turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...
# e.g., python generate_RD_curves_vgg16.py 3 1 5 -> run GPU3 to do the statistics for the 5th kernal in layer 1. # the path of checkpoint file of pre-trained VGG16 ...
Abstract: From a perspective of spatial quantization, this letter systematically investigates the advantages of reconfigurable reflectarrays (RRAs) designed with closely-spaced elements. Focused on ...
Abstract: We investigate information-theoretic limits and design of communication under receiver quantization. Unlike most existing studies that focus on low-resolution quantization, this work is more ...
Writing about AI, tech, and startups. with a focus on practical insights for builders, founders, and creators. Writing about AI, tech, and startups. with a focus on practical insights for builders, ...
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