activity
20242026
collaborators

15 papers

math.ST2026

Fundamental Limits of Query-Based Subgraph Detection

Wasim Huleihel

The planted subgraph detection problem asks whether a random graph contains a hidden structured subgraph. In the classical formulation, the entire adjacency matrix is observed and…

cs.IT2026

Recovery of Planted Subgraphs

Wasim Huleihel

Understanding the fundamental limits of recovering planted subgraphs in random graphs is a central challenge in high-dimensional statistics and theoretical computer science. While…

cs.IT2026

Robust Detection of Planted Subgraphs in Semi-Random Models

Dor Elimelech, Wasim Huleihel

Detection of planted subgraphs in Erdös-Rényi random graphs has been extensively studied, leading to a rich body of results characterizing both statistical and computational thre…

cs.IT2026

Testing for a Hidden Geometry in Random Graphs

Amit Silber, Mor Oren-Loberman, Wasim Huleihel

We study the problem of detecting a faint geometric signal hidden in an otherwise random graph. Formally, we consider a hypothesis testing problem in which, under the null, the obs…

math.ST2026

Inhomogeneous Submatrix Detection

Mor Oren-Loberman, Dvir Jerbi, Tamir Bendory +1

In this paper, we study the problem of detecting multiple hidden submatrices in a large Gaussian random matrix when the planted signal is inhomogeneous across entries. Under the nu…

eess.SP2026

Einstein from Noise: Statistical Analysis

Amnon Balanov, Wasim Huleihel, Tamir Bendory

``Einstein from noise" (EfN) is a prominent example of the model bias phenomenon: systematic errors in the statistical model that lead to spurious but consistent estimates. In the…