F. Llorente | DeepAI

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Featured Co-authors

L. Martino
15 publications
V. Elvira
6 publications
G. Camps-Valls
5 publications
D. Delgado
5 publications
E. Curbelo
3 publications
J. López-Santiago
3 publications
R. San Millán-Castillo
3 publications
E. Morgado
3 publications
J. Read
2 publications
J. Miguez
1 publication

∙ 07/26/2022

An exhaustive variable selection study for linear models of soundscape emotions: rankings and Gibbs analysis

In the last decade, soundscapes have become one of the most active topic...

0 R. San Millán-Castillo, et al. ∙

∙ 06/10/2022

On the safe use of prior densities for Bayesian model selection

The application of Bayesian inference for the purpose of model selection...

0 F. Llorente, et al. ∙

∙ 08/01/2021

A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning

This survey gives an overview of Monte Carlo methodologies using surroga...

0 F. Llorente, et al. ∙

∙ 07/24/2021

Automatic tempered posterior distributions for Bayesian inversion problems

We propose a novel adaptive importance sampling scheme for Bayesian inve...

0 L. Martino, et al. ∙

∙ 05/06/2021

MCMC-driven importance samplers

Monte Carlo methods are the standard procedure for estimating complicate...

0 F. Llorente, et al. ∙

∙ 10/20/2020

Deep Importance Sampling based on Regression for Model Inversion and Emulation

Understanding systems by forward and inverse modeling is a recurrent top...

0 F. Llorente, et al. ∙

∙ 05/31/2020

Adaptive quadrature schemes for Bayesian inference via active learning

Numerical integration and emulation are fundamental topics across scient...

0 F. Llorente, et al. ∙

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