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Tillmann Rheude

2 papers indexed

arxivcs.LGcs.AI2026-07-20

Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning

Tillmann Rheude, Roland Eils, Benjamin Wild

Contrastive learning is increasingly moving toward settings with three or more modalities instead of image-text pairs. Yet, extending models from pairwise to higher-order multimodal alignment can introduce optimization and representation challenges. We identify encoder Jacobian c…

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arxivcs.CV2026-06-25

Modeling Local, Global, and Cross-Modal Context in Multimodal 3D MRI

Minh Duc Do, Tillmann Rheude, Noel Kronenberg, Roland Eils, Benjamin Wild

Brain MRI poses a fundamental challenge for machine learning: models must learn from high-dimensional 3D data spanning multiple co-registered modalities, despite the limited sample sizes typical of neuroimaging studies relative to the diversity in anatomy, pathology, and acquisit…

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