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ORCIDFernando Llorente 0001
Person information
- affiliation: Stony Brook University, NY, USA
- affiliation (former): University Carlos III of Madrid, Leganés, Spain
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2020 – today
- 2025
[j9]Ernesto Curbelo
, Luca Martino, Fernando Llorente, David Delgado-Gómez:
Adaptive posterior distributions for uncertainty analysis of covariance matrices in Bayesian inversion problems for multioutput signals. J. Frankl. Inst. 362(3): 107441 (2025)- [i11]Ernesto Curbelo, Luca Martino, Fernando Llorente, David Delgado-Gómez:
Adaptive posterior distributions for uncertainty analysis of covariance matrices in Bayesian inversion problems for multioutput signals. CoRR abs/2501.01148 (2025) - 2024
- [c6]Fernando Llorente, Petar M. Djuric:
Dynamic Random Feature Gaussian Processes for Bayesian Optimization of Time-Varying Functions. ICASSP 2024: 9756-9760 - [i10]Marzieh Ajirak, Daniel Waxman, Fernando Llorente, Petar M. Djuric:
Fusion of Gaussian Processes Predictions with Monte Carlo Sampling. CoRR abs/2403.01389 (2024) - 2023
- [j8]Fernando Llorente, Luca Martino, David Delgado:
Target-aware Bayesian inference via generalized thermodynamic integration. Comput. Stat. 38(4): 2097-2119 (2023) - [j7]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) - [c5]Marzieh Ajirak, Daniel Waxman, Fernando Llorente, Petar M. Djuric:
FUSION OF GAUSSIAN PROCESSES PREDICTIONS WITH MONTE CARLO SAMPLING. ACSSC 2023: 1367-1371 - 2022
- [j6]Fernando Llorente, Luca Martino, Jesse Read, David Delgado-Gómez:
Optimality in noisy importance sampling. Signal Process. 194: 108455 (2022) - [j5]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) - [c4]Mohamed Alami Chehboune, Rim Kaddah, Luca Martino, Fernando Llorente, Jesse Read:
CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies. EUSIPCO 2022: 1482-1486 - [c3]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 - [i9]Fernando Llorente, Luca Martino, Jesse Read, David Delgado-Gómez:
Optimality in Noisy Importance Sampling. CoRR abs/2201.02432 (2022) - [i8]Mohamed Alami Chehboune, Fernando Llorente, Rim Kaddah, Luca Martino, Jesse Read:
CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies. CoRR abs/2205.09433 (2022) - [i7]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
- [j4]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) - [c2]Fernando Llorente, Luca Martino, Víctor Elvira, David Delgado:
A Nearest Neighbors Quadrature for Posterior Approximation via Adaptive Sequential Design. SSP 2021: 301-305 - [i6]Fernando Llorente, Ernesto Curbelo, Luca Martino, Victor Elvira, David Delgado:
MCMC-driven importance samplers. CoRR abs/2105.02579 (2021) - [i5]Luca Martino, Fernando Llorente, Ernesto Curbelo, Javier López-Santiago, Joaquín Míguez:
Automatic tempered posterior distributions for Bayesian inversion problems. CoRR abs/2107.11614 (2021) - [i4]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
- [j3]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) - [j2]Danae Carreras-García, David Delgado-Gómez, Fernando Llorente-Fernández, Ana Arribas-Gil:
Patient No-Show Prediction: A Systematic Literature Review. Entropy 22(6): 675 (2020) - [c1]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 - [i3]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) - [i2]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) - [i1]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)
2010 – 2019
- 2019
- [j1]Fernando Llorente, Luca Martino, David Delgado:
Parallel Metropolis-Hastings Coupler. IEEE Signal Process. Lett. 26(6): 953-957 (2019)
Coauthor Index
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