Nicolas Keriven
Nicolas Keriven
CNRS, GIPSA-lab
Verified email at gipsa-lab.grenoble-inp.fr - Homepage
Title
Cited by
Cited by
Year
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
392018
Compressive statistical learning with random feature moments
R Gribonval, G Blanchard, N Keriven, Y Traonmilin
arXiv preprint arXiv:1706.07180, 2017
392017
Compressive K-means
N Keriven, N Tremblay, Y Traonmilin, R Gribonval
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
37*2017
Universal invariant and equivariant graph neural networks
N Keriven, G Peyré
Advances in Neural Information Processing Systems, 7092-7101, 2019
362019
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
162016
NEWMA: a new method for scalable model-free online change-point detection
N Keriven, D Garreau, I Poli
IEEE Transactions on Signal Processing, 2020
82020
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
82019
Large-scale high-dimensional clustering with fast sketching
A Chatalic, R Gribonval, N Keriven
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
72018
SketchMLbox: a Matlab toolbox for large-scale learning of mixture models
N Keriven, N Tremblay, R Gribonval
72016
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
72013
A dual certificates analysis of compressive off-the-grid recovery
C Poon, N Keriven, G Peyré
arXiv preprint arXiv:1802.08464, 10, 2018
62018
Spikes super-resolution with random Fourier sampling
Y Traonmilin, N Keriven, R Gribonval, G Blanchard
SPARS workshop 2017, 2017
42017
Sparse and smooth: improved guarantees for spectral clustering in the dynamic stochastic block model
N Keriven, S Vaiter
arXiv preprint arXiv:2002.02892, 2020
32020
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
32018
Exploiting the distance information of the interaural level difference for binaural robot motion control
A Magassouba, N Bertin, F Chaumette
IEEE Robotics and Automation Letters 3 (3), 2048-2055, 2018
22018
Instance Optimal Decoding and the Restricted Isometry Property
N Keriven, R Gribonval
International Conference on New Computational Methods for Inverse Problems …, 2018
12018
The geometry of off-the-grid compressed sensing
C Poon, N Keriven, G Peyré
arXiv preprint arXiv:1802.08464, 2018
12018
Convergence and Stability of Graph Convolutional Networks on Large Random Graphs
N Keriven, A Bietti, S Vaiter
arXiv preprint arXiv:2006.01868, 2020
2020
Statistical Learning Guarantees for Compressive Clustering and Compressive Mixture Modeling
R Gribonval, G Blanchard, N Keriven, Y Traonmilin
arXiv preprint arXiv:2004.08085, 2020
2020
Projections aléatoires pour l'apprentissage compressif
A Chatalic, N Keriven, R Gribonval
2019
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