Compressed Particle Methods for Expensive Models With Application in Astronomy and Remote Sensing.

[BibT_eX]

[DOI]

Juan Pablo Rivera Caicedo

IEEE Trans. Aerosp. Electron. Syst., 2021

A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data.

[BibT_eX]

[DOI]

Katja Berger

Remote. Sens., 2021

Compressed Monte Carlo with application in particle filtering.

[BibT_eX]

[DOI]

Inf. Sci., 2021

A joint introduction to Gaussian Processes and Relevance Vector Machines with connections to Kalman filtering and other kernel smoothers.

[BibT_eX]

[DOI]

Inf. Fusion, 2021

Deep importance sampling based on regression for model inversion and emulation.

[BibT_eX]

[DOI]

Digit. Signal Process., 2021

A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning.

[BibT_eX]

[DOI]

CoRR, 2021

Automatic tempered posterior distributions for Bayesian inversion problems.

[BibT_eX]

[DOI]

Ernesto Curbelo

CoRR, 2021

MCMC-driven importance samplers.

[BibT_eX]

[DOI]

CoRR, 2021

A Nearest Neighbors Quadrature for Posterior Approximation via Adaptive Sequential Design.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Cyclone Monitoring with Sentinel-1: Service Demonstration.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Physics-Aware Machine Learning for Geosciences and Remote Sensing.

[BibT_eX]

[DOI]

Daniel H. Svendsen

Jordi Cortés-Andrés

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Specific Loss Power of Co/Li/Zn-Mixed Ferrite Powders for Magnetic Hyperthermia.

[BibT_eX]

[DOI]

Sensors, 2020

Active emulation of computer codes with Gaussian processes - Application to remote sensing.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

Probabilistic regressor chains with Monte Carlo methods.

[BibT_eX]

[DOI]

Neurocomputing, 2020

A survey of Monte Carlo methods for parameter estimation.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2020

Gradient-based Automatic Look-Up Table Generator for Atmospheric Radiative Transfer Models.

[BibT_eX]

[DOI]

CoRR, 2020

Living in the Physics and Machine Learning Interplay for Earth Observation.

[BibT_eX]

[DOI]

Daniel H. Svendsen

Jordi Cortés-Andrés

Fernando Llorente-Fernández

CoRR, 2020

Adaptive Quadrature Schemes for Bayesian Inference via Active Learning.

[BibT_eX]

[DOI]

IEEE Access, 2020

Adaptive Sequential Interpolator Using Active Learning for Efficient Emulation of Complex Systems.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Particle Group Metropolis Methods for Tracking the Leaf Area Index.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Overparametrized Deep Encoder-Decoder Schemes for Inputs and Outputs Defined over Graphs.

[BibT_eX]

[DOI]

Proceedings of the 28th European Signal Processing Conference, 2020

On the computation of marginal likelihood via MCMC for model selection and hypothesis testing.

[BibT_eX]

[DOI]

David Delgado-Gómez

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Gradient-Based Automatic Lookup Table Generator for Radiative Transfer Models.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2019

Elucidating the Auxiliary Particle Filter via Multiple Importance Sampling [Lecture Notes].

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2019

Parallel Metropolis-Hastings Coupler.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2019

Geosystemics View of Earthquakes.

[BibT_eX]

[DOI]

Angelo De Santis

Cristoforo Abbattista

Giorgiana De Franceschi

Anna De Santis

Rita Di Giovambattista

Entropy, 2019

Extremely efficient acceptance-rejection method for simulating uncorrelated Nakagami fading channels.

[BibT_eX]

[DOI]

Commun. Stat. Simul. Comput., 2019

Adaptive rejection sampling with fixed number of nodes.

[BibT_eX]

[DOI]

Commun. Stat. Simul. Comput., 2019

Sentinel-1 Contribution To Tropical Cyclones Observations At High Resolution.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Gauss-Hermite Quadrature for non-Gaussian Inference via an Importance Sampling Interpretation.

[BibT_eX]

[DOI]

Pau Closas

Proceedings of the 27th European Signal Processing Conference, 2019

Efficient Adaptive Multiple Importance Sampling.

[BibT_eX]

[DOI]

Proceedings of the 27th European Signal Processing Conference, 2019

Deep Encoder-Decoder Neural Network Architectures for Graph Output Signals.

[BibT_eX]

[DOI]

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Joint Gaussian Processes for Biophysical Parameter Retrieval.

[BibT_eX]

[DOI]

Francisco Javier García-Haro

IEEE Trans. Geosci. Remote. Sens., 2018

Adaptive independent sticky MCMC algorithms.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2018

Group Importance Sampling for particle filtering and MCMC.

[BibT_eX]

[DOI]

Digit. Signal Process., 2018

The Recycling Gibbs sampler for efficient learning.

[BibT_eX]

[DOI]

Digit. Signal Process., 2018

A review of multiple try MCMC algorithms for signal processing.

[BibT_eX]

[DOI]

Digit. Signal Process., 2018

Efficient linear fusion of partial estimators.

[BibT_eX]

[DOI]

Digit. Signal Process., 2018

Physics-aware Gaussian processes in remote sensing.

[BibT_eX]

[DOI]

Daniel H. Svendsen

Jordi Muñoz-Marí

Francisco Javier García-Haro

Appl. Soft Comput., 2018

A Comparison Of Clipping Strategies For Importance Sampling.

[BibT_eX]

[DOI]

Antonio Artés-Rodríguez

Petar M. Djuric

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Distributed Particle Metropolis-Hastings Schemes.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Multioutput Automatic Emulator for Radiative Transfer Models.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Interpolation and Gap Filling of Landsat Reflectance Time Series.

[BibT_eX]

[DOI]

Marco P. Maneta

Nathaniel P. Robinson

Brady W. Allred

Steven W. Running

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

In Search for Improved Auxiliary Particle Filters.

[BibT_eX]

[DOI]

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Adaptive Importance Sampling: The past, the present, and the future.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2017

Effective sample size for importance sampling based on discrepancy measures.

[BibT_eX]

[DOI]

Signal Process., 2017

Improving population Monte Carlo: Alternative weighting and resampling schemes.

[BibT_eX]

[DOI]

Signal Process., 2017

Layered adaptive importance sampling.

[BibT_eX]

[DOI]

Stat. Comput., 2017

Multi-label methods for prediction with sequential data.

[BibT_eX]

[DOI]

Jaakko Hollmén

Pattern Recognit., 2017

Cooperative parallel particle filters for online model selection and applications to urban mobility.

[BibT_eX]

[DOI]

Digit. Signal Process., 2017

Issues in the Multiple Try Metropolis mixing.

[BibT_eX]

[DOI]

Comput. Stat., 2017

Automatic Emulation by Adaptive Relevance Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

Physics-Aware Gaussian Processes for Earth Observation.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

Joint Gaussian processes for inverse modeling.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Automatic emulator and optimized look-up table generation for radiative transfer models.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Anti-tempered layered adaptive importance sampling.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Probabilistic cross-validation estimators for Gaussian process regression.

[BibT_eX]

[DOI]

Proceedings of the 25th European Signal Processing Conference, 2017

Group metropolis sampling.

[BibT_eX]

[DOI]

Proceedings of the 25th European Signal Processing Conference, 2017

Recycling Gibbs sampling.

[BibT_eX]

[DOI]

Proceedings of the 25th European Signal Processing Conference, 2017

Population Monte Carlo schemes with reduced path degeneracy.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

Heretical Multiple Importance Sampling.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2016

Orthogonal parallel MCMC methods for sampling and optimization.

[BibT_eX]

[DOI]

Digit. Signal Process., 2016

Alternative effective sample size measures for importance sampling.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Weighting a resampled particle in Sequential Monte Carlo.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Sticky proposal densities for adaptive MCMC methods.

[BibT_eX]

[DOI]

Roberto Casarin

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Multiple importance sampling with overlapping sets of proposals.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

A Monte Carlo scheme for node-specific inference over wireless sensor networks.

[BibT_eX]

[DOI]

Jorge Plata-Chaves

Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Adaptive population importance samplers: A general perspective.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Parallel metropolis chains with cooperative adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

A new strategy for effective learning in population Monte Carlo sampling.

[BibT_eX]

[DOI]

Mónica F. Bugallo

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Independent Doubly Adaptive Rejection Metropolis Sampling Within Gibbs Sampling.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

An Adaptive Population Importance Sampler: Learning From Uncertainty.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

Efficient Multiple Importance Sampling Estimators.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2015

Scalable multi-output label prediction: From classifier chains to classifier trellises.

[BibT_eX]

[DOI]

Pattern Recognit., 2015

A fast universal self-tuned sampler within Gibbs sampling.

[BibT_eX]

[DOI]

Digit. Signal Process., 2015

Adaptive importance sampling in signal processing.

[BibT_eX]

[DOI]

Mónica F. Bugallo

Jukka Corander

Digit. Signal Process., 2015

Smelly parallel MCMC chains.

[BibT_eX]

[DOI]

Antonio Artés-Rodríguez

Jukka Corander

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Efficient linear combination of partial Monte Carlo estimators.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A gradient adaptive population importance sampler.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Parallel interacting Markov adaptive importance sampling.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Signal Processing Conference, 2015

Bias correction for distributed Bayesian estimators.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

On sample generation and weight calculation in multiple importance sampling.

[BibT_eX]

[DOI]

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014

Efficient monte carlo methods for multi-dimensional learning with classifier chains.

[BibT_eX]

[DOI]

Pattern Recognit., 2014

Orthogonal MCMC algorithms.

[BibT_eX]

[DOI]

Antonio Artés-Rodríguez

Jukka Corander

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Independent doubly Adaptive Rejection Metropolis Sampling.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

An adaptive population importance sampler.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Monte Carlo limit cycle characterization.

[BibT_eX]

[DOI]

David Oses

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

On the flexibility of the design of multiple try Metropolis schemes.

[BibT_eX]

[DOI]

Comput. Stat., 2013

Efficient monte carlo optimization for multi-label classifier chains.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

Fully adaptive Gaussian mixture Metropolis-Hastings algorithm.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

2011

A generalization of the adaptive rejection sampling algorithm.

[BibT_eX]

[DOI]

Stat. Comput., 2011

2010

Generalized rejection sampling schemes and applications in signal processing.

[BibT_eX]

[DOI]

Signal Process., 2010

A rejection sampling scheme for posterior probability distributions via the ratio-of-uniforms method.

[BibT_eX]

[DOI]

Proceedings of the 18th European Signal Processing Conference, 2010

2009

A novel rejection sampling scheme for posterior probability distributions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2009

New accept/reject methods for independent sampling from posterior probability distributions.

[BibT_eX]

[DOI]