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Dimensionality Reduction of SDSS Spectra with Variational Autoencoders

  • Authors: Stephen K. N. Portillo, John K. Parejko, Jorge R. Vergara, and Andrew J. Connolly

2020 The Astronomical Journal 160 45.

  • Provider: AAS Journals

Caption: Figure 2.

Structure of a variational autoencoder with a 4-3-2-3-4 architecture (similar structure to the autoencoder in Figure 1). The dashed lines indicate that each latent value ﹩{z}_{\mathrm{1,2}}﹩ is drawn from a Gaussian distribution defined by a latent mean μ1,2 and log variance ﹩\mathrm{ln}{\sigma }_{1,2}^{2}﹩.

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