Cascade-KDE: Robust Time-Series Restoration under Out-of-Distribution Impulse Corruptions 事件

Cascade-KDE: Robust Time-Series Restoration under Out-of-Distribution Impulse Corruptions arXiv:2605.24055v1 Announce Type: cross Abstract: Real-world time-series data in industrial sensing, healthcare, and energy systems is often corrupted by a mixture of Gaussian noise and occasional large-magnitude impulse outliers. For tasks that depend on local shape, such as ECG morphology analysis and battery degradation monitoring, the main requirement is not only low reconstruction error but also prese