LightGBM and other regressors achieve R^{2}≈0.6–0.7 under random CV on CCSN GW catalogues but collapse to worse-than-mean performance under Leave-One-EoS-Out validation, exposing a generalisation gap for unseen EoS families.
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2026 2representative citing papers
Stellar rotation relaxes supernova energy-loss bounds on axion-like particles by reducing core temperatures but has negligible impact on gamma-ray constraints from SN 1987A.
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The Generalization Gap in Machine Learning EoS Inference from Core-Collapse Supernova Gravitational Waves
LightGBM and other regressors achieve R^{2}≈0.6–0.7 under random CV on CCSN GW catalogues but collapse to worse-than-mean performance under Leave-One-EoS-Out validation, exposing a generalisation gap for unseen EoS families.
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Rotation-induced Relaxation of Supernova Constraints on Axionlike Particles
Stellar rotation relaxes supernova energy-loss bounds on axion-like particles by reducing core temperatures but has negligible impact on gamma-ray constraints from SN 1987A.