Guillaume Braun

12 papers A* 1A 3Journal 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Neuron Block Dynamics for XOR Classification with Zero-Margin.
CoRR
Guillaume Braun, Masaaki Imaizumi
2026 J jnl
Spectral Gradient Descent Mitigates Anisotropy-Driven Misalignment: A Case Study in Phase Retrieval.
CoRR
Guillaume Braun, Han Bao, Wei Huang, Masaaki Imaizumi
2025 J jnl
Fast Escape, Slow Convergence: Learning Dynamics of Phase Retrieval under Power-Law Data.
CoRR
Guillaume Braun, Bruno Loureiro, Ha Quang Minh, Masaaki Imaizumi
2025 A conf
Learning a Single Index Model from Anisotropic Data with Vanilla Stochastic Gradient Descent.
AISTATS
Guillaume Braun, Minh Ha Quang, Masaaki Imaizumi
2025 J jnl
Learning a Single Index Model from Anisotropic Data with vanilla Stochastic Gradient Descent.
CoRR
Guillaume Braun, Minh Ha Quang, Masaaki Imaizumi
2024 J jnl
Seeded Graph Matching for the Correlated Gaussian Wigner Model via the Projected Power Method.
J. Mach. Learn. Res.
Ernesto Araya Valdivia, Guillaume Braun, Hemant Tyagi
2024 A conf
VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates.
AISTATS
Guillaume Braun, Masashi Sugiyama
2024 J jnl
VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates.
CoRR
Guillaume Braun, Masashi Sugiyama
2022 A* conf
An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees.
ICML
Guillaume Braun, Hemant Tyagi, Christophe Biernacki
2021 J jnl
An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees.
CoRR
Guillaume Braun, Hemant Tyagi, Christophe Biernacki
2021 A conf
Clustering multilayer graphs with missing nodes.
AISTATS
Guillaume Braun, Hemant Tyagi, Christophe Biernacki
2021 J jnl
Clustering multilayer graphs with missing nodes.
CoRR
Guillaume Braun, Hemant Tyagi, Christophe Biernacki