A dithered one-bit compressed sensing estimator over ReLU generative priors achieves O~(kn log d / epsilon^2) uniform recovery and a benign optimization landscape under a weight distribution condition.
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Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis
A dithered one-bit compressed sensing estimator over ReLU generative priors achieves O~(kn log d / epsilon^2) uniform recovery and a benign optimization landscape under a weight distribution condition.