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: Distributed optimization finds many applications in machine learning, signal processing, and control systems. In these real-world applications, the constraints of communication networks, ...
On the eve of America’s semiquincentennial, the U.S. Military Academy at West Point is honoring its forefathers as it prepares to face off against the U.S. Naval Academy on Saturday. In its 10th ...
Abstract: Solving dynamic multiobjective optimization problems (DMOPs) is very challenging due to the requirements to respond rapidly and precisely to changes in an environment. Many prediction- and ...
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