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2020 – today
- 2024
[j58]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: 92622-92634 (2024)- [j57]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): 4902 (2024) - [j56]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: 1-11 (2024) - 2023
- [j55]Fernando Llorente, Luca Martino, David Delgado:
Target-aware Bayesian inference via generalized thermodynamic integration. Comput. Stat. 38(4): 2097-2119 (2023) - [j54]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: 104103 (2023) - [j53]Luca Martino, Roberto San Millán-Castillo, Eduardo Morgado:
Spectral information criterion for automatic elbow detection. Expert Syst. Appl. 231: 120705 (2023) - [j52]Víctor Elvira, Emilie Chouzenoux, Ömer Deniz Akyildiz, Luca Martino:
Gradient-based adaptive importance samplers. J. Frankl. Inst. 360(13): 9490-9514 (2023) - [j51]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): 921-937 (2023) - [j50]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): 3-58 (2023) - [j49]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: 1-10 (2023) - [d1]Jorge Vicent Servera, Luca Martino, Jochem Verrelst, Gustau Camps-Valls:
Multi-fidelity Gaussian Process Emulation for Atmospheric Radiative Transfer Models. Zenodo, 2023
- [i28]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 abs/2308.09102 (2023) - [i27]Luca Martino, Roberto San Millán-Castillo, Eduardo Morgado:
Spectral information criterion for automatic elbow detection. CoRR abs/2308.09108 (2023) - 2022
- [j48]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): 3610 (2022) - [j47]Fernando Llorente, Luca Martino, Jesse Read, David Delgado-Gómez:
Optimality in noisy importance sampling. Signal Process. 194: 108455 (2022) - [j46]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: 2460-2474 (2022) - [j45]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: 1-10 (2022) - [j44]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: 1-15 (2022) - [c51]Mohamed Alami Chehboune, Rim Kaddah, Luca Martino, Fernando Llorente, Jesse Read:
CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies. EUSIPCO 2022: 1482-1486 - [c50]Fernando Llorente, Ernesto Curbelo, Luca Martino, Pablo M. Olmos, David Delgado:
Safe importance sampling based on partial posteriors and neural variational approximations. EUSIPCO 2022: 2021-2025 - [i26]Fernando Llorente, Luca Martino, Jesse Read, David Delgado-Gómez:
Optimality in Noisy Importance Sampling. CoRR abs/2201.02432 (2022) - [i25]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 abs/2204.03346 (2022) - [i24]Mohamed Alami Chehboune, Fernando Llorente, Rim Kaddah, Luca Martino, Jesse Read:
CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies. CoRR abs/2205.09433 (2022) - [i23]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 abs/2207.12743 (2022) - 2021
- [j43]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: 103104 (2021) - [j42]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: 17-38 (2021) - [j41]Luca Martino, Víctor Elvira:
Compressed Monte Carlo with application in particle filtering. Inf. Sci. 553: 331-352 (2021) - [j40]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): 287 (2021) - [j39]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): 2607-2621 (2021) - [j38]Víctor Elvira, Luca Martino, Pau Closas:
Importance Gaussian Quadrature. IEEE Trans. Signal Process. 69: 474-488 (2021) - [c49]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: 1057-1060 - [c48]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: 2086-2089 - [c47]Fernando Llorente, Luca Martino, Víctor Elvira, David Delgado:
A Nearest Neighbors Quadrature for Posterior Approximation via Adaptive Sequential Design. SSP 2021: 301-305 - [i22]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 abs/2104.08134 (2021) - [i21]Fernando Llorente, Ernesto Curbelo, Luca Martino, Victor Elvira, David Delgado:
MCMC-driven importance samplers. CoRR abs/2105.02579 (2021) - [i20]Luca Martino, Víctor Elvira:
Compressed Monte Carlo with application in particle filtering. CoRR abs/2107.08459 (2021) - [i19]Luca Martino, Víctor Elvira, Javier López-Santiago, Gustau Camps-Valls:
Compressed particle methods for expensive models with application in Astronomy and Remote Sensing. CoRR abs/2107.08465 (2021) - [i18]Luca Martino, Fernando Llorente, Ernesto Curbelo, Javier López-Santiago, Joaquín Míguez:
Automatic tempered posterior distributions for Bayesian inversion problems. CoRR abs/2107.11614 (2021) - [i17]David Luengo, Luca Martino, Mónica F. Bugallo, Victor Elvira, Simo Särkkä:
A Survey of Monte Carlo Methods for Parameter Estimation. CoRR abs/2107.11820 (2021) - [i16]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 abs/2108.00490 (2021) - 2020
- [j37]Fernando Llorente-Fernández, Luca Martino, Victor Elvira, David Delgado, Javier López-Santiago:
Adaptive Quadrature Schemes for Bayesian Inference via Active Learning. IEEE Access 8: 208462-208483 (2020) - [j36]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): 25 (2020) - [j35]Jesse Read, Luca Martino:
Probabilistic regressor chains with Monte Carlo methods. Neurocomputing 413: 471-486 (2020) - [j34]Daniel Heestermans Svendsen, Luca Martino, Gustau Camps-Valls:
Active emulation of computer codes with Gaussian processes - Application to remote sensing. Pattern Recognit. 100: 107103 (2020) - [j33]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): 2151 (2020) - [c46]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: 855-859 - [c45]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: 2373-2377 - [c44]Luca Martino, Daniel Heestermans Svendsen, Jorge Vicent, Gustau Camps-Valls:
Adaptive Sequential Interpolator Using Active Learning for Efficient Emulation of Complex Systems. ICASSP 2020: 3577-3581 - [c43]Luca Martino, Víctor Elvira, Gustau Camps-Valls:
Particle Group Metropolis Methods for Tracking the Leaf Area Index. ICASSP 2020: 5865-5869 - [i15]Fernando Llorente, Luca Martino, David Delgado, Javier López-Santiago:
Marginal likelihood computation for model selection and hypothesis testing: an extensive review. CoRR abs/2005.08334 (2020) - [i14]Fernando Llorente, Luca Martino, Víctor Elvira, David Delgado, Javier López-Santiago:
Adaptive quadrature schemes for Bayesian inference via active learning. CoRR abs/2006.00535 (2020) - [i13]Luca Martino, Jesse Read:
Joint introduction to Gaussian Processes and Relevance Vector Machines with Connections to Kalman filtering and other Kernel Smoothers. CoRR abs/2009.09217 (2020) - [i12]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 abs/2010.09031 (2020) - [i11]Fernando Llorente, Luca Martino, David Delgado, Gustau Camps-Valls:
Deep Importance Sampling based on Regression for Model Inversion and Emulation. CoRR abs/2010.10346 (2020) - [i10]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 abs/2012.04598 (2020)
2010 – 2019
- 2019
- [j32]Luca Martino, Francisco Louzada:
Adaptive rejection sampling with fixed number of nodes. Commun. Stat. Simul. Comput. 48(3): 655-665 (2019) - [j31]Luca Martino, David Luengo:
Extremely efficient acceptance-rejection method for simulating uncorrelated Nakagami fading channels. Commun. Stat. Simul. Comput. 48(6): 1798-1814 (2019) - [j30]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): 412 (2019) - [j29]Fernando Llorente, Luca Martino, David Delgado:
Parallel Metropolis-Hastings Coupler. IEEE Signal Process. Lett. 26(6): 953-957 (2019) - [j28]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): 145-152 (2019) - [j27]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): 1040-1048 (2019) - [c42]Samuel Rey, Victor Tenorio, Sergio Rozada, Luca Martino, Antonio G. Marques:
Deep Encoder-Decoder Neural Network Architectures for Graph Output Signals. ACSSC 2019: 225-229 - [c41]Yousef El-Laham, Luca Martino, Víctor Elvira, Mónica F. Bugallo:
Efficient Adaptive Multiple Importance Sampling. EUSIPCO 2019: 1-5 - [c40]Victor Elvira, Pau Closas, Luca Martino:
Gauss-Hermite Quadrature for non-Gaussian Inference via an Importance Sampling Interpretation. EUSIPCO 2019: 1-5 - [c39]Alexis Mouche, François Soulat, Pierre Potin, Luca Martino:
Sentinel-1 Contribution To Tropical Cyclones Observations At High Resolution. IGARSS 2019: 5472-5475 - [i9]Jesse Read, Luca Martino:
Probabilistic Regressor Chains with Monte Carlo Methods. CoRR abs/1907.08087 (2019) - [i8]Daniel Heestermans Svendsen, Luca Martino, Gustau Camps-Valls:
Active emulation of computer codes with Gaussian processes - Application to remote sensing. CoRR abs/1912.06552 (2019) - 2018
- [j26]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: 69-82 (2018) - [j25]Luca Martino, Víctor Elvira, Gustau Camps-Valls:
The Recycling Gibbs sampler for efficient learning. Digit. Signal Process. 74: 1-13 (2018) - [j24]Luca Martino:
A review of multiple try MCMC algorithms for signal processing. Digit. Signal Process. 75: 134-152 (2018) - [j23]David Luengo, Luca Martino, Víctor Elvira, Mónica F. Bugallo:
Efficient linear fusion of partial estimators. Digit. Signal Process. 78: 265-283 (2018) - [j22]Luca Martino, Víctor Elvira, Gustau Camps-Valls:
Group Importance Sampling for particle filtering and MCMC. Digit. Signal Process. 82: 133-151 (2018) - [j21]Luca Martino, Roberto Casarin, Fabrizio Leisen, David Luengo:
Adaptive independent sticky MCMC algorithms. EURASIP J. Adv. Signal Process. 2018: 5 (2018) - [j20]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): 1718-1727 (2018) - [c38]Victor Elvira, Luca Martino, Mónica F. Bugallo, Petar M. Djuric:
In Search for Improved Auxiliary Particle Filters. EUSIPCO 2018: 1637-1641 - [c37]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: 349-352 - [c36]Daniel Heestermans Svendsen, Luca Martino, Jorge Vicent, Gustau Camps-Valls:
Multioutput Automatic Emulator for Radiative Transfer Models. IGARSS 2018: 4019-4022 - [c35]Luca Martino, Victor Elvira, Gustau Camps-Valls:
Distributed Particle Metropolis-Hastings Schemes. SSP 2018: 553-557 - [c34]Luca Martino, Victor Elvira, Joaquín Míguez, Antonio Artés-Rodríguez, Petar M. Djuric:
A Comparison Of Clipping Strategies For Importance Sampling. SSP 2018: 558-562 - 2017
- [j19]Luca Martino, Francisco Louzada:
Issues in the Multiple Try Metropolis mixing. Comput. Stat. 32(1): 239-252 (2017) - [j18]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: 172-185 (2017) - [j17]Jesse Read, Luca Martino, Jaakko Hollmén:
Multi-label methods for prediction with sequential data. Pattern Recognit. 63: 45-55 (2017) - [j16]Luca Martino, Victor Elvira, David Luengo, Jukka Corander:
Layered adaptive importance sampling. Stat. Comput. 27(3): 599-623 (2017) - [j15]Víctor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo:
Improving population Monte Carlo: Alternative weighting and resampling schemes. Signal Process. 131: 77-91 (2017) - [j14]Luca Martino, Víctor Elvira, Francisco Louzada:
Effective sample size for importance sampling based on discrepancy measures. Signal Process. 131: 386-401 (2017) - [j13]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): 60-79 (2017) - [c33]Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo:
Population Monte Carlo schemes with reduced path degeneracy. CAMSAP 2017: 1-5 - [c32]Luca Martino, Victor Elvira, Gustau Camps-Valls:
Recycling Gibbs sampling. EUSIPCO 2017: 171-175 - [c31]Luca Martino, Victor Elvira, Gustau Camps-Valls:
Group metropolis sampling. EUSIPCO 2017: 201-205 - [c30]Luca Martino, Valero Laparra, Gustau Camps-Valls:
Probabilistic cross-validation estimators for Gaussian process regression. EUSIPCO 2017: 823-827 - [c29]Luca Martino, Victor Elvira, David Luengo:
Anti-tempered layered adaptive importance sampling. DSP 2017: 1-5 - [c28]Luca Martino, Jorge Vicent, Gustau Camps-Valls:
Automatic emulator and optimized look-up table generation for radiative transfer models. IGARSS 2017: 1457-1460 - [c27]Daniel Heestermans Svendsen, Luca Martino, Manuel Campos-Taberner, Gustau Camps-Valls:
Joint Gaussian processes for inverse modeling. IGARSS 2017: 3980-3983 - [c26]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: 205-217 - [c25]Luca Martino, Jorge Vicent, Gustau Camps-Valls:
Automatic Emulation by Adaptive Relevance Vector Machines. SCIA (1) 2017: 443-454 - [i7]Luca Martino, Victor Elvira, Gustau Camps-Valls:
Group Importance Sampling for Particle Filtering and MCMC. CoRR abs/1704.02771 (2017) - [i6]Daniel Heestermans Svendsen, Luca Martino, Manuel Campos-Taberner, Francisco Javier García-Haro, Gustau Camps-Valls:
Joint Gaussian Processes for Biophysical Parameter Retrieval. CoRR abs/1711.05197 (2017) - 2016
- [j12]Luca Martino, Víctor Elvira, David Luengo, Jukka Corander, Francisco Louzada:
Orthogonal parallel MCMC methods for sampling and optimization. Digit. Signal Process. 58: 64-84 (2016) - [j11]Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo:
Heretical Multiple Importance Sampling. IEEE Signal Process. Lett. 23(10): 1474-1478 (2016) - [c24]Mónica F. Bugallo, Victor Elvira, Luca Martino:
A new strategy for effective learning in population Monte Carlo sampling. ACSSC 2016: 1540-1544 - [c23]Luca Martino, Victor Elvira, David Luengo, Francisco Louzada:
Parallel metropolis chains with cooperative adaptation. ICASSP 2016: 3974-3978 - [c22]Luca Martino, Victor Elvira, David Luengo, Francisco Louzada:
Adaptive population importance samplers: A general perspective. SAM 2016: 1-5 - [c21]Luca Martino, Jorge Plata-Chaves, Francisco Louzada:
A Monte Carlo scheme for node-specific inference over wireless sensor networks. SAM 2016: 1-5 - [c20]Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo:
Multiple importance sampling with overlapping sets of proposals. SSP 2016: 1-5 - [c19]Luca Martino, Roberto Casarin, David Luengo:
Sticky proposal densities for adaptive MCMC methods. SSP 2016: 1-5 - [c18]Luca Martino, Victor Elvira, Francisco Louzada:
Weighting a resampled particle in Sequential Monte Carlo. SSP 2016: 1-5 - [c17]Luca Martino, Victor Elvira, Francisco Louzada:
Alternative effective sample size measures for importance sampling. SSP 2016: 1-5 - [i5]Jesse Read, Luca Martino, Jaakko Hollmén:
Multi-label Methods for Prediction with Sequential Data. CoRR abs/1609.08349 (2016) - [i4]Luca Martino, Victor Elvira, Gustau Camps-Valls:
The Recycling Gibbs Sampler for Efficient Learning. CoRR abs/1611.07056 (2016) - 2015
- [j10]Mónica F. Bugallo, Luca Martino, Jukka Corander:
Adaptive importance sampling in signal processing. Digit. Signal Process. 47: 36-49 (2015) - [j9]Luca Martino, H. Yang, David Luengo, Juho Kanniainen, Jukka Corander:
A fast universal self-tuned sampler within Gibbs sampling. Digit. Signal Process. 47: 68-83 (2015) - [j8]Jesse Read, Luca Martino, Pablo M. Olmos, David Luengo:
Scalable multi-output label prediction: From classifier chains to classifier trellises. Pattern Recognit. 48(6): 2096-2109 (2015) - [j7]Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo:
Efficient Multiple Importance Sampling Estimators. IEEE Signal Process. Lett. 22(10): 1757-1761 (2015) - [j6]Luca Martino, Jesse Read, David Luengo:
Independent Doubly Adaptive Rejection Metropolis Sampling Within Gibbs Sampling. IEEE Trans. Signal Process. 63(12): 3123-3138 (2015) - [j5]Luca Martino, Victor Elvira, David Luengo, Jukka Corander:
An Adaptive Population Importance Sampler: Learning From Uncertainty. IEEE Trans. Signal Process. 63(16): 4422-4437 (2015) - [c16]Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo:
On sample generation and weight calculation in multiple importance sampling. ACSSC 2015: 1709-1713 - [c15]David Luengo, Luca Martino, Victor Elvira, Mónica F. Bugallo:
Bias correction for distributed Bayesian estimators. CAMSAP 2015: 253-256 - [c14]Luca Martino, Victor Elvira, David Luengo, Jukka Corander:
Parallel interacting Markov adaptive importance sampling. EUSIPCO 2015: 499-503 - [c13]Luca Martino, Víctor Elvira, David Luengo, Antonio Artés-Rodríguez, Jukka Corander:
Smelly parallel MCMC chains. ICASSP 2015: 4070-4074 - [c12]Víctor Elvira, Luca Martino, David Luengo, Jukka Corander:
A gradient adaptive population importance sampler. ICASSP 2015: 4075-4079 - [c11]David Luengo, Luca Martino, Víctor Elvira, Mónica F. Bugallo:
Efficient linear combination of partial Monte Carlo estimators. ICASSP 2015: 4100-4104 - [i3]Jesse Read, Luca Martino, Pablo M. Olmos, David Luengo:
Scalable Multi-Output Label Prediction: From Classifier Chains to Classifier Trellises. CoRR abs/1501.04870 (2015) - [i2]Luca Martino, Victor Elvira, David Luengo, Jukka Corander:
Layered Adaptive Importance Sampling. CoRR abs/1505.04732 (2015) - 2014
- [j4]Jesse Read, Luca Martino, David Luengo:
Efficient monte carlo methods for multi-dimensional learning with classifier chains. Pattern Recognit. 47(3): 1535-1546 (2014) - [c10]Luca Martino, Jesse Read, David Luengo:
Independent doubly Adaptive Rejection Metropolis Sampling. ICASSP 2014: 7998-8002 - [c9]Luca Martino, Victor Elvira, David Luengo, Jukka Corander:
An adaptive population importance sampler. ICASSP 2014: 8038-8042 - [c8]David Luengo, David Oses, Luca Martino:
Monte Carlo limit cycle characterization. ICASSP 2014: 8043-8047 - [c7]Luca Martino, Victor Elvira, David Luengo, Antonio Artés-Rodríguez, Jukka Corander:
Orthogonal MCMC algorithms. SSP 2014: 364-367 - 2013
- [j3]Luca Martino, Jesse Read:
On the flexibility of the design of multiple try Metropolis schemes. Comput. Stat. 28(6): 2797-2823 (2013) - [c6]Jesse Read, Luca Martino, David Luengo:
Efficient monte carlo optimization for multi-label classifier chains. ICASSP 2013: 3457-3461 - [c5]David Luengo, Luca Martino:
Fully adaptive Gaussian mixture Metropolis-Hastings algorithm. ICASSP 2013: 6148-6152 - 2012
- [i1]Jesse Read, Luca Martino, David Luengo:
Efficient Monte Carlo Optimization for Multi-label Classifier Chains. CoRR abs/1211.2190 (2012) - 2011
- [j2]Luca Martino, Joaquín Míguez:
A generalization of the adaptive rejection sampling algorithm. Stat. Comput. 21(4): 633-647 (2011) - 2010
- [j1]Luca Martino, Joaquín Míguez:
Generalized rejection sampling schemes and applications in signal processing. Signal Process. 90(11): 2981-2995 (2010) - [c4]Luca Martino, Joaquín Míguez:
A rejection sampling scheme for posterior probability distributions via the ratio-of-uniforms method. EUSIPCO 2010: 174-178
2000 – 2009
- 2009
- [c3]Katrin Achutegui, Luca Martino, Javier Rodas, Carlos J. Escudero, Joaquín Míguez:
A multi-model particle filtering algorithm for indoor tracking of mobile terminals using RSS data. CCA/ISIC 2009: 1702-1707 - [c2]Luca Martino, Joaquín Míguez:
New accept/reject methods for independent sampling from posterior probability distributions. EUSIPCO 2009: 1057-1061 - [c1]Luca Martino, Joaquín Míguez:
A novel rejection sampling scheme for posterior probability distributions. ICASSP 2009: 2921-2924
Coauthor Index
Gustau Camps-Valls
aka: Gustavo Camps-Valls
aka: Gustavo Camps-Valls
Victor Elvira
aka: Víctor Elvira
aka: Víctor Elvira
[j52] [j41] [j39] [j38] [c47] [i21] [i20] [i19] [i17] [j37] [j36] [c43] [i14] [j28] [c41] [c40] [j25] [j23] [j22] [c38] [c35] [c34] [j18] [j16] [j15] [j14] [j13] [c33] [c32] [c31] [c29] [i7] [j12] [j11] [c24] [c23] [c22] [c20] [c18] [c17] [i4] [j7] [j5] [c16] [c15] [c14] [c13] [c12] [c11] [i2] [c9] [c7]
Fernando Llorente 0001
aka: Fernando Llorente-Fernández
aka: Fernando Llorente-Fernández
Daniel H. Svendsen
aka: Daniel Heestermans Svendsen
aka: Daniel Heestermans Svendsen
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