Poster
in
Workshop: NeurIPS 2023 Workshop: Machine Learning and the Physical Sciences
Rare Galaxy Classes Identified In Foundation Model Representations
Mike Walmsley · Anna Scaife
Abstract:
We identify rare and visually distinctive galaxy populations by searching for structure within the learned representations of pretrained models. We show that these representations arrange galaxies by appearance in patterns beyond those needed to predict the pretraining labels. We design a clustering approach to isolate specific local patterns, revealing groups of galaxies with rare and scientifically-interesting morphologies.
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