2 papers
cs.CE2026
Cell-JEPA: Latent Representation Learning for Single-Cell Transcriptomics
Ali ElSheikh, Rui-Xi Wang, Weimin Wu +9
Single-cell foundation models learn by reconstructing masked gene expression, implicitly treating technical noise as signal. With dropout rates exceeding 90%, reconstruction object…
cs.AI2025
MedFuse: Multiplicative Embedding Fusion For Irregular Clinical Time Series
Yi-Hsien Hsieh, Ta-Jung Chien, Chun-Kai Huang +2
Clinical time series derived from electronic health records (EHRs) are inherently irregular, with asynchronous sampling, missing values, and heterogeneous feature dynamics. While n…