Romain COUILLET

Professor

L2S, CentraleSupélec
Bât. Breguet A5.16
3 rue Joliot Curie
91190 Gif-sur-Yvette, France

+33 (0)1 69 85 14 36

Publications

Journal articles

Random matrix-improved estimation of covariance matrix distances

Romain Couillet, Malik Tiomoko, Steeve Zozor, Eric Moisan
Journal of Multivariate Analysis, 2019

A Large Dimensional Analysis of Least Squares Support Vector Machines

Zhenyu Liao, Romain Couillet
IEEE Transactions on Signal Processing, 2019

Large-Dimensional Behavior of Regularized Maronna’s M-Estimators of Covariance Matrices

Nicolas Auguin, David Morales-Jimenez, Matthew Mckay, Romain Couillet
IEEE Transactions on Signal Processing, 2018

High-Dimensional MVDR Beamforming: Optimized Solutions Based on Spiked Random Matrix Models

Liusha Yang, Matthew Mckay, Romain Couillet
IEEE Transactions on Signal Processing, 2018

Optimal Design of the Adaptive Normalized Matched Filter Detector

Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini
IEEE Transactions on Aerospace and Electronic Systems, 2018

Gallager Bound for MIMO Channels: Large- $N$ Asymptotics

Apostolos Karadimitrakis, Aris Moustakas, Romain Couillet
IEEE Transactions on Wireless Communications, 2018

Improved spectral community detection in large heterogeneous networks

Hafiz Tiomoko Ali, Romain Couillet
Journal of Machine Learning Research, 2018

A RANDOM MATRIX APPROACH TO NEURAL NETWORKS

Cosme Louart, Zhenyu Liao, Romain Couillet
Annals of Applied Probability, 2018

Large System Analysis of Power Normalization Techniques in Massive MIMO

Meysam Sadeghi, Luca Sanguinetti, Romain Couillet, Chau Yuen
IEEE Transactions on Vehicular Technology, 2017

Reducing the Computational Complexity of Multicasting in Large-Scale Antenna Systems

Meysam Sadeghi, Luca Sanguinetti, Romain Couillet, Chau Yuen
IEEE Transactions on Wireless Communications, 2017

Conference papers

DECIPHERING AND OPTIMIZING MULTI-TASK LEARNING: A RANDOM MATRIX APPROACH

Malik Tiomoko, Hafiz Tiomoko, Romain Couillet
International Conference on Learning Representations 2021

Sparse Quantized Spectral Clustering

Zhenyu Liao, Romain Couillet, Michael Mahoney
The Ninth International Conference on Learning Representations (ICLR)

Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian

Lorenzo Dall’Amico, Romain Couillet, Nicolas Tremblay
34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada

A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent

Zhenyu Liao, Romain Couillet, Michael Mahoney
34th Conference on Neural Information Processing Systems (NeurIPS 2020)

Performance-Complexity Trade-Off in Large Dimensional Statistics

Tayeb Zarrouk, Romain Couillet, Florent Chatelain, Nicolas Le Bihan
MLSP 2020 – IEEE 30th International Workshop on Machine Learning for Signal Processing

Large Dimensional Asymptotics of Multi-Task Learning

Malik Tiomoko, Cosme Louart, Romain Couillet
ICASSP 2020 – IEEE International Conference on Acoustics, Speech and Signal Processing

Optimal Laplacian Regularization for Sparse Spectral Community Detection

Lorenzo Dall’Amico, Romain Couillet, Nicolas Tremblay
ICASSP 2020 – IEEE International Conference on Acoustics, Speech and Signal Processing

Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures

Mohamed El Amine Seddik, Cosme Louart, Mohamed Tamaazousti, Romain Couillet
ICML 2020 : Thirty-seventh International Conference on Machine Learning

A Random Matrix Analysis of Learning with α-Dropout

Mohamed El Amine Seddik, Romain Couillet, Mohamed Tamaazousti
ICML (Artemiss Workshop)

Estimation of Covariance Matrix Distances in the High Dimension Low Sample Size Regime

Malik Tiomoko, Romain Couillet
CAMSAP 2019 – 8th IEEE workshop on Computational Advances in Multi-Sensor Adaptive Processing

Books

Random matrix theory

Romain Couillet, Merouane Debbah

Random Matrix Methods for Wireless Communications

Romain Couillet, Merouane Debbah

Réseaux à petites cellules économes en énergie

Jakob Hoydis, Romain Couillet, Merouane Debbah

Radio Engineering: From Software Radio to Cognitive Radio

Jacques Palicot, Christophe Moy, Sufi Tabassum Gul, Merouane Debbah, Romain Couillet, Hamidou Tembine, Renaud Seguier, Daniel Le Guennec, Wassim Jouini, Gilles Tourneur, Yves Louët, Amor Nafkha, Pierre Leray, Renaud Loison, Raphaël Gillard

De la radio logicielle à la radio intelligente

Jacques Palicot, Christophe Moy, Merouane Debbah, Romain Couillet, Hamidou Tembine, Renaud Séguier, Daniel Le Guennec, Wassim Jouini, Gilles Tourneur, Yves Louët, Amor Nafkha, Pierre Leray, Renaud Loison, Raphaël Gillard

Fundamentals of OFDMA Synchronization

Romain Couillet, Merouane Debbah

Patents and software

These/HDR