2 papers
cs.AI2026
Normality Constraint Learning: Adapting Foundation Models for Time Series Anomaly Detection
Xiaohui Zhou, Yijie Wang, Hongzuo Xu +2
Time Series Foundation Models (TSFMs) achieve strong generalization by learning to reconstruct or forecast broad temporal patterns from large-scale time series during pre-training.…
cs.LG2026
IMPACT: Influence Modeling for Open-Set Time Series Anomaly Detection
Xiaohui Zhou, Yijie Wang, Hongzuo Xu +3
Open-set anomaly detection (OSAD) is an emerging paradigm designed to utilize limited labeled data from anomaly classes seen in training to identify both seen and unseen anomalies…