2026
Geometric Embedding Alignment via Curvature Matching in Transfer Learning
ICML 2026poster
Geometrical interpretations of deep learning models offer insightful perspectives into their underlying mathematical structures. In this work, we introduce a novel approach that leverages differential geometry, particularly concepts from Riemannian geometry, to integrate multiple models into a unifi…