Student Supervision

Université Gustave Eiffel (2025-today)

Master’s thesis:

Djafarou Oulare on data thinning for model selection in unsupervised learning (2026).

Intern students (program Summer@EPFL in 2023 and 2024):

Alperen Gözeten on clustering sub-exponential mixture models. Paper accepted at COLT 2024). Now PhD student at University of Michigan.
Elaine Siyu Liu on clustering under degree-heterogeneity. Now PhD student at Stanford.

Master’s thesis:

Oleg Fafurin on graph sparsification using shortest paths (2024).
Robin Jaccard on Bayesian Optimization for Mixed-Membership Community Detection (co-supervised with Anthony Bardou) (2025).
Lorenzo Ferri (co-supervised with Daichi Kuroda) on spectral clustering on weighted graphs (2025).

Student projects:

Charbel Chucri on graph sparsification using shortest paths (2023) and robust clustering (2024). Paper accepted at NeurIPS 2024.
Robin Jaccard on source localisation in random graphs (2023).
Felipe Schreiber on clustering networks with node attributes using Bregman divergences (2023). Master student at Universidade Federal do Rio de Janeiro (UFRJ), co-supervised with avec Daniel Ratton Figueiredo. Paper accepted at NeurIPS 2023.
Patrick Trindade (2024) on efficient estimation of closeness centrality and eccentricity in large networks. (Bachelor student at Universidade Federal do Rio de Janeiro (UFRJ), co-supervised with Daniel Ratton Figueiredo). Paper accepted at Complenet 2025.