Learning to Test: Physics-Informed Representation for Dynamical Instability Detection
Published in arXiv preprint, 2026
This work learns a physics-informed latent representation for stability-relevant contextual structure. It reframes deployment-time monitoring as a distributional hypothesis test, offering a scalable alternative to repeated high-cost physical simulation.
Recommended citation: Minxing Zheng, Zewei Deng, Liyan Xie, and Shixiang Zhu. (2026). "Learning to Test: Physics-Informed Representation for Dynamical Instability Detection." arXiv:2604.10967.
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