3 papers
cs.LG2026
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 multimoda…
cs.CV2026
Modeling Local, Global, and Cross-Modal Context in Multimodal 3D MRI
Minh Duc Do, Tillmann Rheude, Noel Kronenberg +2
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…
cs.LG2025
JanusDNA: A Powerful Bi-directional Hybrid DNA Foundation Model
Qihao Duan, Bingding Huang, Zhenqiao Song +4
Large language models (LLMs) have revolutionized natural language processing and are increasingly applied to other sequential data types, including genetic sequences. However, adap…