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On the Triangle Inequality for the Jaccard Distance in Arbitrary Lattices

arXiv cs.AI ↗ · 2026-08-20 Cached

This paper generalizes the Jaccard distance to arbitrary lattices, proving triangle inequality conditions under various valuations, with applications in quantum information, formal concept analysis, and machine learning.

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#applied-mathematics

@currying: Very nice 13-page exposition!

X AI KOLs Timeline ↗ · 2026-08-03 Cached

A tweet highlights 'Understanding Transformers and Attention Mechanisms,' a 13-page paper that explains the Transformer architecture and attention from an applied mathematics perspective.

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