Author

E. Frolov

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#artificial intelligence Preprint Sep 2026

Scalable Kronecker-Fisher Approximation: Efficient Hessian Analysis for Billion-Parameter Language Models Compression

In this paper, we propose a scalable Kronecker-based approximation that captures cross-layer interactions without storing the entire Fisher matrix, enabling practical Hessian analysis for billion-parameter networks where full computation is infeasible. Our approach reveals consistent vulnerability patterns: value proje...

Viacheslav Yusupov, Daria Cherniuk, E. Frolov · 0 citations

Conference Open access 2026

Fast and Accurate Fisher-Guided Quantization via Efficient Kronecker Factorization

This work proposes an efficient Kronecker-factored approximation yielding state-of-the-art performance when integrated into existing quantization schemes, and substantially accelerates the most expensive component in second-order quantization – Hessian parameterization – achieving up to a 10× speedup over prior approac...

Viktoriia Chekalina, Gerasin Timofey, Andrey Kuznetsov et al. · Annual Meeting of the Associ... · 0 citations