Author

Anshumali Shrivastava

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#machine learning Preprint Feb 2026

SOCKET: SOft Collision Kernel EsTimator for Sparse Attention

This work revisits Locality-Sensitive Hashing (LSH) and introduces SOCKET, a SOft Collision Kernel EsTimator that replaces hard bucket matches with probabilistic, similarity-aware aggregation, and reframes LSH from a candidate-generation mechanism into a principled scoring kernel for sparse attention.

Sahil Joshi, Agniva Chowdhury, W. Bellinger et al. · 3 citations