3 papers
math.ST2026
Recovery of latent inner products from an anisotropic Gaussian random geometric graph
Cheng Mao, Vidya Muthukumar
We study the problem of recovering latent inner products from a random geometric graph with anisotropic Gaussian latent points. More precisely, for an i.i.d. sample $x_1, \dots, x_…
math.ST2026
Geometric planted matchings in high dimensions: The power of multiple views
Timothy L. H. Wee, Kaylee Y. Yang, Zhou Fan +1
We study the problem of recovering the correspondence between a collection of points in and a noisy, permuted version of those points. In the high-dimensional re…
math.PR2026
Resolution of the Detection Threshold Conjecture for Random Geometric Graphs in the Regime
Hang Du, Cheng Mao, Nike Sun +2
A random geometric graph (RGG) is generated by first sampling latent points independently and uniformly from the unit sphere in , and then connecting…