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A Partially Supervised Latent-Space Variational Autoencoder for Generating Neutron Star Equations of State
We develop a partially supervised latent-space variational autoencoder (PSL-VAE) framework to reconstruct and generate neutron star (NS) equations of state (EOS). The PSL-VAE consists of an encoder network that maps high-dimensional EOS data into a lower-dimensional latent space and a decoder networ
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