MARTINO, Luca
MARTINO, Luca
ECONOMIA E IMPRESA
A bayesian inference and model selection algorithm with an optimization scheme to infer the model noise power
2021-01-01 Lopez-Santiago, J.; Martino, L.; Vazquez, M. A.; Miguez, J.
A joint introduction to Gaussian Processes and Relevance Vector Machines with connections to Kalman filtering and other kernel smoothers
2021-01-01 Martino, L.; Read, J.
A likely magnetic activity cycle for the exoplanet host m dwarf gj 3512
2020-01-01 Lopez-Santiago, J.; Martino, L.; Miguez, J.; Vazquez, M. A.
A NEAREST NEIGHBORS QUADRATURE FOR POSTERIOR APPROXIMATION VIA ADAPTIVE SEQUENTIAL DESIGN
file da validare2021-01-01 Llorente, F; Martino, L; Elvira, V; Delgado, D
A survey of active learning for quantifying vegetation traits from terrestrial earth observation data
2021-01-01 Berger, K.; Rivera Caicedo, J. P.; Martino, L.; Wocher, M.; Hank, T.; Verrelst, J.
A survey of Monte Carlo methods for parameter estimation
2020-01-01 Luengo, D.; Martino, L.; Bugallo, M.; Elvira, V.; Sarkka, S.
Active emulation of computer codes with Gaussian processes – Application to remote sensing
2020-01-01 Svendsen, D. H.; Martino, L.; Camps-Valls, G.
Adaptive Quadrature Schemes for Bayesian Inference via Active Learning
2020-01-01 Fernandez, F. L.; Martino, L.; Elvira, V.; Delgado, D.; Lopez-Santiago, J.
ADAPTIVE SEQUENTIAL INTERPOLATOR USING ACTIVE LEARNING FOR EFFICIENT EMULATION OF COMPLEX SYSTEMS
file da validare2020-01-01 Martino, L; Svendsen, Dh; Vicent, J; Camps-Valls, G
Advances in Importance Sampling
file da validare2021-01-01 Elvira, V??ctor; Martino, Luca
An Exhaustive Variable Selection Study for Linear Models of Soundscape Emotions: Rankings and Gibbs Analysis
2022-01-01 Millan-Castillo, R. S.; Martino, L.; Morgado, E.; Llorente, F.
Automatic tempered posterior distributions for bayesian inversion problems
2021-01-01 Martino, L.; Llorente, F.; Cuberlo, E.; Lopez-Santiago, J.; Miguez, J.
Comparative analysis of atmospheric radiative transfer models using the Atmospheric Look-up table Generator (ALG) toolbox (version 2.0)
2020-01-01 Vicent, J.; Verrelst, J.; Sabater, N.; Alonso, L.; Pablo Rivera-Caicedo, J.; Martino, L.; Munoz-Mari, J.; Moreno, J.
Compressed Monte Carlo with application in particle filtering
2021-01-01 Martino, L.; Elvira, V.
Compressed Particle Methods for Expensive Models with Application in Astronomy and Remote Sensing
2021-01-01 Martino, L.; Elvira, V.; Lopez-Santiago, J.; Camps-Valls, G.
Deep Encoder-Decoder Neural Network Architectures for Graph Output Signals
file da validare2019-01-01 Rey, S; Tenorio, V; Rozada, S; Martino, L; Marques, Ag
Deep importance sampling based on regression for model inversion and emulation
2021-01-01 Llorente, F.; Martino, L.; Delgado-Gomez, D.; Camps-Valls, G.
Efficient Adaptive Multiple Importance Sampling
file da validare2019-01-01 El-Laham, Yousef; Martino, Luca; Elvira, Victor; Bugallo, Monica F.
Elucidating the Auxiliary Particle Filter via Multiple Importance Sampling [Lecture Notes]
2019-01-01 Elvira, V.; Martino, L.; Bugallo, M. F.; Djuric, P. M.
Extremely efficient acceptance-rejection method for simulating uncorrelated Nakagami fading channels
2019-01-01 Martino, L.; Luengo, D.