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Active emulation of computer codes with Gaussian processes --
  Application to remote sensing

Active emulation of computer codes with Gaussian processes -- Application to remote sensing

13 December 2019
D. Svendsen
Luca Martino
Gustau Camps-Valls
ArXivPDFHTML

Papers citing "Active emulation of computer codes with Gaussian processes -- Application to remote sensing"

9 / 9 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
91
13
0
03 Jan 2025
Gaussian Process Classification Bandits
Gaussian Process Classification Bandits
Tatsuya Hayashi
N. Ito
Koji Tabata
Atsuyoshi Nakamura
Katsumasa Fujita
Yoshinori Harada
T. Komatsuzaki
GP
19
2
0
26 Dec 2022
Bayesian Active Learning with Fully Bayesian Gaussian Processes
Bayesian Active Learning with Fully Bayesian Gaussian Processes
Christoffer Riis
Francisco Antunes
F. B. Hüttel
C. L. Azevedo
Francisco Câmara Pereira
GP
33
22
0
20 May 2022
Optimality in Noisy Importance Sampling
Optimality in Noisy Importance Sampling
F. Llorente
Luca Martino
Jesse Read
D. Delgado
48
5
0
07 Jan 2022
Compressed particle methods for expensive models with application in
  Astronomy and Remote Sensing
Compressed particle methods for expensive models with application in Astronomy and Remote Sensing
Luca Martino
Victor Elvira
J. Lopez-Santiago
Gustau Camps-Valls
26
4
0
18 Jul 2021
Retrieval of aboveground crop nitrogen content with a hybrid machine
  learning method
Retrieval of aboveground crop nitrogen content with a hybrid machine learning method
K. Berger
J. Verrelst
J. Féret
T. Hank
Matthias Wocher
W. Mauser
Gustau Camps-Valls
13
137
0
07 Dec 2020
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
42
19
0
20 Oct 2020
Active Learning Approach to Optimization of Experimental Control
Active Learning Approach to Optimization of Experimental Control
Yadong Wu
Zengming Meng
K. Wen
Chengdong Mi
Jing Zhang
H. Zhai
17
14
0
26 Mar 2020
Robust Gaussian Process Regression with a Bias Model
Robust Gaussian Process Regression with a Bias Model
Chiwoo Park
David J. Borth
Nicholas S. Wilson
Chad N. Hunter
F. Friedersdorf
31
27
0
14 Jan 2020
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