Abstract: In binary optimization problems, where the goal is to find the input $\boldsymbol {x}$ that minimizes a given objective function, Grover adaptive search (GAS) is a well-known quantum ...
Abstract: It is a challenging task to select the informative features that can maintain the manifold structure in the original feature space. Many unsupervised feature selection methods still suffer ...
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 ...
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