SOURCE-LINKED INTELLIGENCE
Unified Response Geometry for Structured Pruning
Structured pruning is commonly formulated as ranking individual channels, although channel responses can be complementary or cancel through downstream mixing. Motivated by these response interactions, we formulate pruning as the selection of a subset with large joint response capacity, followed by a separate functional realization step. Our unified response geometry maps each candidate set to \(M(D,R)=D^{1/2}RD^{1/2}\) and uses its determinant together with Schur-greedy residuals to select non-redundant coordinates. The same construction yields two information-conditioned instances: an unlabel
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-16T07:15:09.000Z
First collected: 2026-09-20T08:01:03.945Z. This is not the publication date.