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Found 2 papers, 1 papers with code
Interpreting Stellar Spectra with Unsupervised Domain Adaptation
We discuss how to achieve mapping from large sets of imperfect simulations and observational data with unsupervised domain adaptation.
Cycle-StarNet: Bridging the gap between theory and data by leveraging large datasets
To accomplish this, synthetic models are morphed into spectra that resemble observations, thereby reducing the gap between theory and observations.
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