Tremblay, Nicolas

7 publications

JMLR 2024 Convergence of Message-Passing Graph Neural Networks with Generic Aggregation on Large Random Graphs Matthieu Cordonnier, Nicolas Keriven, Nicolas Tremblay, Samuel Vaiter

AISTATS 2023 A Faster Sampler for Discrete Determinantal Point Processes Simon Barthelmé, Nicolas Tremblay, Pierre-Olivier Amblard

JMLR 2021 A Unified Framework for Spectral Clustering in Sparse Graphs Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay

NeurIPS 2020 Community Detection in Sparse Time-Evolving Graphs with a Dynamical Bethe-Hessian Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay

JMLR 2019 Determinantal Point Processes for Coresets Nicolas Tremblay, Simon Barthelmé, Pierre-Olivier Amblard

NeurIPS 2019 Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay

ICML 2016 Compressive Spectral Clustering Nicolas Tremblay, Gilles Puy, Remi Gribonval, Pierre Vandergheynst