AnchorMoE: Interpretable Time Series Classification via Anchor-Routed MoE 事件

AnchorMoE: Interpretable Time Series Classification via Anchor-Routed MoE arXiv:2606.03631v1 Announce Type: cross Abstract: Multivariate time series classification (MTSC) is pivotal in high-stakes domains, such as clinical diagnosis and industrial fault detection, where safe deployment necessitates transparent decision-making. However, isolating the temporal segments that drive model predictions is challenging because discriminative signals in real-world time series are typically sparse, hetero