Author

Samuel Kushnir

2 papers indexed here

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#artificial intelligence Dec 2025

OPTIMA: Optimal One-shot Pruning for LLMs via Quadratic Programming Reconstruction

An accelerator-friendly QP solver is implemented that accumulates one Hessian per weight matrix and solves many small QPs in parallel with a convergence certificate per column, enabling one-shot post-training pruning at scale on a single accelerator without fine-tuning.

Mohammad Mozaffari, Samuel Kushnir, Maryam Mehri Dehnavi et al. · arXiv.org · 2 citations

#artificial intelligence Preprint Sep 2026

Design Docs Are All You Need: An AI-native Machine-Learning Performance Tool

SMART is described, a rigorous symbolic performance-modeling library for ML systems whose main branch contains almost no code, and Regenerated implementations reproduce hand-audited reference models to round-off precision, suggesting that design docs can be the durable artifact for ML-systems co-design tools.

Samuel Kushnir, Kimia Noorbakhsh, Kavya Sreedhar et al. · 0 citations