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Found 3 papers, 2 papers with code
Transformers for scientific data: a pedagogical review for astronomers
The deep learning architecture associated with ChatGPT and related generative AI products is known as transformers.
Inferring Structural Parameters of Low-Surface-Brightness-Galaxies with Uncertainty Quantification using Bayesian Neural Networks
Measuring the structural parameters (size, total brightness, light concentration, etc.)
DeepShadows: Separating Low Surface Brightness Galaxies from Artifacts using Deep Learning
We take advantage of the fact that, for the first time, we have available a large number of labeled LSBGs and artifacts from the Dark Energy Survey, that we use to train, validate, and test a CNN model.
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