AI RESEARCH
From Data to Laws: Neural Discovery of Conservation Laws Without False Positives
arXiv CS.LG
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ArXi:2603.20474v1 Announce Type: new Conservation laws are fundamental to understanding dynamical systems, but discovering them from data remains challenging due to parameter variation, non-polynomial invariants, local minima, and false positives on chaotic systems. We