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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
10442011
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
7022012
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
1962012
A random matrix approach to neural networks
C Louart, Z Liao, R Couillet
The Annals of Applied Probability 28 (2), 1190-1248, 2018
1762018
Large dimensional analysis and optimization of robust shrinkage covariance matrix estimators
R Couillet, M McKay
Journal of Multivariate Analysis 131, 99-120, 2014
1192014
Kernel spectral clustering of large dimensional data
R Couillet, F Benaych-Georges
1152016
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
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
962020
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
902015
Robust M-estimation for Array Processing: a random matrix approach
R Couillet, F Pascal, JW Silverstein
IEEE Trans. Signal Process, 2012
82*2012
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
682011
Signal processing in large systems: A new paradigm
R Couillet, M Debbah
IEEE Signal Processing Magazine 30 (1), 24-39, 2012
672012
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
662015
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
652020
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
642018
A large dimensional analysis of least squares support vector machines
Z Liao, R Couillet
IEEE Transactions on Signal Processing 67 (4), 1065-1074, 2019
622019
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
622012
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
582019
Reducing the computational complexity of multicasting in large-scale antenna systems
M Sadeghi, L Sanguinetti, R Couillet, C Yuen
IEEE Transactions on Wireless Communications 16 (5), 2963-2975, 2017
582017
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