A trimodal CLIP-style model trained on 21,440 variable stars with light curves, spectra, and metadata improves photometry classification and unsupervised subtype discovery.
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AstroM$^3$: A self-supervised multimodal model for astronomy
A trimodal CLIP-style model trained on 21,440 variable stars with light curves, spectra, and metadata improves photometry classification and unsupervised subtype discovery.