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 ...
A Discrete Function (DF) Method for Highly Efficient Magnetization Vector Inversion of Magnetic Data
Abstract: The three-direction magnetization intensities of a source can be obtained by the magnetization vector inversion (MVI) of magnetic data, and therefore, MVI can be well applied to a magnetic ...
Abstract: Recently, gradient-based repair methods have been commonly introduced into constraint-handling techniques to handle linear and non-linear constraints. These gradient-based repair methods are ...
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