A Partially Supervised Latent-Space Variational Autoencoder for Generating Neutron Star Equations of State

arXiv:2605.27562 · astro-ph.IM, astro-ph.HE · Submitted 2026-05-26 · Read on arXiv

astro-ph.IM, astro-ph.HE

Submitted: 2026-05-26

Updated: 2026-09-15

Comments: 23 pages, 10 figures

DOI: 10.1088/2632-2153/aea51c

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Core — 30× in this paper · explained in 2 episodes
• Latent Space — 22× in this paper · explained in 7 episodes
• Accuracy — 11× in this paper · explained in 1 episode
• Latent Representation — 8× in this paper · explained in 2 episodes
• Bayesian Inference — 6× in this paper · explained in 5 episodes
• Fidelity — 6× in this paper · explained in 2 episodes
• Adam — 4× in this paper · explained in 2 episodes
• Activation Function — 3× in this paper · explained in 1 episode
• Clustering — 2× in this paper · explained in 2 episodes
• Phase Transitions — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Bayesian Framework — 1× in this paper · explained in 3 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Elias — 1× in this paper · explained in 2 episodes
• Equation of State (EoS) — 1× in this paper · explained in 4 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Variational Autoencoder (VAE) — 1× in this paper · explained in 3 episodes

Sources

• Searching for phase transitions in neutron stars with modified Gaussian processes
• A New Bayesian Framework with Natural Priors to Constrain the Neutron Star Equation of State
• Characterizing the nuclear models informed by PREX and CREX: a view from Bayesian inference
• An Introduction to Variational Autoencoders
• Tutorial on Variational Autoencoders
• Gaussian Error Linear Units (GELUs)

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