Author

Rik Sarkar

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#machine learning Preprint Oct 2026

Generalization in Neural Networks Through the Lens of Magnitude Potential

This paper introduces the idea of {\em magnitude potential} -- a quantity based on the theory of metric magnitude -- that reflects how well an arbitrary point is represented by a given set, and finds that this basic quantity can be applied to examine various features in neural generalization.

Sahel Torkamani, Henry Gouk, Rik Sarkar · 0 citations