Balancing Reconstruction Error and Kullback-Leibler Divergence in Variational Autoencoders
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3034828
Abstract: Likelihood-based generative frameworks are receiving increasing attention in the deep learning community, mostly on account of their strong probabilistic foundation. Among them, Variational Autoencoders (VAEs) are reputed for their fast and tractable sampling and relatively… read more here.
Keywords: reconstruction; leibler divergence; variational autoencoders; reconstruction error ... See more keywords
Universal Lower Bound for Finite-Sample Reconstruction Error and Its Relation to Prolate Spheroidal Functions
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DOI: 10.1109/lsp.2017.2769695
Abstract: We consider the problem of representing a finite-energy signal with a finite number of samples. When the signal is interpolated via sinc function from the samples, there will be a certain reconstruction error since only… read more here.
Keywords: error; bound; number samples; reconstruction error ... See more keywords