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Entropic Optimal Transport in Random Graphs

Nicolas Keriven
2022
Preprints, Working Papers, ... hal-03576738v1
Image document

Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs

Matthieu Cordonnier , Nicolas Keriven , Nicolas Tremblay , Samuel Vaiter
2023
Preprints, Working Papers, ... hal-04059402v2
Image document

Gradient scarcity with Bilevel Optimization for Graph Learning

Hashem Ghanem , Samuel Vaiter , Nicolas Keriven
2023
Preprints, Working Papers, ... hal-04041721v1

Support Localization and the Fisher Metric for off-the-grid Sparse Regularization

Clarice Poon , Nicolas Keriven , Gabriel Peyré
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019, Naha, Japan
Conference papers hal-02367999v1
Image document

Large-Scale High-Dimensional Clustering with Fast Sketching

Antoine Chatalic , Rémi Gribonval , Nicolas Keriven
ICASSP 2018 - IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Canada. pp.4714-4718, ⟨10.1109/ICASSP.2018.8461328⟩
Conference papers hal-01701121v1

Stability of Entropic Wasserstein Barycenters and application to random geometric graphs

Marc Theveneau , Nicolas Keriven
2022
Preprints, Working Papers, ... hal-03852485v1

Convergence and Stability of Graph Convolutional Networks on Large Random Graphs

Nicolas Keriven , Alberto Bietti , Samuel Vaiter
NeurIPS 2020 - 34th Conference on Neural Information Processing Systems, Dec 2020, Vancouver (virtual), Canada
Conference papers hal-02976711v1

Universal Invariant and Equivariant Graph Neural Networks

Nicolas Keriven , Gabriel Peyré
Advances in Neural Information Processing Systems (NeurIPS), 2019, Vancouver, Canada
Conference papers hal-02484980v1
Image document

Sketching for Large-Scale Learning of Mixture Models

Nicolas Keriven , Anthony Bourrier , Rémi Gribonval , Patrick Pérez
Information and Inference, 2018, 7 (3), pp.447-508. ⟨10.1093/imaiai/iax015⟩
Journal articles hal-01329195v2
Image document

Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Random Graphs

Matthieu Cordonnier , Nicolas Keriven , Nicolas Tremblay , Samuel Vaiter
GSP 2023 - 6th Graph Signal Processing workshop (GSP 2023), Jun 2023, Oxford, United Kingdom
Conference papers hal-04106511v1
Image document

Sketching for large-scale learning of mixture models

Nicolas Keriven
Machine Learning [stat.ML]. Université de Rennes, 2017. English. ⟨NNT : 2017REN1S055⟩
Theses tel-01620815v2
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Sketching for Large-Scale Learning of Mixture Models

Nicolas Keriven , Anthony Bourrier , Rémi Gribonval , Patrick Pérez
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Mar 2016, Shanghai, China
Conference papers hal-01208027v3
Image document

Compressive K-means

Nicolas Keriven , Nicolas Tremblay , Yann Traonmilin , Rémi Gribonval
ICASSP 2017 - IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2017, New Orleans, United States
Conference papers hal-01386077v4
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Instance Optimal Decoding and the Restricted Isometry Property

Nicolas Keriven , Rémi Gribonval
8th International Conference on New Computational Methods for Inverse Problems (NCMIP), May 2018, Cachan, France. pp.012002, ⟨10.1088/1742-6596/1131/1/012002⟩
Conference papers hal-01718411v2

NEWMA: a new method for scalable model-free online change-point detection

Nicolas Keriven , Damien Garreau , Iacopo Poli
IEEE Transactions on Signal Processing, 2020, 68, pp.3515 - 3528. ⟨10.1109/TSP.2020.2990597⟩
Journal articles hal-02484988v1

Fast Graph Kernel with Optical Random Features

Hashem Ghanem , Nicolas Keriven , Nicolas Tremblay
ICASSP 2021 - IEEE International Conference on Acoustics, Speech, and Signal Processing, Jun 2021, Toronto, Canada. ⟨10.1109/ICASSP39728.2021.9413614⟩
Conference papers hal-02976716v1

On the Universality of Graph Neural Networks on Large Random Graphs

Nicolas Keriven , Alberto Bietti , Samuel Vaiter
NeurIPS 2021 - 35th Conference on Neural Information Processing Systems, Dec 2021, Virtual, Canada
Conference papers hal-03382553v1
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Statistical Learning Guarantees for Compressive Clustering and Compressive Mixture Modeling

Rémi Gribonval , Gilles Blanchard , Nicolas Keriven , Yann Traonmilin
Mathematical Statistics and Learning, 2021, 3 (2), pp.165-257. ⟨10.4171/msl/21⟩
Journal articles hal-02536818v3
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Compressive Statistical Learning with Random Feature Moments

Rémi Gribonval , Gilles Blanchard , Nicolas Keriven , Yann Traonmilin
Mathematical Statistics and Learning, 2021, 3 (2), pp.113-164. ⟨10.4171/msl/20⟩
Journal articles hal-01544609v5
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What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding

Nicolas Keriven , Samuel Vaiter
2023
Preprints, Working Papers, ... hal-04103771v1

Not too little, not too much: a theoretical analysis of graph (over)smoothing

Nicolas Keriven
NeurIPS 2022 - 36th Conference on Neural Information Processing Systems, Nov 2022, New Orleans, United States
Conference papers hal-03778245v1

The geometry of off-the-grid compressed sensing

Clarice Poon , Nicolas Keriven , Gabriel Peyré
Foundations of Computational Mathematics, 2023, 23, pp.241-327. ⟨10.1007/s10208-021-09545-5⟩
Journal articles hal-02484957v1
Image document

SketchMLbox -- A MATLAB toolbox for large-scale mixture learning

Nicolas Keriven
Software hal-02960718v1
Image document

Blind Source Separation Using Mixtures of Alpha-Stable Distributions

Nicolas Keriven , Antoine Deleforge , Antoine Liutkus
ICASSP: International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Canada. pp.771-775, ⟨10.1109/ICASSP.2018.8462095⟩
Conference papers hal-01633215v3
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Projections aléatoires pour l'apprentissage compressif

Antoine Chatalic , Nicolas Keriven , Rémi Gribonval
GRETSI 2019 − XXVIIème Colloque francophone de traitement du signal et des images, Aug 2019, Lille, France. pp.1-4
Conference papers hal-02154803v1
Image document

Sketching Datasets for Large-Scale Learning (long version)

Rémi Gribonval , Antoine Chatalic , Nicolas Keriven , Vincent Schellekens , Laurent Jacques , et al.
2021
Preprints, Working Papers, ... hal-02909766v2

Sparse and Smooth: improved guarantees for Spectral Clustering in the Dynamic Stochastic Block Model

Nicolas Keriven , Samuel Vaiter
2020
Preprints, Working Papers, ... hal-02484970v1