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Deep Importance Sampling based on Regression for Model Inversion and Emulation

Deep Importance Sampling based on Regression for Model Inversion and Emulation

F. Llorente
Luca Martino
D. Delgado
G. Camps-Valls
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Papers citing "Deep Importance Sampling based on Regression for Model Inversion and Emulation"

4 / 4 papers shown
Title
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC
F. Llorente
Luca Martino
Jesse Read
D. Delgado
OffRL
58
13
0
03 Jan 2025
Adaptive posterior distributions for uncertainty analysis of covariance matrices in Bayesian inversion problems for multioutput signals
E. Curbelo
Luca Martino
F. Llorente
D. Delgado-Gomez
42
1
0
03 Jan 2025
MCMC-driven importance samplers
MCMC-driven importance samplers
F. Llorente
E. Curbelo
Luca Martino
Victor Elvira
D. Delgado
27
11
0
06 May 2021
Improved Adaptive Rejection Metropolis Sampling Algorithms
Improved Adaptive Rejection Metropolis Sampling Algorithms
Luca Martino
Jesse Read
D. Luengo
35
85
0
24 May 2012