Luca Martino

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 108

Top Venues

CoRR

EUSIPCO

Digit. Signal Process.

ICASSP

Publications

Roberto San Millán-Castillo, Luca Martino, Eduardo Morgado
A Variable Selection Analysis for Soundscape Emotion Modeling Using Decision Tree Regression and Modern Information Criteria. IEEE Access 12 (2024)
Jorge Vicent Servera, Luca Martino, Jochem Verrelst, Juan Pablo Rivera Caicedo, Gustau Camps-Valls
Multioutput Feature Selection for Emulation and Sensitivity Analysis. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Gabriele Barrera, Federica Celegato, Marta Vassallo, Daniele Martella, Marco Coisson, Elena Olivetti, Luca Martino, Hüseyin Sözeri, Alessandra Manzin, Paola Tiberto
Microfluidic Detection of SPIONs and Co-Ferrite Ferrofluid Using Amorphous Wire Magneto-Impedance Sensor. Sensors 24 (15) (2024)
Víctor Elvira, Émilie Chouzenoux, Ömer Deniz Akyildiz, Luca Martino
Gradient-based adaptive importance samplers. J. Frankl. Inst. 360 (13) (2023)
Fernando Llorente, Luca Martino, David Delgado, Javier López-Santiago
Marginal Likelihood Computation for Model Selection and Hypothesis Testing: An Extensive Review. SIAM Rev. 65 (1) (2023)
Luca Martino, Roberto San Millán-Castillo, Eduardo Morgado
Spectral information criterion for automatic elbow detection. Expert Syst. Appl. 231 (2023)
Jorge Vicent Servera, Luca Martino, Jochem Verrelst, Gustau Camps-Valls
Multifidelity Gaussian Process Emulation for Atmospheric Radiative Transfer Models. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Luca Martino, Roberto San Millán-Castillo, Eduardo Morgado
Spectral information criterion for automatic elbow detection. CoRR (2023)
Fernando Llorente, Luca Martino, David Delgado
Target-aware Bayesian inference via generalized thermodynamic integration. Comput. Stat. 38 (4) (2023)
Daniel Heestermans Svendsen, Daniel Hernández-Lobato, Luca Martino, Valero Laparra, Álvaro Moreno-Martínez, Gustau Camps-Valls
Inference over radiative transfer models using variational and expectation maximization methods. Mach. Learn. 112 (3) (2023)
Eduardo Morgado, Luca Martino, Roberto San Millán-Castillo
Universal and automatic elbow detection for learning the effective number of components in model selection problems. Digit. Signal Process. 140 (2023)
Eduardo Morgado, Luca Martino, Roberto San Millán-Castillo
Universal and Automatic Elbow Detection for Learning the Effective Number of Components in Model Selection Problems. CoRR (2023)
Roberto San Millán-Castillo, Luca Martino, Eduardo Morgado, Fernando Llorente
An Exhaustive Variable Selection Study for Linear Models of Soundscape Emotions: Rankings and Gibbs Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Mohamed Alami Chehboune, Fernando Llorente, Rim Kaddah, Luca Martino, Jesse Read
CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies. CoRR (2022)
Gustau Camps-Valls, Manuel Campos-Taberner, Valero Laparra, Luca Martino, Jordi Muñoz-Marí
Retrieval of Physical Parameters With Deep Structured Kernel Regression. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Daniel Heestermans Svendsen, Maria Piles, Jordi Muñoz-Marí, David Luengo, Luca Martino, Gustau Camps-Valls
Integrating Domain Knowledge in Data-Driven Earth Observation With Process Convolutions. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Fernando Llorente, Luca Martino, Jesse Read, David Delgado-Gómez
Optimality in noisy importance sampling. Signal Process. 194 (2022)
Fernando Llorente, Luca Martino, Jesse Read, David Delgado-Gómez
Optimality in Noisy Importance Sampling. CoRR (2022)
Riccardo Ferrero, Ioannis Androulakis, Luca Martino, Robin Nadar, Gerard C. Van Rhoon, Alessandra Manzin
Design and Characterization of an RF Applicator for In Vitro Tests of Electromagnetic Hyperthermia. Sensors 22 (10) (2022)
Daniel Heestermans Svendsen, Daniel Hernández-Lobato, Luca Martino, Valero Laparra, Álvaro Moreno, Gustau Camps-Valls
Inference over radiative transfer models using variational and expectation maximization methods. CoRR (2022)
Fernando Llorente, Ernesto Curbelo, Luca Martino, Pablo M. Olmos, David Delgado
Safe importance sampling based on partial posteriors and neural variational approximations. EUSIPCO (2022)
Mohamed Alami Chehboune, Rim Kaddah, Luca Martino, Fernando Llorente, Jesse Read
CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies. EUSIPCO (2022)
Roberto San Millán-Castillo, Luca Martino, Eduardo Morgado, Fernando Llorente
An exhaustive variable selection study for linear models of soundscape emotions: rankings and Gibbs analysis. CoRR (2022)
David Luengo, Luca Martino, Mónica F. Bugallo, Victor Elvira, Simo Särkkä
A Survey of Monte Carlo Methods for Parameter Estimation. CoRR (2021)
Luca Martino, Víctor Elvira
Compressed Monte Carlo with application in particle filtering. Inf. Sci. 553 (2021)
Víctor Elvira, Luca Martino, Pau Closas
Importance Gaussian Quadrature. IEEE Trans. Signal Process. 69 (2021)
Fernando Llorente, Luca Martino, David Delgado-Gómez, Gustavo Camps-Valls
Deep importance sampling based on regression for model inversion and emulation. Digit. Signal Process. 116 (2021)
Fernando Llorente, Luca Martino, Víctor Elvira, David Delgado
A Nearest Neighbors Quadrature for Posterior Approximation via Adaptive Sequential Design. SSP (2021)
Luca Martino, Víctor Elvira
Compressed Monte Carlo with application in particle filtering. CoRR (2021)
Romain Husson, Alexis Mouche, Nicolas Longépé, Olivier Archer, Gaël Goimard, Emina Mamaca, Henrick Berger, François Soulat, Marie-Hélène Rio, Luca Martino, Pierre Potin
Cyclone Monitoring with Sentinel-1: Service Demonstration. IGARSS (2021)
Luca Martino, Víctor Elvira, Javier López-Santiago, Gustau Camps-Valls
Compressed Particle Methods for Expensive Models With Application in Astronomy and Remote Sensing. IEEE Trans. Aerosp. Electron. Syst. 57 (5) (2021)
Luca Martino, Víctor Elvira, Javier López-Santiago, Gustau Camps-Valls
Compressed particle methods for expensive models with application in Astronomy and Remote Sensing. CoRR (2021)
Katja Berger, Juan Pablo Rivera Caicedo, Luca Martino, Matthias Wocher, Tobias Hank, Jochem Verrelst
A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data. Remote. Sens. 13 (2) (2021)
Daniel Heestermans Svendsen, Maria Piles, Jordi Muñoz-Marí, David Luengo, Luca Martino, Gustau Camps-Valls
Integrating Domain Knowledge in Data-driven Earth Observation with Process Convolutions. CoRR (2021)
Luca Martino, Jesse Read
A joint introduction to Gaussian Processes and Relevance Vector Machines with connections to Kalman filtering and other kernel smoothers. Inf. Fusion 74 (2021)
Fernando Llorente, E. Curbelo, Luca Martino, Victor Elvira, David Delgado
MCMC-driven importance samplers. CoRR (2021)
Luca Martino, Fernando Llorente, E. Curbelo, Javier López-Santiago, Joaquín Míguez
Automatic tempered posterior distributions for Bayesian inversion problems. CoRR (2021)
Fernando Llorente, Luca Martino, Jessa Read, David Delgado
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning. CoRR (2021)
Gustau Camps-Valls, Daniel H. Svendsen, Jordi Cortés-Andrés, Álvaro Moreno-Martínez, Adrián Pérez-Suay, José E. Adsuara, Irene Martín, Maria Piles, Jordi Muñoz-Marí, Luca Martino
Physics-Aware Machine Learning for Geosciences and Remote Sensing. IGARSS (2021)
Samuel Rey, Victor Tenorio, Sergio Rozada, Luca Martino, Antonio G. Marques
Overparametrized Deep Encoder-Decoder Schemes for Inputs and Outputs Defined over Graphs. EUSIPCO (2020)
Jesse Read, Luca Martino
Probabilistic regressor chains with Monte Carlo methods. Neurocomputing 413 (2020)
Fernando Llorente, Luca Martino, David Delgado, Javier López-Santiago
Marginal likelihood computation for model selection and hypothesis testing: an extensive review. CoRR (2020)
Gustau Camps-Valls, Daniel H. Svendsen, Jordi Cortés-Andrés, Álvaro Moreno-Martínez, Adrián Pérez-Suay, José E. Adsuara, Irene Martín, Maria Piles, Jordi Muñoz-Marí, Luca Martino
Living in the Physics and Machine Learning Interplay for Earth Observation. CoRR (2020)
Fernando Llorente, Luca Martino, Víctor Elvira, David Delgado, Javier López-Santiago
Adaptive quadrature schemes for Bayesian inference via active learning. CoRR (2020)
Fernando Llorente-Fernández, Luca Martino, Victor Elvira, David Delgado, Javier López-Santiago
Adaptive Quadrature Schemes for Bayesian Inference via Active Learning. IEEE Access 8 (2020)
David Luengo, Luca Martino, Mónica F. Bugallo, Víctor Elvira, Simo Särkkä
A survey of Monte Carlo methods for parameter estimation. EURASIP J. Adv. Signal Process. 2020 (1) (2020)
Jorge Vicent, Luis Alonso, Luca Martino, Neus Sabater, Jochem Verrelst, Gustau Camps-Valls
Gradient-based Automatic Look-Up Table Generator for Atmospheric Radiative Transfer Models. CoRR (2020)
Fernando Llorente, Luca Martino, David Delgado-Gómez, Javier López-Santiago
On the computation of marginal likelihood via MCMC for model selection and hypothesis testing. EUSIPCO (2020)
Luca Martino, Jesse Read
Joint introduction to Gaussian Processes and Relevance Vector Machines with Connections to Kalman filtering and other Kernel Smoothers. CoRR (2020)
Luca Martino, Víctor Elvira, Gustau Camps-Valls
Particle Group Metropolis Methods for Tracking the Leaf Area Index. ICASSP (2020)
Gabriele Barrera, Marco Coisson, Federica Celegato, Luca Martino, Priyanka Tiwari, Roshni Verma, Shashank N. Kane, Frédéric Mazaleyrat, Paola Tiberto
Specific Loss Power of Co/Li/Zn-Mixed Ferrite Powders for Magnetic Hyperthermia. Sensors 20 (7) (2020)
Luca Martino, Daniel Heestermans Svendsen, Jorge Vicent, Gustau Camps-Valls
Adaptive Sequential Interpolator Using Active Learning for Efficient Emulation of Complex Systems. ICASSP (2020)
Daniel Heestermans Svendsen, Luca Martino, Gustau Camps-Valls
Active emulation of computer codes with Gaussian processes - Application to remote sensing. Pattern Recognit. 100 (2020)
Fernando Llorente, Luca Martino, David Delgado, Gustau Camps-Valls
Deep Importance Sampling based on Regression for Model Inversion and Emulation. CoRR (2020)
Fernando Llorente, Luca Martino, David Delgado
Parallel Metropolis-Hastings Coupler. IEEE Signal Process. Lett. 26 (6) (2019)
Samuel Rey, Victor Tenorio, Sergio Rozada, Luca Martino, Antonio G. Marques
Deep Encoder-Decoder Neural Network Architectures for Graph Output Signals. ACSSC (2019)
Luca Martino, Francisco Louzada
Adaptive rejection sampling with fixed number of nodes. Commun. Stat. Simul. Comput. 48 (3) (2019)
Victor Elvira, Luca Martino, Mónica F. Bugallo, Petar M. Djuric
Elucidating the Auxiliary Particle Filter via Multiple Importance Sampling [Lecture Notes]. IEEE Signal Process. Mag. 36 (6) (2019)
Alexis Mouche, François Soulat, Pierre Potin, Luca Martino
Sentinel-1 Contribution To Tropical Cyclones Observations At High Resolution. IGARSS (2019)
Daniel Heestermans Svendsen, Luca Martino, Gustau Camps-Valls
Active emulation of computer codes with Gaussian processes - Application to remote sensing. CoRR (2019)
Jorge Vicent Servera, Luis Alonso, Luca Martino, Neus Sabater, Jochem Verrelst, Gustau Camps-Valls, José F. Moreno
Gradient-Based Automatic Lookup Table Generator for Radiative Transfer Models. IEEE Trans. Geosci. Remote. Sens. 57 (2) (2019)
Angelo De Santis, Cristoforo Abbattista, Lucilla Alfonsi, Leonardo Amoruso, Saioa A. Campuzano, Marianna Carbone, Claudio Cesaroni, Gianfranco Cianchini, Giorgiana De Franceschi, Anna De Santis, Rita Di Giovambattista, Dedalo Marchetti, Luca Martino, Loredana Perrone, Alessandro Piscini, Mario Luigi Rainone, Maurizio Soldani, Luca Spogli, Francesca Santoro
Geosystemics View of Earthquakes. Entropy 21 (4) (2019)
Luca Martino, David Luengo
Extremely efficient acceptance-rejection method for simulating uncorrelated Nakagami fading channels. Commun. Stat. Simul. Comput. 48 (6) (2019)
Jesse Read, Luca Martino
Probabilistic Regressor Chains with Monte Carlo Methods. CoRR (2019)
Yousef El-Laham, Luca Martino, Víctor Elvira, Mónica F. Bugallo
Efficient Adaptive Multiple Importance Sampling. EUSIPCO (2019)
Victor Elvira, Pau Closas, Luca Martino
Gauss-Hermite Quadrature for non-Gaussian Inference via an Importance Sampling Interpretation. EUSIPCO (2019)
Luca Martino, Roberto Casarin, Fabrizio Leisen, David Luengo
Adaptive independent sticky MCMC algorithms. EURASIP J. Adv. Signal Process. 2018 (2018)
Daniel Heestermans Svendsen, Luca Martino, Manuel Campos-Taberner, Francisco Javier García-Haro, Gustau Camps-Valls
Joint Gaussian Processes for Biophysical Parameter Retrieval. IEEE Trans. Geosci. Remote. Sens. 56 (3) (2018)
Luca Martino
A review of multiple try MCMC algorithms for signal processing. Digit. Signal Process. 75 (2018)
David Luengo, Luca Martino, Víctor Elvira, Mónica F. Bugallo
Efficient linear fusion of partial estimators. Digit. Signal Process. 78 (2018)
Luca Martino, Víctor Elvira, Gustau Camps-Valls
The Recycling Gibbs sampler for efficient learning. Digit. Signal Process. 74 (2018)
Victor Elvira, Luca Martino, Mónica F. Bugallo, Petar M. Djuric
In Search for Improved Auxiliary Particle Filters. EUSIPCO (2018)
Daniel Heestermans Svendsen, Luca Martino, Jorge Vicent, Gustau Camps-Valls
Multioutput Automatic Emulator for Radiative Transfer Models. IGARSS (2018)
Luca Martino, Víctor Elvira, Gustau Camps-Valls
Group Importance Sampling for particle filtering and MCMC. Digit. Signal Process. 82 (2018)
Luca Martino, Victor Elvira, Gustau Camps-Valls
Distributed Particle Metropolis-Hastings Schemes. SSP (2018)
Luca Martino, Victor Elvira, Joaquín Míguez, Antonio Artés-Rodríguez, Petar M. Djuric
A Comparison Of Clipping Strategies For Importance Sampling. SSP (2018)
Gustau Camps-Valls, Luca Martino, Daniel H. Svendsen, Manuel Campos-Taberner, Jordi Muñoz-Marí, Valero Laparra, David Luengo, Francisco Javier García-Haro
Physics-aware Gaussian processes in remote sensing. Appl. Soft Comput. 68 (2018)
Álvaro Moreno-Martínez, Marco P. Maneta, Gustau Camps-Valls, Luca Martino, Nathaniel P. Robinson, Brady W. Allred, Steven W. Running
Interpolation and Gap Filling of Landsat Reflectance Time Series. IGARSS (2018)
Luca Martino, Francisco Louzada
Issues in the Multiple Try Metropolis mixing. Comput. Stat. 32 (1) (2017)
Gustau Camps-Valls, Daniel H. Svendsen, Luca Martino, Jordi Muñoz-Marí, Valero Laparra, Manuel Campos-Taberner, David Luengo
Physics-Aware Gaussian Processes for Earth Observation. SCIA (2) (2017)
Luca Martino, Víctor Elvira, Francisco Louzada
Effective sample size for importance sampling based on discrepancy measures. Signal Process. 131 (2017)
Luca Martino, Valero Laparra, Gustau Camps-Valls
Probabilistic cross-validation estimators for Gaussian process regression. EUSIPCO (2017)
Luca Martino, Jesse Read, Víctor Elvira, Francisco Louzada
Cooperative parallel particle filters for online model selection and applications to urban mobility. Digit. Signal Process. 60 (2017)
Luca Martino, Victor Elvira, Gustau Camps-Valls
Group metropolis sampling. EUSIPCO (2017)
Luca Martino, Jorge Vicent, Gustau Camps-Valls
Automatic Emulation by Adaptive Relevance Vector Machines. SCIA (1) (2017)
Daniel Heestermans Svendsen, Luca Martino, Manuel Campos-Taberner, Gustau Camps-Valls
Joint Gaussian processes for inverse modeling. IGARSS (2017)
Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
Population Monte Carlo schemes with reduced path degeneracy. CAMSAP (2017)
Mónica F. Bugallo, Victor Elvira, Luca Martino, David Luengo, Joaquín Míguez, Petar M. Djuric
Adaptive Importance Sampling: The past, the present, and the future. IEEE Signal Process. Mag. 34 (4) (2017)
Jesse Read, Luca Martino, Jaakko Hollmén
Multi-label methods for prediction with sequential data. Pattern Recognit. 63 (2017)
Luca Martino, Victor Elvira, Gustau Camps-Valls
Recycling Gibbs sampling. EUSIPCO (2017)
Daniel Heestermans Svendsen, Luca Martino, Manuel Campos-Taberner, Francisco Javier García-Haro, Gustau Camps-Valls
Joint Gaussian Processes for Biophysical Parameter Retrieval. CoRR (2017)
Víctor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
Improving population Monte Carlo: Alternative weighting and resampling schemes. Signal Process. 131 (2017)
Luca Martino, Victor Elvira, David Luengo, Jukka Corander
Layered adaptive importance sampling. Stat. Comput. 27 (3) (2017)
Luca Martino, Jorge Vicent, Gustau Camps-Valls
Automatic emulator and optimized look-up table generation for radiative transfer models. IGARSS (2017)
Luca Martino, Victor Elvira, David Luengo
Anti-tempered layered adaptive importance sampling. DSP (2017)
Luca Martino, Victor Elvira, Gustau Camps-Valls
Group Importance Sampling for Particle Filtering and MCMC. CoRR (2017)
Luca Martino, Víctor Elvira, David Luengo, Jukka Corander, Francisco Louzada
Orthogonal parallel MCMC methods for sampling and optimization. Digit. Signal Process. 58 (2016)
Luca Martino, Jorge Plata-Chaves, Francisco Louzada
A Monte Carlo scheme for node-specific inference over wireless sensor networks. SAM (2016)
Luca Martino, Victor Elvira, David Luengo, Francisco Louzada
Adaptive population importance samplers: A general perspective. SAM (2016)
Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
Multiple importance sampling with overlapping sets of proposals. SSP (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Luca Martino