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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

20 October 2020
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
40
1
0
03 Jan 2025
MCMC-driven importance samplers
MCMC-driven importance samplers
F. Llorente
E. Curbelo
Luca Martino
Victor Elvira
D. Delgado
21
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
1