2025
CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling
NeurIPS 2025poster
Time series anomaly detection plays a crucial role in a wide range of real-world applications. Given that time series data can exhibit different patterns at different sampling granularities, multi-scale modeling has proven beneficial for uncovering latent anomaly patterns that may not be apparent at…