PAI: Preserving Amplitude Information in Representation-Based Time-Series Anomaly Detection 事件

PAI: Preserving Amplitude Information in Representation-Based Time-Series Anomaly Detection arXiv:2606.08935v1 Announce Type: cross Abstract: Representation-based time-series anomaly detection algorithms significantly outperform other methods on diverse anomaly detection tasks. However, we notice that they suffer from a major limitation in our evaluation - their learned embeddings are often amplitude-agnostic. Losing amplitude information can degrade performance on amplitude related anomalies,