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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Jiayue Zhu

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Jul 2026

RODR: Riemannian Orthogonally Decoupled Regularization for Disentangled Manifold Representation

This work introduces Riemannian Orthogonally Decoupled Regularization (RODR) to reformulate the optimization trajectory by disentangling the normal (fitting) and tangential (distribution) components and establishes a generic and interpretable framework for disentangled geometric optimization in point cloud processing.

Jiayue Zhu, Wen-Jie Zhao · 0 citations

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