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ENTITY Gaussianity Fair: The Riddle of Anomalous yet Non-Gaussian Diffusion

Gaussianity Fair: The Riddle of Anomalous yet Non-Gaussian Diffusion

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  1. TOOL · CL_244676 ·

    New research reveals critical initialization destabilizes higher derivatives in neural networks

    Researchers have identified that critical initialization can destabilize higher-order input derivatives in wide neural networks with scalar inputs. While the edge-of-chaos condition preserves first-order perturbations, …