3 papers
cs.IT2026
Information-Theoretic Limits for Rectangular Spiked Matrix Models with Rotationally Invariant Noise
Qun Chen, Rudy Skerk, Jean Barbier +3
We study the information-theoretic limits of inference in rectangular rank-one spiked matrix models with additive rotationally invariant noise, thereby going beyond the standard as…
cs.IT2024
K-step Vector Approximate Survey Propagation
Qun Chen, Haochuan Zhang, Huimin Zhu
Approximate Message Passing (AMP), originally developed to address high-dimensional linear inverse problems, has found widespread applications in signal processing and statistical…
cs.IT2023
Vector Approximate Survey Propagation
Qun Chen, Haochuan Zhang, Huimin Zhu
Approximate Message Passing (AMP), originally designed to solve high-dimensional linear inverse problems, has found broad applications in signal processing and statistical inferenc…