Abstract: In received signal strength (RSS)-based visible light positioning (VLP) systems, weighted k-nearest neighbors (WKNN) and its improved algorithms based on distance metrics are widely used for ...
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 ...
Abstract: Computing maximum matchings in bipartite graphs is an important problem with applications in domains such as resource allocation, chemical analysis, and bioinformatics. The leading ...
If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...
LEAP is a general purpose Evolutionary Computation package that combines readable and easy-to-use syntax for search and optimization algorithms with powerful distribution and visualization features.
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