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A General Topological Symmetry Index for Critical Orbits In Neural Network Loss Landscapes

arXiv:2610.28864v1 Announce Type: new Abstract: A systematic understanding of the global structure of neural-network loss landscapes remains challenging due to their high dimensionality. Symmetries arising from network architectures and learning objectives provide a way to investigate aspects of th…

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  1. 2026-10-22 04:00 · arXiv cs.LG
    A General Topological Symmetry Index for Critical Orbits In Neural Network Loss Landscapes

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