Revisiting Bayesian Autoencoders With MCMC

Autoencoders gained popularity in the deep learning revolution given their ability to compress data and provide dimensionality reduction. Although prominent deep learning methods have been used to enhance autoencoders, the need to provide robust uncertainty quantification remains a challenge. This h...

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Hlavní autoři: Rohitash Chandra, Mahir Jain, Manavendra Maharana, Pavel N. Krivitsky
Médium: Artigo
Jazyk:Inglês
Vydáno: IEEE 2022-01-01
Edice:IEEE Access
Témata:
Bayesian deep learning
MCMC
Langevin dynamics
autoencoders
parallel tempering
deep learning
On-line přístup:https://ieeexplore.ieee.org/document/9745141/
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