Guillaume Braun
5 papers · 2021–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(10)
Venues
Top co-authors
Research topics
Machine Learning
(4)
Mathematics & Optimization
(4)
Core Methods
(3)
Mathematics
(3)
Data Science & Analytics
(2)
Applications
(2)
Optimization & Theory · Machine Learning
(2)
Computer Science
(1)
Deep Learning
(1)
Foundations
(1)
Methods
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Statistics
(1)
Keywords
stochastic block model
(3)
feature learning
(1)
graph clustering
(1)
graph matching
(1)
graph analysis
(1)
sample complexity
(1)
community detection
(1)
iterative refinement
(1)
dimension reduction
(1)
network analysis
(1)
covariance structure
(1)
network clustering
(1)
clustering algorithm
(1)
learning dynamics
(1)
single-index model
(1)
multilayer graph
(1)
missing data
(1)
iterative algorithm
(1)
vectorial edge covariate
(1)
latent community
(1)
Papers
Learning a Single Index Model from Anisotropic Data with Vanilla Stochastic Gradient Descent
AISTATS 2025
Seeded Graph Matching for the Correlated Gaussian Wigner Model via the Projected Power Method
JMLR 2024
VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates
AISTATS 2024
An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees
ICML 2022
Clustering multilayer graphs with missing nodes
AISTATS 2021