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Found 2 papers, 2 papers with code
Bayesian graph convolutional neural networks via tempered MCMC
Bayesian inference provides a principled approach to uncertainty quantification of model parameters for deep learning models.
Revisiting Bayesian Autoencoders with MCMC
Although prominent deep learning methods have been used to enhance autoencoders, the need to provide robust uncertainty quantification remains a challenge.
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