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Nicolas Keriven
Nicolas Keriven
CNRS, GIPSA-lab
Verified email at cnrs.fr - Homepage
Title
Cited by
Cited by
Year
Universal invariant and equivariant graph neural networks
N Keriven, G Peyré
Advances in Neural Information Processing Systems 32, 2019
1562019
Sketching for large-scale learning of mixture models
N Keriven, A Bourrier, R Gribonval, P Pérez
Information and Inference: A Journal of the IMA 7 (3), 447-508, 2018
822018
Compressive K-means
N Keriven, N Tremblay, Y Traonmilin, R Gribonval
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
642017
Compressive statistical learning with random feature moments
R Gribonval, G Blanchard, N Keriven, Y Traonmilin
Mathematical Statistics and Learning 3 (2), 113-164, 2021
592021
Convergence and Stability of Graph Convolutional Networks on Large Random Graphs
N Keriven, A Bietti, S Vaiter
Advances in Neural Information Processing Systems 33, 21512--21523, 2020
282020
The geometry of off-the-grid compressed sensing
C Poon, N Keriven, G Peyré
Foundations of Computational Mathematics, 1-87, 2021
21*2021
NEWMA: a new method for scalable model-free online change-point detection
N Keriven, D Garreau, I Poli
IEEE Transactions on Signal Processing 68, 3515-3528, 2020
212020
Non-negative group sparsity with subspace note modelling for polyphonic transcription
K O’Hanlon, H Nagano, N Keriven, MD Plumbley
IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (3), 530-542, 2016
192016
Large-scale high-dimensional clustering with fast sketching
A Chatalic, R Gribonval, N Keriven
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
182018
Support localization and the fisher metric for off-the-grid sparse regularization
C Poon, N Keriven, G Peyré
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
172019
Blind source separation using mixtures of alpha-stable distributions
N Keriven, A Deleforge, A Liutkus
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
122018
Sparse and smooth: improved guarantees for spectral clustering in the dynamic stochastic block model
N Keriven, S Vaiter
Electronic Journal of Statistics 16 (1), 1330 - 1366, 2022
102022
Sketching data sets for large-scale learning: Keeping only what you need
R Gribonval, A Chatalic, N Keriven, V Schellekens, L Jacques, P Schniter
IEEE Signal Processing Magazine 38 (5), 12-36, 2021
92021
Statistical learning guarantees for compressive clustering and compressive mixture modeling
R Gribonval, G Blanchard, N Keriven, Y Traonmilin
Mathematical Statistics and Learning 3 (2), 165-257, 2021
92021
Instance optimal decoding and the restricted isometry property
N Keriven, R Gribonval
Journal of Physics: Conference Series 1131 (1), 012002, 2018
82018
Structured sparsity using backwards elimination for automatic music transcription
N Keriven, K O'Hanlon, MD Plumbley
2013 IEEE International Workshop on Machine Learning for Signal Processing …, 2013
82013
SketchMLbox: a Matlab toolbox for large-scale learning of mixture models
N Keriven, N Tremblay, R Gribonval
72016
Sketching datasets for large-scale learning (long version)
R Gribonval, A Chatalic, N Keriven, V Schellekens, L Jacques, P Schniter
arXiv preprint arXiv:2008.01839, 2020
62020
On the Universality of Graph Neural Networks on Large Random Graphs
N Keriven, A Bietti, S Vaiter
Advances in Neural Information Processing Systems 34, 2021
52021
Spikes super-resolution with random Fourier sampling
N Keriven, R Gribonval, G Blanchard
SPARS workshop 2017, 2017
42017
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