I am a Ph.D. student at Inria Lille - Nord Europe in MODAL team since January 2020. I work under the direction of Christophe Biernacki and Hemant Tyagi on inverse problems on graphs (mostly clustering and matching problems). I’m particulary interested in iterative methods including model-based approaches like EM algorithms and model-free approaches like generalized power methods. I’m also familiar with spectral methods, perturbation theory and concentration inequalities.
Minimax Optimal Clustering of Bipartite Graphs with a Generalized Power Method
G. Braun and H. Tyagi [ArXiv]
Seeded graph matching for the correlated Wigner model via the projected power method
E. Araya, G. Braun and H. Tyagi [ArXiv]
An iterative clustering algorithm for the Contextual StochasticBlock Model with optimality guarantees
G. Braun, H. Tyagi, and C. Biernacki, to appear in ICML 2022. [ArXiv]
Clustering multilayer graphs with missing nodes
G. Braun, H. Tyagi, and C. Biernacki, 24th International Conference on Artificial Intelligence and Statistics, 2021, 2260-2268. [PMLR] [Code][Poster]
An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees
MODAL Seminar, Lille (online), November 30th, 2021
Clustering graphs with side information
SPSR Workshop, Bucharest (online), November 19th, 2021
Clustering multilayer graphs with missing nodes
MODAL Seminar, Lille, November 2020 [Slides]
My detailed CV is avaible here
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