Guilhem Semerjian

École Normale Supérieure

H-index: 26

Europe-France

Guilhem Semerjian, With an exceptional h-index of 26 and a recent h-index of 16 (since 2020), a distinguished researcher at École Normale Supérieure,

His recent articles reflect a diverse array of research interests and contributions to the field:

Matrix denoising: Bayes-optimal estimators via low-degree polynomials

The cavity method: from exact solutions to algorithms

Statistical limits of correlation detection in trees

Aligning random graphs with a sub-tree similarity message-passing algorithm

Recovery thresholds in the sparse planted matching problem

The asymptotics of the clustering transition for random constraint satisfaction problems

Biased measures for random constraint satisfaction problems: larger interaction range and asymptotic expansion

Title	Journal	Author(s)	Publication Date
Matrix denoising: Bayes-optimal estimators via low-degree polynomials	arXiv preprint arXiv:2402.16719	Guilhem Semerjian	2024/2/26
The cavity method: from exact solutions to algorithms		Alfredo Braunstein Guilhem Semerjian	2023
Statistical limits of correlation detection in trees	arXiv preprint arXiv:2209.13723	Luca Ganassali Laurent Massoulié Guilhem Semerjian	2022/9/27
Aligning random graphs with a sub-tree similarity message-passing algorithm	Journal of Statistical Mechanics: Theory and Experiment	Giovanni Piccioli Guilhem Semerjian Gabriele Sicuro Lenka Zdeborová	2022/6/9
Recovery thresholds in the sparse planted matching problem	Physical Review E	Guilhem Semerjian Gabriele Sicuro Lenka Zdeborová	2020/8/6
The asymptotics of the clustering transition for random constraint satisfaction problems	Journal of Statistical Physics	Louise Budzynski Guilhem Semerjian	2020/12
Biased measures for random constraint satisfaction problems: larger interaction range and asymptotic expansion	Journal of Statistical Mechanics: Theory and Experiment	Louise Budzynski Guilhem Semerjian	2020/10/30

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