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Residual-loss Anomaly Analysis of PINNs for Change-point Detection

Residual-loss anomaly analysis of Physics-Informed Neural Networks (PINNs) is a new method for detecting change-points and estimating parameters in nonlinear dynamical systems.

Apr 30, 2026 7 min read Siegfried Kamgo

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Residual-loss Anomaly Analysis of PINNs for Change-point Detection