Romain Couillet

210 papers A* 14A 2B 15Misc 30Journal 109Unranked 39

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Large Dimensional Analysis of Multi-Task Semi-Supervised Learning. IEEE Trans. Signal Process. Victor Leger, Romain Couillet
2025	J	`jnl`	A Protocol to Address Ecological Redirection for Digital Practices in Organizations. CoRR Valentin Girard, Antoine Martin, Maud Rio, Romain Couillet
2025	J	`jnl`	A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation. J. Mach. Learn. Res. Hugo Lebeau, Florent Chatelain, Romain Couillet
2025	J	`jnl`	Computing, Complexity and Degrowth : Systemic Considerations for Digital De-escalation. CoRR Valentin Girard, Maud Rio, Romain Couillet
2024	J	`jnl`	A Large Dimensional Analysis of Multi-task Semi-Supervised Learning. CoRR Victor Leger, Romain Couillet
2024	J	`jnl`	A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation. CoRR Hugo Lebeau, Florent Chatelain, Romain Couillet
2024	—	`conf`	Asymptotic Bayes Risk of Semi-Supervised Learning with Uncertain Labeling. EUSIPCO Victor Leger, Romain Couillet
2024	J	`jnl`	Asymptotic Bayes risk of semi-supervised learning with uncertain labeling. CoRR Victor Leger, Romain Couillet
2024	J	`jnl`	Asymptotic Gaussian Fluctuations of Eigenvectors in Spectral Clustering. CoRR Hugo Lebeau, Florent Chatelain, Romain Couillet
2024	J	`jnl`	Asymptotic Gaussian Fluctuations of Eigenvectors in Spectral Clustering. IEEE Signal Process. Lett. Hugo Lebeau, Florent Chatelain, Romain Couillet
2023	A	`conf`	Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture. AISTATS Minh-Toan Nguyen, Romain Couillet
2023	J	`jnl`	Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture. CoRR Minh-Toan Nguyen, Romain Couillet
2023	Misc	`conf`	Large Dimensional Analysis of LS-SVM Transfer Learning: Application to Polsar Classification. ICASSP Cyprien Doz, Chengfang Ren, Jean Philippe Ovarlez, Romain Couillet
2023	A*	`conf`	PCA-based Multi-Task Learning: a Random Matrix Approach. ICML Malik Tiomoko, Romain Couillet, Frédéric Pascal
2022	A*	`conf`	A Random Matrix Analysis of Data Stream Clustering: Coping With Limited Memory Resources. ICML Hugo Lebeau, Romain Couillet, Florent Chatelain
2022	J	`jnl`	A Random Matrix Perspective on Random Tensors. J. Mach. Learn. Res. José Henrique de Morais Goulart, Romain Couillet, Pierre Comon
2022	A*	`conf`	Random matrices in service of ML footprint: ternary random features with no performance loss. ICLR Hafiz Tiomoko Ali, Zhenyu Liao, Romain Couillet
2022	J	`jnl`	The Submerged Part of the AI-Ceberg [Perspectives]. IEEE Signal Process. Mag. Romain Couillet, Denis Trystram, Thierry Ménissier
2021	Misc	`conf`	A Large-Dimensional Analysis of Symmetric SNE. ICASSP Charles Séjourné, Romain Couillet, Pierre Comon
2021	J	`jnl`	A Random Matrix Perspective on Random Tensors. CoRR José Henrique de Morais Goulart, Romain Couillet, Pierre Comon
2021	J	`jnl`	A Unified Framework for Spectral Clustering in Sparse Graphs. J. Mach. Learn. Res. Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
2021	J	`jnl`	Consistent Semi-Supervised Graph Regularization for High Dimensional Data. J. Mach. Learn. Res. Xiaoyi Mai, Romain Couillet
2021	A*	`conf`	Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach. ICLR Malik Tiomoko, Hafiz Tiomoko Ali, Romain Couillet
2021	J	`jnl`	Multi-task learning on the edge: cost-efficiency and theoretical optimality. CoRR Sami Fakhry, Romain Couillet, Malik Tiomoko
2021	J	`jnl`	Nishimori meets Bethe: a spectral method for node classification in sparse weighted graphs. CoRR Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
2021	J	`jnl`	PCA-based Multi Task Learning: a Random Matrix Approach. CoRR Malik Tiomoko, Romain Couillet, Frédéric Pascal
2021	J	`jnl`	Random matrices in service of ML footprint: ternary random features with no performance loss. CoRR Hafiz Tiomoko Ali, Zhenyu Liao, Romain Couillet
2021	A*	`conf`	Sparse Quantized Spectral Clustering. ICLR Zhenyu Liao, Romain Couillet, Michael W. Mahoney
2021	A	`conf`	The Unexpected Deterministic and Universal Behavior of Large Softmax Classifiers. AISTATS Mohamed El Amine Seddik, Cosme Louart, Romain Couillet, Mohamed Tamaazousti
2021	A*	`conf`	Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering. ICML Romain Couillet, Florent Chatelain, Nicolas Le Bihan
2021	J	`jnl`	Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering. CoRR Romain Couillet, Florent Chatelain, Nicolas Le Bihan
2020	J	`jnl`	A Large Dimensional Study of Regularized Discriminant Analysis. IEEE Trans. Signal Process. Khalil Elkhalil, Abla Kammoun, Romain Couillet, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini
2020	A*	`conf`	A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent. NeurIPS Zhenyu Liao, Romain Couillet, Michael W. Mahoney
2020	J	`jnl`	A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent. CoRR Zhenyu Liao, Romain Couillet, Michael W. Mahoney
2020	J	`jnl`	A unified framework for spectral clustering in sparse graphs. CoRR Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
2020	A*	`conf`	Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian. NeurIPS Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
2020	J	`jnl`	Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian. CoRR Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
2020	J	`jnl`	Consistent Semi-Supervised Graph Regularization for High Dimensional Data. CoRR Xiaoyi Mai, Romain Couillet
2020	J	`jnl`	Large Dimensional Analysis and Improvement of Multi Task Learning. CoRR Malik Tiomoko Ali, Romain Couillet, Hafiz Tiomoko
2020	Misc	`conf`	Large Dimensional Asymptotics of Multi-Task Learning. ICASSP Malik Tiomoko, Cosme Louart, Romain Couillet
2020	Misc	`conf`	Optimal Laplacian Regularization for Sparse Spectral Community Detection. ICASSP Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
2020	—	`conf`	Performance-Complexity Trade-Off in Large Dimensional Statistics. MLSP Tayeb Zarrouk, Romain Couillet, Florent Chatelain, Nicolas Le Bihan
2020	A*	`conf`	Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures. ICML Mohamed El Amine Seddik, Cosme Louart, Mohamed Tamaazousti, Romain Couillet
2020	J	`jnl`	Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures. CoRR Mohamed El Amine Seddik, Cosme Louart, Mohamed Tamaazousti, Romain Couillet
2020	J	`jnl`	Sparse Quantized Spectral Clustering. CoRR Zhenyu Liao, Romain Couillet, Michael W. Mahoney
2020	B	`conf`	Word Representations Concentrate and This is Good News! CoNLL Romain Couillet, Yagmur Gizem Cinar, Éric Gaussier, Muhammad Imran
2019	—	`conf`	A Concentration of Measure Perspective to Robust Statistics. CAMSAP Cosme Louart, Romain Couillet
2019	—	`conf`	A Kernel Random Matrix-Based Approach for Sparse PCA. ICLR (Poster) Mohamed El Amine Seddik, Mohamed Tamaazousti, Romain Couillet
2019	J	`jnl`	A Large Dimensional Analysis of Least Squares Support Vector Machines. IEEE Trans. Signal Process. Zhenyu Liao, Romain Couillet
2019	Misc	`conf`	A Large Scale Analysis of Logistic Regression: Asymptotic Performance and New Insights. ICASSP Xiaoyi Mai, Zhenyu Liao, Romain Couillet
2019	—	`conf`	A Random Matrix Analysis and Optimization Framework to Large Dimensional Transfer Learning. CAMSAP Romain Couillet
2019	—	`conf`	Asymptotic Gaussian Fluctuations of Spectral Clustering Eigenvectors. CAMSAP Arun Kadavankandy, Romain Couillet
2019	Misc	`conf`	Community Detection in Sparse Realistic Graphs: Improving the Bethe Hessian. ICASSP Lorenzo Dall'Amico, Romain Couillet
2019	—	`conf`	Estimation of Covariance Matrix Distances in the High Dimension Low Sample Size Regime. CAMSAP Malik Tiomoko, Romain Couillet
2019	—	`conf`	High Dimensional Robust Classification: A Random Matrix Analysis. CAMSAP Romain Couillet
2019	Misc	`conf`	Improved Estimation of the Distance between Covariance Matrices. ICASSP Malik Tiomoko, Romain Couillet, Eric Moisan, Steeve Zozor
2019	J	`jnl`	Inner-product Kernels are Asymptotically Equivalent to Binary Discrete Kernels. CoRR Zhenyu Liao, Romain Couillet
2019	Misc	`conf`	Kernel Random Matrices of Large Concentrated Data: the Example of GAN-Generated Images. ICASSP Mohamed El Amine Seddik, Mohamed Tamaazousti, Romain Couillet
2019	Misc	`conf`	Latent Heterogeneous Multilayer Community Detection. ICASSP Hafiz Tiomoko Ali, Sijia Liu, Yasin Yilmaz, Romain Couillet, Indika Rajapakse, Alfred O. Hero III
2019	—	`conf`	On Inner-Product Kernels of High Dimensional Data. CAMSAP Zhenyu Liao, Romain Couillet
2019	J	`jnl`	Optimal Laplacian regularization for sparse spectral community detection. CoRR Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
2019	J	`jnl`	Optimized Deformed Laplacian for Spectrum-based Community Detection in Sparse Heterogeneous Graphs. CoRR Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
2019	A*	`conf`	Random Matrix Improved Covariance Estimation for a Large Class of Metrics. ICML Malik Tiomoko, Romain Couillet, Florent Bouchard, Guillaume Ginolhac
2019	J	`jnl`	Random Matrix Improved Covariance Estimation for a Large Class of Metrics. CoRR Malik Tiomoko, Florent Bouchard, Guillaume Ginolhac, Romain Couillet
2019	—	`conf`	Random Matrix-Improved Estimation of the Wasserstein Distance between two Centered Gaussian Distributions. EUSIPCO Malik Tiomoko, Romain Couillet
2019	J	`jnl`	Random Matrix-Improved Estimation of the Wasserstein Distance between two Centered Gaussian Distributions. CoRR Malik Tiomoko, Romain Couillet
2019	J	`jnl`	Random matrix-improved estimation of covariance matrix distances. J. Multivar. Anal. Romain Couillet, Malik Tiomoko, Steeve Zozor, Eric Moisan
2019	Misc	`conf`	Revisiting and Improving Semi-supervised Learning: A Large Dimensional Approach. ICASSP Xiaoyi Mai, Romain Couillet
2019	A*	`conf`	Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs. NeurIPS Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
2018	J	`jnl`	A Geometric Approach of Gradient Descent Algorithms in Neural Networks. CoRR Yacine Chitour, Zhenyu Liao, Romain Couillet
2018	Misc	`conf`	A Random Matrix and Concentration Inequalities Framework for Neural Networks Analysis. ICASSP Cosme Louart, Romain Couillet
2018	—	`conf`	Classification Asymptotics in the Random Matrix Regime. EUSIPCO Romain Couillet, Zhenyu Liao, Xiaoyi Mai
2018	J	`jnl`	Gallager Bound for MIMO Channels: Large- $N$ Asymptotics. IEEE Trans. Wirel. Commun. Apostolos Karadimitrakis, Aris L. Moustakas, Romain Couillet
2018	J	`jnl`	High-Dimensional MVDR Beamforming: Optimized Solutions Based on Spiked Random Matrix Models. IEEE Trans. Signal Process. Liusha Yang, Matthew R. McKay, Romain Couillet
2018	J	`jnl`	Large-Dimensional Behavior of Regularized Maronna's M-Estimators of Covariance Matrices. IEEE Trans. Signal Process. Nicolas Auguin, David Morales-Jiménez, Matthew R. McKay, Romain Couillet
2018	J	`jnl`	Latent heterogeneous multilayer community detection. CoRR Hafiz Tiomoko Ali, Sijia Liu, Yasin Yilmaz, Alfred O. Hero III, Romain Couillet, Indika Rajapakse
2018	A*	`conf`	On the Spectrum of Random Features Maps of High Dimensional Data. ICML Zhenyu Liao, Romain Couillet
2018	J	`jnl`	On the Spectrum of Random Features Maps of High Dimensional Data. CoRR Zhenyu Liao, Romain Couillet
2018	J	`jnl`	Optimal Design of the Adaptive Normalized Matched Filter Detector Using Regularized Tyler Estimators. IEEE Trans. Aerosp. Electron. Syst. Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini
2018	Misc	`conf`	Random Matrix Asymptotics of Inner Product Kernel Spectral Clustering. ICASSP Hafiz Tiomoko Ali, Abla Kammoun, Romain Couillet
2018	—	`conf`	Random Matrix-Improved Kernels For Large Dimensional Spectral Clustering. SSP Hafiz Tiomoko Ali, Abla Kammoun, Romain Couillet
2018	—	`conf`	Random Matrix-Optimized High-Dimensional MVDR Beamforming. SSP Liusha Yang, Matthew R. McKay, Romain Couillet
2018	J	`jnl`	Random matrix-improved estimation of covariance matrix distances. CoRR Romain Couillet, Malik Tiomoko, Steeve Zozor, Eric Moisan
2018	Misc	`conf`	Semi-Supervised Spectral Clustering. ACSSC Xiaoyi Mai, Romain Couillet
2018	A*	`conf`	The Dynamics of Learning: A Random Matrix Approach. ICML Zhenyu Liao, Romain Couillet
2018	J	`jnl`	The Dynamics of Learning: A Random Matrix Approach. CoRR Zhenyu Liao, Romain Couillet
2017	J	`jnl`	A Random Matrix Approach to Neural Networks. CoRR Cosme Louart, Zhenyu Liao, Romain Couillet
2017	J	`jnl`	A random matrix analysis and improvement of semi-supervised learning for large dimensional data. CoRR Xiaoyi Mai, Romain Couillet
2017	—	`conf`	Asymptotic performance of regularized quadratic discriminant analysis based classifiers. MLSP Khalil Elkhalil, Abla Kammoun, Romain Couillet, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini
2017	J	`jnl`	Gallager Bound for MIMO Channels: Large-N Asymptotics. CoRR Apostolos Karadimitrakis, Aris L. Moustakas, Romain Couillet
2017	Misc	`conf`	Harnessing neural networks: A random matrix approach. ICASSP Cosme Louart, Romain Couillet
2017	J	`jnl`	Improved spectral community detection in large heterogeneous networks. J. Mach. Learn. Res. Hafiz Tiomoko Ali, Romain Couillet
2017	J	`jnl`	Large System Analysis of Power Normalization Techniques in Massive MIMO. CoRR Meysam Sadeghi, Luca Sanguinetti, Romain Couillet, Chau Yuen
2017	J	`jnl`	Large System Analysis of Power Normalization Techniques in Massive MIMO. IEEE Trans. Veh. Technol. Meysam Sadeghi, Luca Sanguinetti, Romain Couillet, Chau Yuen
2017	Misc	`conf`	Random matrices meet machine learning: A large dimensional analysis of LS-SVM. ICASSP Zhenyu Liao, Romain Couillet
2017	J	`jnl`	Reducing the Computational Complexity of Multicasting in Large-Scale Antenna Systems. CoRR Meysam Sadeghi, Luca Sanguinetti, Romain Couillet, Chau Yuen
2017	J	`jnl`	Reducing the Computational Complexity of Multicasting in Large-Scale Antenna Systems. IEEE Trans. Wirel. Commun. Meysam Sadeghi, Luca Sanguinetti, Romain Couillet, Chau Yuen
2017	—	`conf`	The Gallager Bound in Fiber Optical MIMO. WSA Apostolos Karadimitrakis, Romain Couillet, Aris L. Moustakas, Luca Sanguinetti
2017	Misc	`conf`	The counterintuitive mechanism of graph-based semi-supervised learning in the big data regime. ICASSP Xiaoyi Mai, Romain Couillet
2016	A*	`conf`	A Random Matrix Approach to Echo-State Neural Networks. ICML Romain Couillet, Gilles Wainrib, Hafiz Tiomoko Ali, Harry Sevi
2016	J	`jnl`	Convergence and Fluctuations of Regularized Tyler Estimators. IEEE Trans. Signal Process. Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini
2016	J	`jnl`	Distributed Production-Sharing Optimization and Application to Power Grid Networks. IEEE Trans. Signal Inf. Process. over Networks Azary Abboud, Franck Iutzeler, Romain Couillet, Mérouane Debbah, Houria Siguerdidjane
2016	J	`jnl`	Estimation robuste et matrices aléatoires. Traitement du Signal Romain Couillet
2016	J	`jnl`	Introduction. Traitement du Signal Romain Couillet
2016	J	`jnl`	Large System Analysis of Base Station Cooperation for Power Minimization. IEEE Trans. Wirel. Commun. Luca Sanguinetti, Romain Couillet, Mérouane Debbah
2016	J	`jnl`	Large-System Estimation Performance in Noisy Compressed Sensing With Random Support of Known Cardinality - A Bayesian Analysis. IEEE Trans. Signal Process. Rémy Boyer, Romain Couillet, Bernard Henri Fleury, Pascal Larzabal
2016	—	`conf`	Optimal adaptive normalized matched filter for large antenna arrays. SSP Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini
2016	Misc	`conf`	Performance analysis of spectral community detection in realistic graph models. ICASSP Hafiz Tiomoko Ali, Romain Couillet
2016	J	`jnl`	Perspectives en matrices aléatoires et grands réseaux. Traitement du Signal Romain Couillet, Gilles Wainrib
2016	Misc	`conf`	Random matrix improved community detection in heterogeneous networks. ACSSC Hafiz Tiomoko Ali, Romain Couillet
2016	Misc	`conf`	Random matrix improved subspace clustering. ACSSC Romain Couillet, Abla Kammoun
2016	—	`conf`	Robust shrinkage M-estimators of large covariance matrices. SSP Nicolas Auguin, David Morales-Jiménez, Matthew R. McKay, Romain Couillet
2016	J	`jnl`	Second order statistics of robust estimators of scatter. Application to GLRT detection for elliptical signals. J. Multivar. Anal. Romain Couillet, Abla Kammoun, Frédéric Pascal
2016	J	`jnl`	The Asymptotic Performance of Linear Echo State Neural Networks. CoRR Romain Couillet, Gilles Wainrib, Harry Sevi, Hafiz Tiomoko Ali
2016	J	`jnl`	The Asymptotic Performance of Linear Echo State Neural Networks. J. Mach. Learn. Res. Romain Couillet, Gilles Wainrib, Harry Sevi, Hafiz Tiomoko Ali
2016	—	`conf`	Training performance of echo state neural networks. SSP Romain Couillet, Gilles Wainrib, Harry Sevi, Hafiz Tiomoko Ali
2015	J	`jnl`	A Robust Statistics Approach to Minimum Variance Portfolio Optimization. IEEE Trans. Signal Process. Liusha Yang, Romain Couillet, Matthew R. McKay
2015	B	`conf`	Base Station Cooperation for Power Minimization in the Downlink: Large System Analysis. GLOBECOM Luca Sanguinetti, Romain Couillet, Mérouane Debbah
2015	J	`jnl`	Convergence and Fluctuations of Regularized Tyler Estimators. CoRR Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini
2015	J	`jnl`	Estimation of Toeplitz Covariance Matrices in Large Dimensional Regime With Application to Source Detection. IEEE Trans. Signal Process. Julia Vinogradova, Romain Couillet, Walid Hachem
2015	J	`jnl`	Interference-Aware RZF Precoding for Multicell Downlink Systems. IEEE Trans. Signal Process. Axel Müller, Romain Couillet, Emil Björnson, Sebastian Wagner, Mérouane Debbah
2015	J	`jnl`	Large Dimensional Analysis of Robust M-Estimators of Covariance With Outliers. IEEE Trans. Signal Process. David Morales-Jiménez, Romain Couillet, Matthew R. McKay
2015	J	`jnl`	Large Dimensional Analysis of Robust M-Estimators of Covariance with Outliers. CoRR David Morales-Jiménez, Romain Couillet, Matthew R. McKay
2015	J	`jnl`	Large System Analysis of Base Station Cooperation for Power Minimization. CoRR Luca Sanguinetti, Romain Couillet, Mérouane Debbah
2015	Misc	`conf`	Large dimensional analysis of Maronna's M-estimator with outliers. ICASSP David Morales-Jiménez, Romain Couillet, Matthew R. McKay
2015	—	`conf`	Minimum variance portfolio optimization in the spiked covariance model. CAMSAP Liusha Yang, Romain Couillet, Matthew R. McKay
2015	J	`jnl`	On the Convergence of Maronna's M-Estimators of Scatter. IEEE Signal Process. Lett. Yacine Chitour, Romain Couillet, Frédéric Pascal
2015	B	`conf`	On the necessity of binning for the distributed hypothesis testing problem. ISIT Gil Katz, Pablo Piantanida, Romain Couillet, Mérouane Debbah
2015	J	`jnl`	Optimal Design of the Adaptive Normalized Matched Filter Detector. CoRR Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini
2015	—	`conf`	RMT for whitening space correlation and applications to radar detection. CAMSAP Romain Couillet, Maria Sabrina Greco, Jean Philippe Ovarlez, Frédéric Pascal
2015	J	`jnl`	Robust spiked random matrices and a robust G-MUSIC estimator. J. Multivar. Anal. Romain Couillet
2015	Misc	`conf`	Second order statistics of bilinear forms of robust scatter estimators. ICASSP Abla Kammoun, Romain Couillet, Frédéric Pascal
2015	J	`jnl`	The Second-Order Coding Rate of the MIMO Quasi-Static Rayleigh Fading Channel. IEEE Trans. Inf. Theory Jakob Hoydis, Romain Couillet, Pablo Piantanida
2015	J	`jnl`	The random matrix regime of Maronna's M-estimator with elliptically distributed samples. J. Multivar. Anal. Romain Couillet, Frédéric Pascal, Jack W. Silverstein
2015	—	`conf`	Understanding big data spectral clustering. CAMSAP Romain Couillet, Florent Benaych-Georges
2014	—	`conf`	Asymptotic analysis of beamspace-MUSIC in the context of large arrays. SAM Pascal Vallet, Xavier Mestre, Philippe Loubaton, Romain Couillet
2014	Misc	`conf`	Asynchronous alternating direction method of multipliers applied to the direct-current optimal power flow problem. ICASSP Azary Abboud, Romain Couillet, Mérouane Debbah, Houria Siguerdidjane
2014	J	`jnl`	Estimation of Toeplitz Covariance Matrices in Large Dimensional Regime with Application to Source Detection. CoRR Julia Vinogradova, Romain Couillet, Walid Hachem
2014	—	`conf`	Estimation of large toeplitz covariance matrices and application to source detection. EUSIPCO Julia Vinogradova, Romain Couillet, Walid Hachem
2014	J	`jnl`	Interference-Aware RZF Precoding for Multi-Cell Downlink Systems. CoRR Axel Müller, Romain Couillet, Emil Björnson, Sebastian Wagner, Mérouane Debbah
2014	—	`conf`	Joint estimation and detection against independence. Allerton Gil Katz, Pablo Piantanida, Romain Couillet, Mérouane Debbah
2014	J	`jnl`	Large dimensional analysis and optimization of robust shrinkage covariance matrix estimators. J. Multivar. Anal. Romain Couillet, Matthew R. McKay
2014	Misc	`conf`	Minimum variance portfolio optimization with robust shrinkage covariance estimation. ACSSC Liusha Yang, Romain Couillet, Matthew R. McKay
2014	J	`jnl`	Robust Estimates of Covariance Matrices in the Large Dimensional Regime. IEEE Trans. Inf. Theory Romain Couillet, Frédéric Pascal, Jack W. Silverstein
2014	—	`conf`	Robust G-MUSIC. EUSIPCO Romain Couillet, Abla Kammoun
2014	—	`conf`	Robust M-estimator of scatter for large elliptical samples. SSP Romain Couillet, Frédéric Pascal
2014	—	`conf`	Robust covariance estimation and linear shrinkage in the large dimensional regime. MLSP Romain Couillet, Matthew R. McKay
2013	Misc	`conf`	A joint robust estimation and random matrix framework with application to array processing. ICASSP Romain Couillet, Frédéric Pascal, Jack W. Silverstein
2013	Misc	`conf`	A new method for source detection, power estimation, and localization in large sensor networks under noise with unknown statistics. ICASSP Julia Vinogradova, Romain Couillet, Walid Hachem
2013	Misc	`conf`	Analysis and management of heterogeneous user mobility in large-scale downlink systems. ACSSC Axel Müller, Emil Björnson, Romain Couillet, Mérouane Debbah
2013	B	`conf`	Bounds on the second-order coding rate of the MIMO Rayleigh block-fading channel. ISIT Jakob Hoydis, Romain Couillet, Pablo Piantanida
2013	J	`jnl`	Fluctuations of Spiked Random Matrix Models and Failure Diagnosis in Sensor Networks. IEEE Trans. Inf. Theory Romain Couillet, Walid Hachem
2013	J	`jnl`	Fluctuations of an Improved Population Eigenvalue Estimator in Sample Covariance Matrix Models. IEEE Trans. Inf. Theory Jianfeng Yao, Romain Couillet, Jamal Najim, Mérouane Debbah
2013	J	`jnl`	Large System Analysis of Linear Precoding in MISO Broadcast Channels with Confidential Messages CoRR Giovanni Geraci, Romain Couillet, Jinhong Yuan, Mérouane Debbah, Iain B. Collings
2013	J	`jnl`	Large System Analysis of Linear Precoding in MISO Broadcast Channels with Confidential Messages. IEEE J. Sel. Areas Commun. Giovanni Geraci, Romain Couillet, Jinhong Yuan, Mérouane Debbah, Iain B. Collings
2013	J	`jnl`	Performance of Mutual Information Inference Methods Under Unknown Interference. IEEE Trans. Inf. Theory Abla Kammoun, Romain Couillet, Jamal Najim, Mérouane Debbah
2013	Misc	`conf`	Second-order analysis of the joint SINR distribution in Rayleigh multiple access and broadcast channels. ACSSC Adrien Pelletier, Romain Couillet, Jamal Najim
2013	J	`jnl`	Secrecy Sum-Rates with Regularized Channel Inversion Precoding under Imperfect CSI at the Transmitter CoRR Giovanni Geraci, Romain Couillet, Jinhong Yuan, Mérouane Debbah, Iain B. Collings
2013	Misc	`conf`	Secrecy sum-rates with regularized channel inversion precoding under imperfect CSI at the transmitter. ICASSP Giovanni Geraci, Romain Couillet, Jinhong Yuan, Mérouane Debbah, Iain B. Collings
2013	J	`jnl`	Signal Processing in Large Systems: A New Paradigm. IEEE Signal Process. Mag. Romain Couillet, Mérouane Debbah
2013	J	`jnl`	Statistical Inference in Large Antenna Arrays Under Unknown Noise Pattern. IEEE Trans. Signal Process. Julia Vinogradova, Romain Couillet, Walid Hachem
2013	J	`jnl`	Statistical Inference in Large Antenna Arrays under Unknown Noise Pattern CoRR Julia Vinogradova, Romain Couillet, Walid Hachem
2013	J	`jnl`	The Second-Order Coding Rate of the MIMO Rayleigh Block-Fading Channel CoRR Jakob Hoydis, Romain Couillet, Pablo Piantanida
2012	—	`conf`	A mean field game analysis of electric vehicles in the smart grid. INFOCOM Workshops Romain Couillet, Samir Medina Perlaza, Hamidou Tembine, Mérouane Debbah
2012	B	`conf`	A random matrix approach to the finite blocklength regime of MIMO fading channels. ISIT Jakob Hoydis, Romain Couillet, Pablo Piantanida, Mérouane Debbah
2012	—	`conf`	A subspace approach to fault diagnostics in large power systems. ISCCSP Romain Couillet, Enrico Zio
2012	B	`conf`	Analysis of multicell cooperation with random user locations via deterministic equivalents. WiOpt Jakob Hoydis, Axel Müller, Romain Couillet, Mérouane Debbah
2012	—	`conf`	Concurrent data transmissions in green wireless networks: When best send one's packets? ISWCS Matthieu De Mari, Romain Couillet, Emilio Calvanese Strinati, Mérouane Debbah
2012	J	`jnl`	Electrical Vehicles in the Smart Grid: A Mean Field Game Analysis. IEEE J. Sel. Areas Commun. Romain Couillet, Samir Medina Perlaza, Hamidou Tembine, Mérouane Debbah
2012	J	`jnl`	Large System Analysis of Linear Precoding in Correlated MISO Broadcast Channels Under Limited Feedback. IEEE Trans. Inf. Theory Sebastian Wagner, Romain Couillet, Mérouane Debbah, Dirk T. M. Slock
2012	Misc	`conf`	On the fluctuations of the SINR at the output of the Wiener filter for non centered channels: The non Gaussian case. ICASSP Abla Kammoun, Malika Kharouf, Romain Couillet, Jamal Najim, Mérouane Debbah
2012	B	`conf`	Optimal 3D cell planning: A random matrix approach. GLOBECOM Axel Müller, Jakob Hoydis, Romain Couillet, Mérouane Debbah
2012	J	`jnl`	Random Beamforming Over Quasi-Static and Fading Channels: A Deterministic Equivalent Approach. IEEE Trans. Inf. Theory Romain Couillet, Jakob Hoydis, Mérouane Debbah
2012	J	`jnl`	Robust M-Estimation for Array Processing: A Random Matrix Approach CoRR Romain Couillet, Frédéric Pascal, Jack W. Silverstein
2012	—	`conf`	Sum-rate optimization for the MIMO IC under imperfect CSI: A deterministic equivalent approach. SPAWC Mohsen Rezaee, Romain Couillet, Maxime Guillaud, Gerald Matz
2011	B	`conf`	A CLT for Capacity Inference Methods under Colored Interference. GLOBECOM Abla Kammoun, Romain Couillet, Jamal Najim, Mérouane Debbah
2011	J	`jnl`	A Deterministic Equivalent for the Analysis of Correlated MIMO Multiple Access Channels. IEEE Trans. Inf. Theory Romain Couillet, Mérouane Debbah, Jack W. Silverstein
2011	J	`jnl`	Asymptotic Analysis of Double-Scattering Channels CoRR Jakob Hoydis, Romain Couillet, Mérouane Debbah
2011	—	`conf`	Asymptotic analysis of double-scattering channels. ACSCC Jakob Hoydis, Romain Couillet, Mérouane Debbah
2011	Misc	`conf`	CLT for eigen-inference methods in cognitive radios. ICASSP Jianfeng Yao, Romain Couillet, Jamal Najim, Eric Moulines, Mérouane Debbah
2011	—	`conf`	Deterministic Equivalent for the SINR of Regularized Zero-Forcing Precoding in Correlated MISO Broadcast Channels with Imperfect CSIT. ICC Sebastian Wagner, Romain Couillet, Mérouane Debbah, Dirk T. M. Slock
2011	—	`conf`	Deterministic Equivalents for the Performance Analysis of Isometric Random Precoded Systems. ICC Jakob Hoydis, Romain Couillet, Mérouane Debbah
2011	—	`conf`	Distributed convex stochastic optimization under few constraints in large networks. CAMSAP Romain Couillet, Pascal Bianchi, Jérémie Jakubowicz
2011	J	`jnl`	Eigen-Inference for Energy Estimation of Multiple Sources. IEEE Trans. Inf. Theory Romain Couillet, Jack W. Silverstein, Zhidong Bai, Mérouane Debbah
2011	J	`jnl`	Electrical Vehicles in the Smart Grid: A Mean Field Game Analysis CoRR Romain Couillet, Samir Medina Perlaza, Hamidou Tembine, Mérouane Debbah
2011	J	`jnl`	Iterative Deterministic Equivalents for the Performance Analysis of Communication Systems CoRR Jakob Hoydis, Romain Couillet, Mérouane Debbah
2011	J	`jnl`	Local failure detection and diagnosis in large sensor networks CoRR Romain Couillet, Walid Hachem
2011	—	`conf`	Local failure localization in large sensor networks. ACSCC Romain Couillet, Walid Hachem
2011	J	`jnl`	Random Beamforming over Correlated Fading Channels CoRR Jakob Hoydis, Romain Couillet, Mérouane Debbah
2011	J	`jnl`	Signal Processing in Large Systems: a New Paradigm CoRR Romain Couillet, Mérouane Debbah
2010	J	`jnl`	A Bayesian framework for collaborative multi-source signal sensing. IEEE Trans. Signal Process. Romain Couillet, Mérouane Debbah
2010	J	`jnl`	A Deterministic Equivalent Approach to the Performance Analysis of Isometric Random Precoded Systems CoRR Romain Couillet, Jakob Hoydis, Mérouane Debbah
2010	—	`—`	Application of random matrix theory to future wireless flexible networks. (Application des matrices aléatoires aux futurs réseaux flexibles de communications sans fil). Romain Couillet
2010	J	`jnl`	Eigen-Inference for Multi-User Power Detection CoRR Romain Couillet, Jack W. Silverstein, Mérouane Debbah
2010	B	`conf`	Eigen-inference for multi-source power estimation. ISIT Romain Couillet, Jack W. Silverstein, Mérouane Debbah
2010	—	`conf`	Fluctuations of the mutual information in large distributed antenna systems with colored noise. Allerton Jakob Hoydis, Jamal Najim, Romain Couillet, Mérouane Debbah
2010	—	`conf`	Information Theoretic approach to Synchronization: The OFDM Carrier Frequency Offset Example. AICT Romain Couillet, Mérouane Debbah
2010	B	`conf`	Optimal Training in Large TDD Multi-User Downlink Systems under Zero-Forcing and Regularized Zero-Forcing Precoding. GLOBECOM Sebastian Wagner, Romain Couillet, Mérouane Debbah, Dirk T. M. Slock
2010	B	`conf`	Self-organized spectrum sharing in large MIMO multiple-access channels. ISIT Romain Couillet, H. Vincent Poor, Mérouane Debbah
2009	J	`jnl`	A deterministic equivalent for the capacity analysis of correlated multi-user MIMO channels CoRR Romain Couillet, Mérouane Debbah, Jack W. Silverstein
2009	J	`jnl`	Asymptotic Analysis of Linear Precoding Techniques in Correlated Multi-Antenna Broadcast Channels CoRR Romain Couillet, Sebastian Wagner, Mérouane Debbah
2009	B	`conf`	Asymptotic analysis of correlated multi-antenna broadcast channels. WCNC Romain Couillet, Sebastian Wagner, Mérouane Debbah
2009	B	`conf`	Bayesian inference for multiple antenna cognitive receivers. WCNC Romain Couillet, Mérouane Debbah
2009	B	`conf`	Flexible OFDM schemes for bursty transmissions. WCNC Romain Couillet, Mérouane Debbah
2009	J	`jnl`	Outage Performance of Flexible OFDM Schemes in Packet-Switched Transmissions. EURASIP J. Adv. Signal Process. Romain Couillet, Mérouane Debbah
2008	J	`jnl`	A maximum entropy approach to OFDM channel estimation CoRR Romain Couillet, Mérouane Debbah
2008	J	`jnl`	Cognitive OFDM network sensing: a free probability approach CoRR Romain Couillet, Mérouane Debbah
2008	B	`conf`	Free deconvolution for OFDM multicell SNR detection. PIMRC Romain Couillet, Mérouane Debbah
2008	J	`jnl`	Multiple Antenna Cognitive Receivers and Signal Detection CoRR Romain Couillet, Mérouane Debbah
2008	—	`conf`	The space frontier: physical limits of multiple antenna information transfer. VALUETOOLS Romain Couillet, Sebastian Wagner, Mérouane Debbah, Alonso Silva