Derives lower bounds on diffusion model error for radio map estimation under ultra-low sampling, governed by distribution mismatch, plus a convergence threshold and empirical approximations validated on real traces.
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Theoretical Analysis of Diffusion Models for Radio Map Estimation with Ultra-low Sampling Rates
Derives lower bounds on diffusion model error for radio map estimation under ultra-low sampling, governed by distribution mismatch, plus a convergence threshold and empirical approximations validated on real traces.
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LensKit-Auto
LensKit-Auto is updated for compatibility with the latest LensKit, adding Tree Parzen Estimator optimization, algorithm reuse, visualization, documentation, and meta-learning dataset preparation.