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Insights into Galaxy Evolution from Interpretable Sparse Feature Networks
John F. Wu 2025 ApJ 980 183 A novel neural network architecture produces interpretable features that can be combined to estimate galaxy properties such as metallicity from pixel-level features.
The post Insights into Galaxy Evolution from Interpretable Sparse Feature Networks appeared first on AAS Nova.
The post Insights into Galaxy Evolution from Interpretable Sparse Feature Networks appeared first on AAS Nova.
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