RoseCDL: Robust and Scalable Convolutional Dictionary Learning for Rare event and Anomaly Detection

ArXi:2509.07523v4 Announce Type: replace Detecting rare events and anomalies in large-scale signals is essential in fields such as astronomy, physical simulations, and biomedical science. In many cases, this problem naturally decomposes into identifying common local patterns and detecting deviations that correspond to anomalies. Convolutional Dictionary Learning (CDL) is a powerful tool for modeling local structures, but its adoption for this task has been limited by computational demands and sensitivity to outliers. We.