Unsupervised Discovery of High-Redshift Galaxy Populations with Variational Autoencoders

Aayush Saxena

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arXiv · 2511.05439

Unsupervised Discovery of High-Redshift Galaxy Populations with Variational Autoencoders

Aayush Saxena

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Abstract

We apply variational autoencoders to automatically discover galaxy populations using publicly available high-redshift \textit{JWST} spectra without prior classification knowledge. Our unsupervised method identifies distinct astrophysical classes of unique and exciting galaxy types, demonstrating automated discovery capabilities for large spectroscopic surveys.

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Aayush Saxena. 2025-11-07. Unsupervised Discovery of High-Redshift Galaxy Populations with Variational Autoencoders. https://arxiv.org/abs/2511.05439

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