2023
DOI: 10.1049/tje2.12311
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An improved uncertainty autoencoder with blurred measurements

Ke Xu,
Weiqiang Wu,
Hongguang Xu

Abstract: Compressed sensing (CS) techniques have enabled efficient acquisition and recovery of sparse high‐dimensional data via succinct low‐dimensional projections, which usually consist of an encoder and a decoder. Unlike conventional CS techniques with the encoding–decoding architecture, the uncertainty autoencoder (UAE) can sample from the learned input data distribution without an explicit likelihood function and hence avoids potential uninformative latent representations. However, existing works on UAE mainly foc… Show more

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