Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...
Abstract: Artificial Neural Network (ANN) is frequently utilized for the development of behavioral models of Gallium Nitride (GaN) High Electron Mobility Transistors (HEMTs). However, exhaustive ...
What would you like to Propose? I propose adding a clean and optimized implementation of Kruskal’s Minimum Spanning Tree (MST) algorithm using Union–Find (Disjoint Set Union - DSU) data structure to ...
Abstract: Code-based cryptography is a promising post-quantum cryptographic solution against attacks enabled by classical and quantum computers. The Niederreiter cryptosystem is a well-known ...
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