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Romain COUILLET
Romain COUILLET
UGA IDEX DataScience Chair, GIPSA-lab, University Grenoble-Alpes
Verified email at gipsa-lab.grenoble-inp.fr - Homepage
Title
Cited by
Cited by
Year
Random matrix methods for wireless communications
R Couillet, M Debbah
Cambridge University Press, 2011
10472011
Large system analysis of linear precoding in correlated MISO broadcast channels under limited feedback
S Wagner, R Couillet, M Debbah, DTM Slock
IEEE transactions on information theory 58 (7), 4509-4537, 2012
7122012
A deterministic equivalent for the analysis of correlated MIMO multiple access channels
R Couillet, M Debbah, JW Silverstein
IEEE Transactions on Information Theory 57 (6), 3493-3514, 2011
2072011
Electrical vehicles in the smart grid: A mean field game analysis
R Couillet, SM Perlaza, H Tembine, M Debbah
IEEE Journal on Selected Areas in Communications 30 (6), 1086-1096, 2012
1982012
A random matrix approach to neural networks
C Louart, Z Liao, R Couillet
The Annals of Applied Probability 28 (2), 1190-1248, 2018
1882018
Large dimensional analysis and optimization of robust shrinkage covariance matrix estimators
R Couillet, M McKay
Journal of Multivariate Analysis 131, 99-120, 2014
1152014
Kernel spectral clustering of large dimensional data
R Couillet, F Benaych-Georges
1112016
A random matrix analysis of random fourier features: beyond the gaussian kernel, a precise phase transition, and the corresponding double descent
Z Liao, R Couillet, MW Mahoney
Advances in Neural Information Processing Systems 33, 13939-13950, 2020
1062020
Large system analysis of linear precoding in MISO broadcast channels with confidential messages
G Geraci, R Couillet, J Yuan, M Debbah, IB Collings
IEEE Journal on Selected Areas in Communications 31 (9), 1660-1671, 2013
1052013
The random matrix regime of Maronna’s M-estimator with elliptically distributed samples
R Couillet, F Pascal, JW Silverstein
Journal of Multivariate Analysis 139, 56-78, 2015
872015
Robust M-estimation for Array Processing: a random matrix approach
R Couillet, F Pascal, JW Silverstein
IEEE Trans. Signal Process, 2012
82*2012
Random matrix theory proves that deep learning representations of gan-data behave as gaussian mixtures
MEA Seddik, C Louart, M Tamaazousti, R Couillet
International Conference on Machine Learning, 8573-8582, 2020
722020
Signal processing in large systems: A new paradigm
R Couillet, M Debbah
IEEE Signal Processing Magazine 30 (1), 24-39, 2012
672012
High-dimensional MVDR beamforming: Optimized solutions based on spiked random matrix models
L Yang, MR McKay, R Couillet
IEEE Transactions on Signal Processing 66 (7), 1933-1947, 2018
652018
A robust statistics approach to minimum variance portfolio optimization
L Yang, R Couillet, MR McKay
IEEE Transactions on Signal Processing 63 (24), 6684-6697, 2015
652015
Eigen-inference for energy estimation of multiple sources
R Couillet, JW Silverstein, Z Bai, M Debbah
IEEE Transactions on Information Theory 57 (4), 2420-2439, 2011
652011
Random matrix methods for machine learning
R Couillet, Z Liao
Cambridge University Press, 2022
632022
On the spectrum of random features maps of high dimensional data
Z Liao, R Couillet
International Conference on Machine Learning, 3063-3071, 2018
622018
Fluctuations of spiked random matrix models and failure diagnosis in sensor networks
R Couillet, W Hachem
IEEE Transactions on Information Theory 59 (1), 509-525, 2012
612012
A large scale analysis of logistic regression: Asymptotic performance and new insights
X Mai, Z Liao, R Couillet
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
592019
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