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#machine learning Preprint Oct 2026

CircuitGate: Logic-Consistent Circuit-Level Functional Modeling for And-Inverter Graphs

CircuitGate is proposed, a function-aware AIG representation learning framework that advances from gate-level semantics to circuit-level functional modeling, and achieves the best equivalent-gate identification performance, demonstrating strong cross-dataset generalization.

Qi-Fan Zhang, Rui-Jie Li, Fang-Zhou Zhang et al. · 0 citations
Book Open access Aug 2026

ReCATS: Replay-Free Continual Anomaly Detection for Non-Stationary Multivariate Time Series

ReCATS combines multi-regime modeling with a dual-phase generative alignment mechanism, enabling effective adaptation to distribution shifts while preserving knowledge acquired from past tasks, and introduces a dynamic dual-scale thresholding strategy to mitigate decision boundary drift under evolving data distribution...

Qiuyang Li, Qian Ma, Zhong-Ming Yao et al. · 0 citations
Book Open access Aug 2026

ReCATS: Replay-Free Continual Anomaly Detection for Non-Stationary Multivariate Time Series

Multivariate time series anomaly detection is critical in safety-critical domains such as industrial monitoring and financial systems. However, real-world time series are inherently non-stationary, with evolving data distributions driven by changing operational regimes and system dynamics. As a result, most existing me...

Qiuyang Li, Q. Ma, Zhongming Yao et al. · 0 citations

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