A diffusion-based generative model reconstructs city-wide multi-pollutant air quality fields from sparse monitors, with realistic spectra but not the best point-wise error on real Paris data.
PloS one10(9), 0138146 (2015)
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From Deterministic to Generative Deep Learning for Urban Air Quality Reconstruction from Sparse Observations
A diffusion-based generative model reconstructs city-wide multi-pollutant air quality fields from sparse monitors, with realistic spectra but not the best point-wise error on real Paris data.