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Post-training quantization (PTQ) has emerged as a practical approach to compress large neural networks, making them highly efficient for deployment. However, effectively reducing these models to their ...
This paper presents an efficient binary search-like algorithm for vector quantization (VQ). The proposed algorithm adopts a tree-structured VQ with overlapped codewords (TSOC) to reduce computational ...
Accurate characterization of reservoir flow fields is critical for enhancing oil recovery in water flooding oil fields. Current methodologies lack standardized criteria for selecting influential ...
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