CALM: Interpretable Cross-Modal Alignment for Biomarker Discovery from Unpaired Data

arXiv cs.LG4w4 min read

arXiv:2607.01656v1 Announce Type: new Abstract: The interaction between brain structure and genetic influences is key to understanding neuropsychiatric disorders. However, most large-scale datasets are unimodal, providing either neuroimaging or genetics data. We propose CALM, a framework that learns interpretable associations between brain ROIs and genetic pathways from completely disjoint populations. CALM aligns the two modalities in a shared latent space via linear projections that simultaneously match the class-conditional latent distributions and ensure group separability. These projectio

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CALM: Interpretable Cross-Modal Alignment for Biomarker Discovery from Unpaired Data

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