Abstract: The Zak transform can directly map signals from the delay-Doppler domain to the time domain, which has a relatively low complexity for orthogonal time frequency space (OTFS) signal ...
Abstract: The Resource-Constrained Shortest Path Problem (RCSPP) is a fundamental NP-hard optimization challenge with broad applications ranging from network routing and logistics to autonomous ...
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 ...