AINeutralarXiv – CS AI · 9h ago6/10
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PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data
PAMF is a new machine learning framework that addresses incomplete multimodal time series data in healthcare by distinguishing between two types of missing data patterns and coupling imputation with downstream prediction tasks. The method uses flow matching with type-specific priors and weight sharing to achieve superior performance on healthcare benchmarks compared to existing approaches.