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Benchmarking Machine Learning Emulators of Stellar Evolution for Precision Asteroseismology
Fast and accurate stellar evolution emulators---surrogate models that approximate expensive simulation outputs with machine learning (ML)---are powerful tools for modern stellar characterization, hierarchical inference, and population synthesis. We analyze the grid density required for reliable emul
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