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Safe importance sampling based on partial posteriors and neural variational approximations.
Fernando Llorente
Ernesto Curbelo
Luca Martino
Pablo M. Olmos
David Delgado
Published in:
EUSIPCO (2022)
Keyphrases
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variational methods
network architecture
free energy
neural network
image segmentation
difference equations
optical flow
associative memory
relative importance
nonlinear predictive control
data sets
multiscale
em algorithm
bayesian inference
methods in computer vision