Artikel dengan mandat akses publik - Luca MartinoPelajari lebih lanjut
Tidak tersedia di mana pun: 7
Adaptive importance sampling: The past, the present, and the future
MF Bugallo, V Elvira, L Martino, D Luengo, J Miguez, PM Djuric
IEEE Signal Processing Magazine 34 (4), 60-79, 2017
Mandat: US National Science Foundation, US Department of Defense, European …
Weighting a resampled particle in Sequential Monte Carlo
L Martino, V Elvira, F Louzada
2016 IEEE Statistical Signal Processing Workshop (SSP), 1-5, 2016
Mandat: European Commission, Government of Spain
Population Monte Carlo schemes with reduced path degeneracy
V Elvira, L Martino, D Luengo, MF Bugallo
2017 IEEE 7th International Workshop on Computational Advances in Multi …, 2017
Mandat: US National Science Foundation, European Commission, Government of Spain
Physics-aware machine learning for geosciences and remote sensing
G Camps-Valls, DH Svendsen, J Cortés-Andrés, Á Mareno-Martínez, ...
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2086 …, 2021
Mandat: European Commission
Multifidelity Gaussian process emulation for atmospheric radiative transfer models
JV Servera, L Martino, J Verrelst, G Camps-Valls
IEEE Transactions on Geoscience and Remote Sensing 61, 1-10, 2023
Mandat: European Commission, Government of Spain
Multioutput feature selection for emulation and sensitivity analysis
JV Servera, L Martino, J Verrelst, JP Rivera-Caicedo, G Camps-Valls
IEEE Transactions on Geoscience and Remote Sensing 62, 1-11, 2024
Mandat: European Commission, Government of Spain
Retrieval of Physical Parameters With Deep Structured Kernel Regression
G Camps-Valls, M Campos-Taberner, V Laparra, L Martino, J Muñoz-Marí
IEEE Transactions on Geoscience and Remote Sensing 60, 1-10, 2022
Mandat: European Commission
Tersedia di suatu tempat: 92
A survey of Monte Carlo methods for parameter estimation
D Luengo, L Martino, M Bugallo, V Elvira, S Särkkä
EURASIP Journal on Advances in Signal Processing 2020, 1-62, 2020
Mandat: US National Science Foundation, Academy of Finland, European Commission …
Generalized multiple importance sampling
V Elvira, L Martino, D Luengo, MF Bugallo
Mandat: US National Science Foundation, Agence Nationale de la Recherche, Government …
Efficient monte carlo methods for multi-dimensional learning with classifier chains
J Read, L Martino, D Luengo
Pattern Recognition 47 (3), 1535-1546, 2014
Mandat: Government of Spain
Layered adaptive importance sampling
L Martino, V Elvira, D Luengo, J Corander
Statistics and Computing, 1-25, 2015
Mandat: European Commission, Government of Spain
Independent doubly adaptive rejection Metropolis sampling within Gibbs sampling
L Martino, J Read, D Luengo
IEEE Transactions on Signal Processing 63 (12), 3123-3138, 2015
Mandat: European Commission, Government of Spain
Scalable multi-output label prediction: From classifier chains to classifier trellises
J Read, L Martino, PM Olmos, D Luengo
Pattern Recognition 48 (6), 2096-2109, 2015
Mandat: European Commission, Government of Spain
Marginal likelihood computation for model selection and hypothesis testing: an extensive review
F Llorente, L Martino, D Delgado, J Lopez-Santiago
SIAM review 65 (1), 3-58, 2023
Mandat: Government of Spain
A review of multiple try MCMC algorithms for signal processing
L Martino
Digital Signal Processing 75, 134-152, 2018
Mandat: European Commission
Orthogonal MCMC algorithms
L Martino, V Elvira, D Luengo, A Artes-Rodriguez, J Corander
2014 IEEE Workshop on Statistical Signal Processing (SSP), 364-367, 2014
Mandat: European Commission, Government of Spain
Improving population Monte Carlo: Alternative weighting and resampling schemes
V Elvira, L Martino, D Luengo, MF Bugallo
Signal Processing 131, 77-91, 2017
Mandat: US National Science Foundation, European Commission, Government of Spain
Physics-aware Gaussian processes in remote sensing
G Camps-Valls, L Martino, DH Svendsen, M Campos-Taberner, ...
Applied Soft Computing 68, 69-82, 2018
Mandat: European Commission, Government of Spain
Efficient multiple importance sampling estimators
V Elvira, L Martino, D Luengo, MF Bugallo
IEEE Signal Processing Letters 22 (10), 1757-1761, 2015
Mandat: European Commission, Government of Spain
An adaptive population importance sampler: Learning from uncertainty
L Martino, V Elvira, D Luengo, J Corander
IEEE Transactions on Signal Processing 63 (16), 4422-4437, 2015
Mandat: European Commission, Government of Spain
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