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Found 2 papers, 1 papers with code
Scalable End-to-end Recurrent Neural Network for Variable star classification
Our method uses minimal data preprocessing, can be updated with a low computational cost for new observations and light curves, and can scale up to massive datasets.
Deep multi-survey classification of variable stars
In this work, we present a novel Deep Learning model for light curve classification, mainly based on convolutional units.
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