Probabilistic Autoencoder Using Fisher Information
Neural networks play a growing role in many scientific disciplines, including physics. Variational autoencoders (VAEs) are neural networks that are able to represent the essential information of a high dimensional data set in a low dimensional latent space, which have a probabilistic interpretation....
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-12-01
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Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/23/12/1640 |