3 papers
cs.LG2026
Power Interpretable Causal ODE Networks: A Unified Model for Explainable Anomaly Detection and Root Cause Analysis in Power Systems
Yue Sun, Likai Wang, Rick S. Blum +1
Anomaly detection and root cause analysis (RCA) are critical for ensuring the safety and resilience of cyber-physical systems such as power grids. However, existing machine learnin…
cs.LG2025
Unifying Explainable Anomaly Detection and Root Cause Analysis in Dynamical Systems
Yue Sun, Rick S. Blum, Parv Venkitasubramaniam
Dynamical systems, prevalent in various scientific and engineering domains, are susceptible to anomalies that can significantly impact their performance and reliability. This paper…
cs.LG2025
Wasserstein-regularized Conformal Prediction under General Distribution Shift
Rui Xu, Chao Chen, Yue Sun +2
Conformal prediction yields a prediction set with guaranteed coverage of the true target under the i.i.d. assumption, which may not hold and lead to a gap between and t…