Diagonal EP under variance-profile Gaussian matrices produces Gaussian-process dynamics with profile-dependent memory instead of conventional scalar state evolution.
Approximate message passing for general non-symmetric random matrices,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Burnside processes on parking functions and Dyck paths mix in O(n log n) time, yielding approximate uniform sampling algorithms for increasing parking functions, Dyck paths, and polygon triangulations.
citing papers explorer
-
Gaussian-Process Dynamics of Diagonal Expectation Propagation under Variance-Profile Gaussian Measurements
Diagonal EP under variance-profile Gaussian matrices produces Gaussian-process dynamics with profile-dependent memory instead of conventional scalar state evolution.
-
Burnside process on parking functions and Dyck paths
Burnside processes on parking functions and Dyck paths mix in O(n log n) time, yielding approximate uniform sampling algorithms for increasing parking functions, Dyck paths, and polygon triangulations.