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Fast Neural Tangent Kernel Alignment, Norm and Effective Rank via Trace Estimation

arXiv — cs.LG•Monday, November 17, 2025 at 5:00:00 AM

- The article introduces a matrix-free approach to analyzing the Neural Tangent Kernel (NTK) using trace estimation, which enhances the speed and efficiency of computations related to NTK's properties. This development is crucial as it addresses the computational challenges faced in deep learning, particularly with recurrent architectures, enabling faster model training and analysis. While there are no directly related articles, the focus on performance and computational efficiency resonates with ongoing discussions in the AI field about optimizing neural network training processes.

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