AstroM$^3$: A self-supervised multimodal model for astronomy

While machine-learned models are now routinely employed to facilitate astronomical inquiry, model inputs tend to be limited to a primary data source (namely images or time series) and, in the more advanced approaches, some metadata. Yet with the growing use of wide-field, multiplexed observational r...

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Bibliographische Detailangaben

Hauptverfasser:	Rizhko, Mariia, Bloom, Joshua S
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Physics - Instrumentation and Methods for Astrophysics
Online-Zugang:	Volltext bestellen
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