Peng Chang

COGNOS: Universal Enhancement for Time Series Anomaly Detection via Constrained Gaussian-Noise Optimization and Smoothing

COGNOS is proposed, a universal, model-agnostic enhancement framework that tackles the issue of statistically flawed reconstruction residuals at its source and consistently enhances the performance of state-of-the-art backbones significantly, validating the efficacy of coupling statistical regularization with adaptive...