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Spectral Asymptotics of Neural Network Loss Landscapes

Paper presents exact decomposition of the curvature exponent α, finding α ≈ 2 for convolutions and ≈ 1 for transformers. The analysis provides a theoretical framework for Hessian eigenvalue scaling in deep learning.

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8 days ago
Spectral Asymptotics of Neural Network Loss Landscapes — AIBriefs