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#machine learning Preprint Jan 2026

Diverse via bounded Agreement: Geometric Regularization for Multimodal Fusion

The results suggest that explicitly regulating representation geometry is an effective complement to optimization balancing, and provide evidence that geometry-aware regularization can improve multimodal learning across diverse architectures and domains.

Zixuan Xia, Hao Wang, Peng-Cheng Weng et al. · 1 citation

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