PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data 事件

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data arXiv:2606.06328v1 Announce Type: cross Abstract: In healthcare, multimodal time series tasks often operate on incomplete observations in practice, for example when ECG segments are lost because electrodes detach or an entire respiratory channel is unavailable during overnight monitoring. Such missingness typically appears in two structurally distinct patterns: within-modality missing, where values are absent within an otherwis