Essentially tight thresholds for detectability of latent geometry in bipartite Gaussian RGGs under Bern(q) masked edges are determined for fixed p, ruling out computational-statistical gaps via a new Fourier-analytic framework.
Blessing of dimensionality: mathematical foundations of the statistical physics of data
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Information-Theoretic Thresholds for Bipartite Latent-Space Graphs under Noisy Observations
Essentially tight thresholds for detectability of latent geometry in bipartite Gaussian RGGs under Bern(q) masked edges are determined for fixed p, ruling out computational-statistical gaps via a new Fourier-analytic framework.