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2020 – today
- 2024
[j47]Hugo Lebeau
, Florent Chatelain, Romain Couillet:
Asymptotic Gaussian Fluctuations of Eigenvectors in Spectral Clustering. IEEE Signal Process. Lett. 31: 1920-1924 (2024)- [c100]Victor Leger, Romain Couillet:
Asymptotic Bayes Risk of Semi-Supervised Learning with Uncertain Labeling. EUSIPCO 2024: 1831-1835 - [i58]Hugo Lebeau, Florent Chatelain, Romain Couillet:
A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation. CoRR abs/2402.03169 (2024) - [i57]Hugo Lebeau, Florent Chatelain, Romain Couillet:
Asymptotic Gaussian Fluctuations of Eigenvectors in Spectral Clustering. CoRR abs/2402.12302 (2024) - [i56]Victor Leger, Romain Couillet:
A Large Dimensional Analysis of Multi-task Semi-Supervised Learning. CoRR abs/2402.13646 (2024) - [i55]Victor Leger, Romain Couillet:
Asymptotic Bayes risk of semi-supervised learning with uncertain labeling. CoRR abs/2403.17767 (2024) - 2023
- [c99]Minh-Toan Nguyen, Romain Couillet:
Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture. AISTATS 2023: 5063-5078 - [c98]Cyprien Doz, Chengfang Ren, Jean Philippe Ovarlez, Romain Couillet:
Large Dimensional Analysis of LS-SVM Transfer Learning: Application to Polsar Classification. ICASSP 2023: 1-5 - [c97]Malik Tiomoko, Romain Couillet, Frédéric Pascal:
PCA-based Multi-Task Learning: a Random Matrix Approach. ICML 2023: 34280-34300 - [i54]Minh-Toan Nguyen, Romain Couillet:
Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture. CoRR abs/2303.02048 (2023) - 2022
- [j46]José Henrique de Morais Goulart, Romain Couillet, Pierre Comon:
A Random Matrix Perspective on Random Tensors. J. Mach. Learn. Res. 23: 264:1-264:36 (2022) - [j45]Romain Couillet, Denis Trystram, Thierry Ménissier:
The Submerged Part of the AI-Ceberg [Perspectives]. IEEE Signal Process. Mag. 39(5): 10-17 (2022) - [c96]Hafiz Tiomoko Ali, Zhenyu Liao, Romain Couillet:
Random matrices in service of ML footprint: ternary random features with no performance loss. ICLR 2022 - [c95]Hugo Lebeau, Romain Couillet, Florent Chatelain:
A Random Matrix Analysis of Data Stream Clustering: Coping With Limited Memory Resources. ICML 2022: 12253-12281 - 2021
- [j44]Xiaoyi Mai, Romain Couillet:
Consistent Semi-Supervised Graph Regularization for High Dimensional Data. J. Mach. Learn. Res. 22: 94:1-94:48 (2021) - [j43]Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay:
A Unified Framework for Spectral Clustering in Sparse Graphs. J. Mach. Learn. Res. 22: 217:1-217:56 (2021) - [c94]Mohamed El Amine Seddik, Cosme Louart, Romain Couillet, Mohamed Tamaazousti:
The Unexpected Deterministic and Universal Behavior of Large Softmax Classifiers. AISTATS 2021: 1045-1053 - [c93]Charles Séjourné, Romain Couillet, Pierre Comon:
A Large-Dimensional Analysis of Symmetric SNE. ICASSP 2021: 2970-2974 - [c92]Zhenyu Liao, Romain Couillet, Michael W. Mahoney:
Sparse Quantized Spectral Clustering. ICLR 2021 - [c91]Malik Tiomoko, Hafiz Tiomoko Ali, Romain Couillet:
Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach. ICLR 2021 - [c90]Romain Couillet, Florent Chatelain, Nicolas Le Bihan:
Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering. ICML 2021: 2156-2165 - [i53]Romain Couillet, Florent Chatelain, Nicolas Le Bihan:
Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering. CoRR abs/2102.12293 (2021) - [i52]Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay:
Nishimori meets Bethe: a spectral method for node classification in sparse weighted graphs. CoRR abs/2103.03561 (2021) - [i51]José Henrique de Morais Goulart, Romain Couillet, Pierre Comon:
A Random Matrix Perspective on Random Tensors. CoRR abs/2108.00774 (2021) - [i50]Hafiz Tiomoko Ali, Zhenyu Liao, Romain Couillet:
Random matrices in service of ML footprint: ternary random features with no performance loss. CoRR abs/2110.01899 (2021) - [i49]Sami Fakhry, Romain Couillet, Malik Tiomoko:
Multi-task learning on the edge: cost-efficiency and theoretical optimality. CoRR abs/2110.04639 (2021) - [i48]Malik Tiomoko, Romain Couillet, Frédéric Pascal:
PCA-based Multi Task Learning: a Random Matrix Approach. CoRR abs/2111.00924 (2021) - 2020
- [j42]Khalil Elkhalil, Abla Kammoun, Romain Couillet, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini:
A Large Dimensional Study of Regularized Discriminant Analysis. IEEE Trans. Signal Process. 68: 2464-2479 (2020) - [c89]Romain Couillet, Yagmur Gizem Cinar, Éric Gaussier, Muhammad Imran:
Word Representations Concentrate and This is Good News! CoNLL 2020: 325-334 - [c88]Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay:
Optimal Laplacian Regularization for Sparse Spectral Community Detection. ICASSP 2020: 3237-3241 - [c87]Malik Tiomoko, Cosme Louart, Romain Couillet:
Large Dimensional Asymptotics of Multi-Task Learning. ICASSP 2020: 8787-8791 - [c86]Mohamed El Amine Seddik, Cosme Louart, Mohamed Tamaazousti, Romain Couillet:
Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures. ICML 2020: 8573-8582 - [c85]Tayeb Zarrouk, Romain Couillet, Florent Chatelain, Nicolas Le Bihan:
Performance-Complexity Trade-Off in Large Dimensional Statistics. MLSP 2020: 1-6 - [c84]Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay:
Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian. NeurIPS 2020 - [c83]Zhenyu Liao, Romain Couillet, Michael W. Mahoney:
A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent. NeurIPS 2020 - [i47]Mohamed El Amine Seddik, Cosme Louart, Mohamed Tamaazousti, Romain Couillet:
Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures. CoRR abs/2001.08370 (2020) - [i46]Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay:
A unified framework for spectral clustering in sparse graphs. CoRR abs/2003.09198 (2020) - [i45]Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay:
Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian. CoRR abs/2006.04510 (2020) - [i44]Zhenyu Liao, Romain Couillet, Michael W. Mahoney:
A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent. CoRR abs/2006.05013 (2020) - [i43]Xiaoyi Mai, Romain Couillet:
Consistent Semi-Supervised Graph Regularization for High Dimensional Data. CoRR abs/2006.07575 (2020) - [i42]Malik Tiomoko Ali, Romain Couillet, Hafiz Tiomoko:
Large Dimensional Analysis and Improvement of Multi Task Learning. CoRR abs/2009.01591 (2020) - [i41]Zhenyu Liao, Romain Couillet, Michael W. Mahoney:
Sparse Quantized Spectral Clustering. CoRR abs/2010.01376 (2020)
2010 – 2019
- 2019
- [j41]Romain Couillet, Malik Tiomoko, Steeve Zozor, Eric Moisan:
Random matrix-improved estimation of covariance matrix distances. J. Multivar. Anal. 174 (2019) - [j40]Zhenyu Liao, Romain Couillet:
A Large Dimensional Analysis of Least Squares Support Vector Machines. IEEE Trans. Signal Process. 67(4): 1065-1074 (2019) - [c82]Malik Tiomoko, Romain Couillet:
Estimation of Covariance Matrix Distances in the High Dimension Low Sample Size Regime. CAMSAP 2019: 341-345 - [c81]Romain Couillet:
A Random Matrix Analysis and Optimization Framework to Large Dimensional Transfer Learning. CAMSAP 2019: 401-404 - [c80]Romain Couillet:
High Dimensional Robust Classification: A Random Matrix Analysis. CAMSAP 2019: 420-424 - [c79]Zhenyu Liao, Romain Couillet:
On Inner-Product Kernels of High Dimensional Data. CAMSAP 2019: 579-583 - [c78]Cosme Louart, Romain Couillet:
A Concentration of Measure Perspective to Robust Statistics. CAMSAP 2019: 679-683 - [c77]Arun Kadavankandy, Romain Couillet:
Asymptotic Gaussian Fluctuations of Spectral Clustering Eigenvectors. CAMSAP 2019: 694-698 - [c76]Malik Tiomoko, Romain Couillet:
Random Matrix-Improved Estimation of the Wasserstein Distance between two Centered Gaussian Distributions. EUSIPCO 2019: 1-5 - [c75]Lorenzo Dall'Amico, Romain Couillet:
Community Detection in Sparse Realistic Graphs: Improving the Bethe Hessian. ICASSP 2019: 2942-2946 - [c74]Xiaoyi Mai, Zhenyu Liao, Romain Couillet:
A Large Scale Analysis of Logistic Regression: Asymptotic Performance and New Insights. ICASSP 2019: 3357-3361 - [c73]Xiaoyi Mai, Romain Couillet:
Revisiting and Improving Semi-supervised Learning: A Large Dimensional Approach. ICASSP 2019: 3547-3551 - [c72]Malik Tiomoko, Romain Couillet, Eric Moisan, Steeve Zozor:
Improved Estimation of the Distance between Covariance Matrices. ICASSP 2019: 7445-7449 - [c71]Mohamed El Amine Seddik, Mohamed Tamaazousti, Romain Couillet:
Kernel Random Matrices of Large Concentrated Data: the Example of GAN-Generated Images. ICASSP 2019: 7480-7484 - [c70]Hafiz Tiomoko Ali, Sijia Liu, Yasin Yilmaz, Romain Couillet, Indika Rajapakse, Alfred O. Hero III:
Latent Heterogeneous Multilayer Community Detection. ICASSP 2019: 8142-8146 - [c69]Mohamed El Amine Seddik, Mohamed Tamaazousti, Romain Couillet:
A Kernel Random Matrix-Based Approach for Sparse PCA. ICLR (Poster) 2019 - [c68]Malik Tiomoko, Romain Couillet, Florent Bouchard, Guillaume Ginolhac:
Random Matrix Improved Covariance Estimation for a Large Class of Metrics. ICML 2019: 6254-6263 - [c67]Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay:
Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs. NeurIPS 2019: 4039-4049 - [i40]Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay:
Optimized Deformed Laplacian for Spectrum-based Community Detection in Sparse Heterogeneous Graphs. CoRR abs/1901.09715 (2019) - [i39]Malik Tiomoko, Florent Bouchard, Guillaume Ginolhac, Romain Couillet:
Random Matrix Improved Covariance Estimation for a Large Class of Metrics. CoRR abs/1902.02554 (2019) - [i38]Malik Tiomoko, Romain Couillet:
Random Matrix-Improved Estimation of the Wasserstein Distance between two Centered Gaussian Distributions. CoRR abs/1903.03447 (2019) - [i37]Zhenyu Liao, Romain Couillet:
Inner-product Kernels are Asymptotically Equivalent to Binary Discrete Kernels. CoRR abs/1909.06788 (2019) - [i36]Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay:
Optimal Laplacian regularization for sparse spectral community detection. CoRR abs/1912.01419 (2019) - 2018
- [j39]Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini:
Optimal Design of the Adaptive Normalized Matched Filter Detector Using Regularized Tyler Estimators. IEEE Trans. Aerosp. Electron. Syst. 54(2): 755-769 (2018) - [j38]Liusha Yang, Matthew R. McKay, Romain Couillet:
High-Dimensional MVDR Beamforming: Optimized Solutions Based on Spiked Random Matrix Models. IEEE Trans. Signal Process. 66(7): 1933-1947 (2018) - [j37]Nicolas Auguin, David Morales-Jiménez, Matthew R. McKay, Romain Couillet:
Large-Dimensional Behavior of Regularized Maronna's M-Estimators of Covariance Matrices. IEEE Trans. Signal Process. 66(13): 3529-3542 (2018) - [j36]Apostolos Karadimitrakis, Aris L. Moustakas, Romain Couillet:
Gallager Bound for MIMO Channels: Large- $N$ Asymptotics. IEEE Trans. Wirel. Commun. 17(2): 1323-1330 (2018) - [c66]Xiaoyi Mai, Romain Couillet:
Semi-Supervised Spectral Clustering. ACSSC 2018: 2012-2016 - [c65]Romain Couillet, Zhenyu Liao, Xiaoyi Mai:
Classification Asymptotics in the Random Matrix Regime. EUSIPCO 2018: 1875-1879 - [c64]Hafiz Tiomoko Ali, Abla Kammoun, Romain Couillet:
Random Matrix Asymptotics of Inner Product Kernel Spectral Clustering. ICASSP 2018: 2441-2445 - [c63]Cosme Louart, Romain Couillet:
A Random Matrix and Concentration Inequalities Framework for Neural Networks Analysis. ICASSP 2018: 4214-4218 - [c62]Zhenyu Liao, Romain Couillet:
On the Spectrum of Random Features Maps of High Dimensional Data. ICML 2018: 3069-3077 - [c61]Zhenyu Liao, Romain Couillet:
The Dynamics of Learning: A Random Matrix Approach. ICML 2018: 3078-3087 - [c60]Hafiz Tiomoko Ali, Abla Kammoun, Romain Couillet:
Random Matrix-Improved Kernels For Large Dimensional Spectral Clustering. SSP 2018: 453-457 - [c59]Liusha Yang, Matthew R. McKay, Romain Couillet:
Random Matrix-Optimized High-Dimensional MVDR Beamforming. SSP 2018: 473-477 - [i35]Zhenyu Liao, Romain Couillet:
On the Spectrum of Random Features Maps of High Dimensional Data. CoRR abs/1805.11916 (2018) - [i34]Zhenyu Liao, Romain Couillet:
The Dynamics of Learning: A Random Matrix Approach. CoRR abs/1805.11917 (2018) - [i33]Hafiz Tiomoko Ali, Sijia Liu, Yasin Yilmaz, Alfred O. Hero III, Romain Couillet, Indika Rajapakse:
Latent heterogeneous multilayer community detection. CoRR abs/1806.07963 (2018) - [i32]Romain Couillet, Malik Tiomoko, Steeve Zozor, Eric Moisan:
Random matrix-improved estimation of covariance matrix distances. CoRR abs/1810.04534 (2018) - [i31]Yacine Chitour, Zhenyu Liao, Romain Couillet:
A Geometric Approach of Gradient Descent Algorithms in Neural Networks. CoRR abs/1811.03568 (2018) - 2017
- [j35]Hafiz Tiomoko Ali, Romain Couillet:
Improved spectral community detection in large heterogeneous networks. J. Mach. Learn. Res. 18: 225:1-225:49 (2017) - [j34]Meysam Sadeghi, Luca Sanguinetti, Romain Couillet, Chau Yuen:
Large System Analysis of Power Normalization Techniques in Massive MIMO. IEEE Trans. Veh. Technol. 66(10): 9005-9017 (2017) - [j33]Meysam Sadeghi, Luca Sanguinetti, Romain Couillet, Chau Yuen:
Reducing the Computational Complexity of Multicasting in Large-Scale Antenna Systems. IEEE Trans. Wirel. Commun. 16(5): 2963-2975 (2017) - [c58]Cosme Louart, Romain Couillet:
Harnessing neural networks: A random matrix approach. ICASSP 2017: 2282-2286 - [c57]Zhenyu Liao, Romain Couillet:
Random matrices meet machine learning: A large dimensional analysis of LS-SVM. ICASSP 2017: 2397-2401 - [c56]Xiaoyi Mai, Romain Couillet:
The counterintuitive mechanism of graph-based semi-supervised learning in the big data regime. ICASSP 2017: 2821-2825 - [c55]Khalil Elkhalil, Abla Kammoun, Romain Couillet, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini:
Asymptotic performance of regularized quadratic discriminant analysis based classifiers. MLSP 2017: 1-6 - [c54]Apostolos Karadimitrakis, Romain Couillet, Aris L. Moustakas, Luca Sanguinetti:
The Gallager Bound in Fiber Optical MIMO. WSA 2017: 1-8 - [i30]Cosme Louart, Zhenyu Liao, Romain Couillet:
A Random Matrix Approach to Neural Networks. CoRR abs/1702.05419 (2017) - [i29]Meysam Sadeghi, Luca Sanguinetti, Romain Couillet, Chau Yuen:
Reducing the Computational Complexity of Multicasting in Large-Scale Antenna Systems. CoRR abs/1702.05901 (2017) - [i28]Meysam Sadeghi, Luca Sanguinetti, Romain Couillet, Chau Yuen:
Large System Analysis of Power Normalization Techniques in Massive MIMO. CoRR abs/1705.07183 (2017) - [i27]Xiaoyi Mai, Romain Couillet:
A random matrix analysis and improvement of semi-supervised learning for large dimensional data. CoRR abs/1711.03404 (2017) - [i26]Apostolos Karadimitrakis, Aris L. Moustakas, Romain Couillet:
Gallager Bound for MIMO Channels: Large-N Asymptotics. CoRR abs/1711.08632 (2017) - 2016
- [j32]Romain Couillet, Gilles Wainrib, Harry Sevi, Hafiz Tiomoko Ali:
The Asymptotic Performance of Linear Echo State Neural Networks. J. Mach. Learn. Res. 17: 178:1-178:35 (2016) - [j31]Romain Couillet, Abla Kammoun, Frédéric Pascal:
Second order statistics of robust estimators of scatter. Application to GLRT detection for elliptical signals. J. Multivar. Anal. 143: 249-274 (2016) - [j30]Romain Couillet:
Introduction. Traitement du Signal 33(2-3): 159-160 (2016) - [j29]Romain Couillet:
Estimation robuste et matrices aléatoires. Traitement du Signal 33(2-3): 273-320 (2016) - [j28]Romain Couillet, Gilles Wainrib:
Perspectives en matrices aléatoires et grands réseaux. Traitement du Signal 33(2-3): 351-376 (2016) - [j27]Azary Abboud, Franck Iutzeler, Romain Couillet, Mérouane Debbah, Houria Siguerdidjane:
Distributed Production-Sharing Optimization and Application to Power Grid Networks. IEEE Trans. Signal Inf. Process. over Networks 2(1): 16-28 (2016) - [j26]Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini:
Convergence and Fluctuations of Regularized Tyler Estimators. IEEE Trans. Signal Process. 64(4): 1048-1060 (2016) - [j25]Rémy Boyer, Romain Couillet, Bernard Henri Fleury, Pascal Larzabal:
Large-System Estimation Performance in Noisy Compressed Sensing With Random Support of Known Cardinality - A Bayesian Analysis. IEEE Trans. Signal Process. 64(21): 5525-5535 (2016) - [j24]Luca Sanguinetti, Romain Couillet, Mérouane Debbah:
Large System Analysis of Base Station Cooperation for Power Minimization. IEEE Trans. Wirel. Commun. 15(8): 5480-5496 (2016) - [c53]Romain Couillet, Abla Kammoun:
Random matrix improved subspace clustering. ACSSC 2016: 90-94 - [c52]Hafiz Tiomoko Ali, Romain Couillet:
Random matrix improved community detection in heterogeneous networks. ACSSC 2016: 1385-1389 - [c51]Hafiz Tiomoko Ali, Romain Couillet:
Performance analysis of spectral community detection in realistic graph models. ICASSP 2016: 4548-4552 - [c50]Romain Couillet, Gilles Wainrib, Hafiz Tiomoko Ali, Harry Sevi:
A Random Matrix Approach to Echo-State Neural Networks. ICML 2016: 517-525 - [c49]Nicolas Auguin, David Morales-Jiménez, Matthew R. McKay, Romain Couillet:
Robust shrinkage M-estimators of large covariance matrices. SSP 2016: 1-4 - [c48]Romain Couillet, Gilles Wainrib, Harry Sevi, Hafiz Tiomoko Ali:
Training performance of echo state neural networks. SSP 2016: 1-4 - [c47]Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini:
Optimal adaptive normalized matched filter for large antenna arrays. SSP 2016: 1-5 - [i25]Romain Couillet, Gilles Wainrib, Harry Sevi, Hafiz Tiomoko Ali:
The Asymptotic Performance of Linear Echo State Neural Networks. CoRR abs/1603.07866 (2016) - 2015
- [j23]Romain Couillet, Frédéric Pascal, Jack W. Silverstein:
The random matrix regime of Maronna's M-estimator with elliptically distributed samples. J. Multivar. Anal. 139: 56-78 (2015) - [j22]Romain Couillet:
Robust spiked random matrices and a robust G-MUSIC estimator. J. Multivar. Anal. 140: 139-161 (2015) - [j21]Yacine Chitour, Romain Couillet, Frédéric Pascal:
On the Convergence of Maronna's M-Estimators of Scatter. IEEE Signal Process. Lett. 22(6): 709-712 (2015) - [j20]Jakob Hoydis, Romain Couillet, Pablo Piantanida:
The Second-Order Coding Rate of the MIMO Quasi-Static Rayleigh Fading Channel. IEEE Trans. Inf. Theory 61(12): 6591-6622 (2015) - [j19]Axel Müller, Romain Couillet, Emil Björnson, Sebastian Wagner, Mérouane Debbah:
Interference-Aware RZF Precoding for Multicell Downlink Systems. IEEE Trans. Signal Process. 63(15): 3959-3973 (2015) - [j18]Julia Vinogradova, Romain Couillet, Walid Hachem:
Estimation of Toeplitz Covariance Matrices in Large Dimensional Regime With Application to Source Detection. IEEE Trans. Signal Process. 63(18): 4903-4913 (2015) - [j17]David Morales-Jiménez, Romain Couillet, Matthew R. McKay:
Large Dimensional Analysis of Robust M-Estimators of Covariance With Outliers. IEEE Trans. Signal Process. 63(21): 5784-5797 (2015) - [j16]Liusha Yang, Romain Couillet, Matthew R. McKay:
A Robust Statistics Approach to Minimum Variance Portfolio Optimization. IEEE Trans. Signal Process. 63(24): 6684-6697 (2015) - [c46]Liusha Yang, Romain Couillet, Matthew R. McKay:
Minimum variance portfolio optimization in the spiked covariance model. CAMSAP 2015: 13-16 - [c45]Romain Couillet, Florent Benaych-Georges:
Understanding big data spectral clustering. CAMSAP 2015: 29-32 - [c44]Romain Couillet, Maria Sabrina Greco, Jean Philippe Ovarlez, Frédéric Pascal:
RMT for whitening space correlation and applications to radar detection. CAMSAP 2015: 149-152 - [c43]Luca Sanguinetti, Romain Couillet, Mérouane Debbah:
Base Station Cooperation for Power Minimization in the Downlink: Large System Analysis. GLOBECOM 2015: 1-6 - [c42]Abla Kammoun, Romain Couillet, Frédéric Pascal:
Second order statistics of bilinear forms of robust scatter estimators. ICASSP 2015: 3412-3416 - [c41]David Morales-Jiménez, Romain Couillet, Matthew R. McKay:
Large dimensional analysis of Maronna's M-estimator with outliers. ICASSP 2015: 3417-3421 - [c40]Gil Katz, Pablo Piantanida, Romain Couillet, Mérouane Debbah:
On the necessity of binning for the distributed hypothesis testing problem. ISIT 2015: 2797-2801 - [i24]Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini:
Optimal Design of the Adaptive Normalized Matched Filter Detector. CoRR abs/1501.06027 (2015) - [i23]David Morales-Jiménez, Romain Couillet, Matthew R. McKay:
Large Dimensional Analysis of Robust M-Estimators of Covariance with Outliers. CoRR abs/1503.01245 (2015) - [i22]Abla Kammoun, Romain Couillet, Frédéric Pascal, Mohamed-Slim Alouini:
Convergence and Fluctuations of Regularized Tyler Estimators. CoRR abs/1504.01252 (2015) - [i21]Luca Sanguinetti, Romain Couillet, Mérouane Debbah:
Large System Analysis of Base Station Cooperation for Power Minimization. CoRR abs/1509.00731 (2015) - 2014
- [j15]Romain Couillet, Matthew R. McKay:
Large dimensional analysis and optimization of robust shrinkage covariance matrix estimators. J. Multivar. Anal. 131: 99-120 (2014) - [j14]Romain Couillet, Frédéric Pascal, Jack W. Silverstein:
Robust Estimates of Covariance Matrices in the Large Dimensional Regime. IEEE Trans. Inf. Theory 60(11): 7269-7278 (2014) - [c39]Liusha Yang, Romain Couillet, Matthew R. McKay:
Minimum variance portfolio optimization with robust shrinkage covariance estimation. ACSSC 2014: 1326-1330 - [c38]Gil Katz, Pablo Piantanida, Romain Couillet, Mérouane Debbah:
Joint estimation and detection against independence. Allerton 2014: 1220-1227 - [c37]Julia Vinogradova, Romain Couillet, Walid Hachem:
Estimation of large toeplitz covariance matrices and application to source detection. EUSIPCO 2014: 2120-2124 - [c36]Romain Couillet, Abla Kammoun:
Robust G-MUSIC. EUSIPCO 2014: 2155-2159 - [c35]Azary Abboud, Romain Couillet, Mérouane Debbah, Houria Siguerdidjane:
Asynchronous alternating direction method of multipliers applied to the direct-current optimal power flow problem. ICASSP 2014: 7764-7768 - [c34]Pascal Vallet, Xavier Mestre, Philippe Loubaton, Romain Couillet:
Asymptotic analysis of beamspace-MUSIC in the context of large arrays. SAM 2014: 469-472 - [c33]Romain Couillet, Matthew R. McKay:
Robust covariance estimation and linear shrinkage in the large dimensional regime. MLSP 2014: 1-6 - [c32]Romain Couillet, Frédéric Pascal:
Robust M-estimator of scatter for large elliptical samples. SSP 2014: 1-4 - [i20]Julia Vinogradova, Romain Couillet, Walid Hachem:
Estimation of Toeplitz Covariance Matrices in Large Dimensional Regime with Application to Source Detection. CoRR abs/1403.1243 (2014) - [i19]Axel Müller, Romain Couillet, Emil Björnson, Sebastian Wagner, Mérouane Debbah:
Interference-Aware RZF Precoding for Multi-Cell Downlink Systems. CoRR abs/1408.2232 (2014) - 2013
- [j13]Giovanni Geraci, Romain Couillet, Jinhong Yuan, Mérouane Debbah, Iain B. Collings:
Large System Analysis of Linear Precoding in MISO Broadcast Channels with Confidential Messages. IEEE J. Sel. Areas Commun. 31(9): 1660-1671 (2013) - [j12]Romain Couillet, Mérouane Debbah:
Signal Processing in Large Systems: A New Paradigm. IEEE Signal Process. Mag. 30(1): 24-39 (2013) - [j11]Romain Couillet, Walid Hachem:
Fluctuations of Spiked Random Matrix Models and Failure Diagnosis in Sensor Networks. IEEE Trans. Inf. Theory 59(1): 509-525 (2013) - [j10]Abla Kammoun, Romain Couillet, Jamal Najim, Mérouane Debbah:
Performance of Mutual Information Inference Methods Under Unknown Interference. IEEE Trans. Inf. Theory 59(2): 1129-1148 (2013) - [j9]Jianfeng Yao, Romain Couillet, Jamal Najim, Mérouane Debbah:
Fluctuations of an Improved Population Eigenvalue Estimator in Sample Covariance Matrix Models. IEEE Trans. Inf. Theory 59(2): 1149-1163 (2013) - [j8]Julia Vinogradova, Romain Couillet, Walid Hachem:
Statistical Inference in Large Antenna Arrays Under Unknown Noise Pattern. IEEE Trans. Signal Process. 61(22): 5633-5645 (2013) - [c31]Axel Müller, Emil Björnson, Romain Couillet, Mérouane Debbah:
Analysis and management of heterogeneous user mobility in large-scale downlink systems. ACSSC 2013: 773-777 - [c30]Adrien Pelletier, Romain Couillet, Jamal Najim:
Second-order analysis of the joint SINR distribution in Rayleigh multiple access and broadcast channels. ACSSC 2013: 1223-1227 - [c29]Giovanni Geraci, Romain Couillet, Jinhong Yuan, Mérouane Debbah, Iain B. Collings:
Secrecy sum-rates with regularized channel inversion precoding under imperfect CSI at the transmitter. ICASSP 2013: 2896-2900 - [c28]Julia Vinogradova, Romain Couillet, Walid Hachem:
A new method for source detection, power estimation, and localization in large sensor networks under noise with unknown statistics. ICASSP 2013: 3943-3946 - [c27]Romain Couillet, Frédéric Pascal, Jack W. Silverstein:
A joint robust estimation and random matrix framework with application to array processing. ICASSP 2013: 6561-6565 - [c26]Jakob Hoydis, Romain Couillet, Pablo Piantanida:
Bounds on the second-order coding rate of the MIMO Rayleigh block-fading channel. ISIT 2013: 1526-1530 - [i18]Julia Vinogradova, Romain Couillet, Walid Hachem:
Statistical Inference in Large Antenna Arrays under Unknown Noise Pattern. CoRR abs/1301.0306 (2013) - [i17]Jakob Hoydis, Romain Couillet, Pablo Piantanida:
The Second-Order Coding Rate of the MIMO Rayleigh Block-Fading Channel. CoRR abs/1303.3400 (2013) - [i16]Giovanni Geraci, Romain Couillet, Jinhong Yuan, Mérouane Debbah, Iain B. Collings:
Large System Analysis of Linear Precoding in MISO Broadcast Channels with Confidential Messages. CoRR abs/1304.5850 (2013) - [i15]Giovanni Geraci, Romain Couillet, Jinhong Yuan, Mérouane Debbah, Iain B. Collings:
Secrecy Sum-Rates with Regularized Channel Inversion Precoding under Imperfect CSI at the Transmitter. CoRR abs/1304.6159 (2013) - 2012
- [j7]Romain Couillet, Samir Medina Perlaza, Hamidou Tembine, Mérouane Debbah:
Electrical Vehicles in the Smart Grid: A Mean Field Game Analysis. IEEE J. Sel. Areas Commun. 30(6): 1086-1096 (2012) - [j6]Sebastian Wagner, Romain Couillet, Mérouane Debbah, Dirk T. M. Slock:
Large System Analysis of Linear Precoding in Correlated MISO Broadcast Channels Under Limited Feedback. IEEE Trans. Inf. Theory 58(7): 4509-4537 (2012) - [j5]Romain Couillet, Jakob Hoydis, Mérouane Debbah:
Random Beamforming Over Quasi-Static and Fading Channels: A Deterministic Equivalent Approach. IEEE Trans. Inf. Theory 58(10): 6392-6425 (2012) - [c25]Axel Müller, Jakob Hoydis, Romain Couillet, Mérouane Debbah:
Optimal 3D cell planning: A random matrix approach. GLOBECOM 2012: 4512-4517 - [c24]Abla Kammoun, Malika Kharouf, Romain Couillet, Jamal Najim, Mérouane Debbah:
On the fluctuations of the SINR at the output of the Wiener filter for non centered channels: The non Gaussian case. ICASSP 2012: 3173-3176 - [c23]Romain Couillet, Samir Medina Perlaza, Hamidou Tembine, Mérouane Debbah:
A mean field game analysis of electric vehicles in the smart grid. INFOCOM Workshops 2012: 79-84 - [c22]Romain Couillet, Enrico Zio:
A subspace approach to fault diagnostics in large power systems. ISCCSP 2012: 1-4 - [c21]Jakob Hoydis, Romain Couillet, Pablo Piantanida, Mérouane Debbah:
A random matrix approach to the finite blocklength regime of MIMO fading channels. ISIT 2012: 2181-2185 - [c20]Matthieu De Mari, Romain Couillet, Emilio Calvanese Strinati, Mérouane Debbah:
Concurrent data transmissions in green wireless networks: When best send one's packets? ISWCS 2012: 596-600 - [c19]Mohsen Rezaee, Romain Couillet, Maxime Guillaud, Gerald Matz:
Sum-rate optimization for the MIMO IC under imperfect CSI: A deterministic equivalent approach. SPAWC 2012: 259-263 - [c18]Jakob Hoydis, Axel Müller, Romain Couillet, Mérouane Debbah:
Analysis of multicell cooperation with random user locations via deterministic equivalents. WiOpt 2012: 374-379 - [i14]Romain Couillet, Frédéric Pascal, Jack W. Silverstein:
Robust M-Estimation for Array Processing: A Random Matrix Approach. CoRR abs/1204.5320 (2012) - 2011
- [j4]Romain Couillet, Jack W. Silverstein, Zhidong Bai, Mérouane Debbah:
Eigen-Inference for Energy Estimation of Multiple Sources. IEEE Trans. Inf. Theory 57(4): 2420-2439 (2011) - [j3]Romain Couillet, Mérouane Debbah, Jack W. Silverstein:
A Deterministic Equivalent for the Analysis of Correlated MIMO Multiple Access Channels. IEEE Trans. Inf. Theory 57(6): 3493-3514 (2011) - [c17]Jakob Hoydis, Romain Couillet, Mérouane Debbah:
Asymptotic analysis of double-scattering channels. ACSCC 2011: 1935-1939 - [c16]Romain Couillet, Walid Hachem:
Local failure localization in large sensor networks. ACSCC 2011: 1970-1974 - [c15]Romain Couillet, Pascal Bianchi, Jérémie Jakubowicz:
Distributed convex stochastic optimization under few constraints in large networks. CAMSAP 2011: 289-292 - [c14]Abla Kammoun, Romain Couillet, Jamal Najim, Mérouane Debbah:
A CLT for Capacity Inference Methods under Colored Interference. GLOBECOM 2011: 1-5 - [c13]Jianfeng Yao, Romain Couillet, Jamal Najim, Eric Moulines, Mérouane Debbah:
CLT for eigen-inference methods in cognitive radios. ICASSP 2011: 2980-2983 - [c12]Jakob Hoydis, Romain Couillet, Mérouane Debbah:
Deterministic Equivalents for the Performance Analysis of Isometric Random Precoded Systems. ICC 2011: 1-5 - [c11]Sebastian Wagner, Romain Couillet, Mérouane Debbah, Dirk T. M. Slock:
Deterministic Equivalent for the SINR of Regularized Zero-Forcing Precoding in Correlated MISO Broadcast Channels with Imperfect CSIT. ICC 2011: 1-5 - [i13]Romain Couillet, Mérouane Debbah:
Signal Processing in Large Systems: a New Paradigm. CoRR abs/1105.0060 (2011) - [i12]Jakob Hoydis, Romain Couillet, Mérouane Debbah:
Random Beamforming over Correlated Fading Channels. CoRR abs/1105.0569 (2011) - [i11]Jakob Hoydis, Romain Couillet, Mérouane Debbah:
Asymptotic Analysis of Double-Scattering Channels. CoRR abs/1105.1943 (2011) - [i10]Romain Couillet, Walid Hachem:
Local failure detection and diagnosis in large sensor networks. CoRR abs/1107.1409 (2011) - [i9]Romain Couillet, Samir Medina Perlaza, Hamidou Tembine, Mérouane Debbah:
Electrical Vehicles in the Smart Grid: A Mean Field Game Analysis. CoRR abs/1110.1732 (2011) - [i8]Jakob Hoydis, Romain Couillet, Mérouane Debbah:
Iterative Deterministic Equivalents for the Performance Analysis of Communication Systems. CoRR abs/1112.4167 (2011) - 2010
- [b1]Romain Couillet:
Application of random matrix theory to future wireless flexible networks. (Application des matrices aléatoires aux futurs réseaux flexibles de communications sans fil). University of Paris-Sud, Orsay, France, 2010 - [j2]Romain Couillet, Mérouane Debbah:
A Bayesian framework for collaborative multi-source signal sensing. IEEE Trans. Signal Process. 58(10): 5186-5195 (2010) - [c10]Romain Couillet, Mérouane Debbah:
Information Theoretic approach to Synchronization: The OFDM Carrier Frequency Offset Example. AICT 2010: 131-135 - [c9]Jakob Hoydis, Jamal Najim, Romain Couillet, Mérouane Debbah:
Fluctuations of the mutual information in large distributed antenna systems with colored noise. Allerton 2010: 240-245 - [c8]Sebastian Wagner, Romain Couillet, Mérouane Debbah, Dirk T. M. Slock:
Optimal Training in Large TDD Multi-User Downlink Systems under Zero-Forcing and Regularized Zero-Forcing Precoding. GLOBECOM 2010: 1-5 - [c7]Romain Couillet, Jack W. Silverstein, Mérouane Debbah:
Eigen-inference for multi-source power estimation. ISIT 2010: 1673-1677 - [c6]Romain Couillet, H. Vincent Poor, Mérouane Debbah:
Self-organized spectrum sharing in large MIMO multiple-access channels. ISIT 2010: 2303-2307 - [i7]Romain Couillet, Jack W. Silverstein, Mérouane Debbah:
Eigen-Inference for Multi-User Power Detection. CoRR abs/1001.3934 (2010) - [i6]Romain Couillet, Jakob Hoydis, Mérouane Debbah:
A Deterministic Equivalent Approach to the Performance Analysis of Isometric Random Precoded Systems. CoRR abs/1011.3717 (2010)
2000 – 2009
- 2009
- [j1]Romain Couillet, Mérouane Debbah:
Outage Performance of Flexible OFDM Schemes in Packet-Switched Transmissions. EURASIP J. Adv. Signal Process. 2009 (2009) - [c5]Romain Couillet, Mérouane Debbah:
Flexible OFDM schemes for bursty transmissions. WCNC 2009: 460-465 - [c4]Romain Couillet, Mérouane Debbah:
Bayesian inference for multiple antenna cognitive receivers. WCNC 2009: 509-514 - [c3]Romain Couillet, Sebastian Wagner, Mérouane Debbah:
Asymptotic analysis of correlated multi-antenna broadcast channels. WCNC 2009: 831-836 - [i5]Romain Couillet, Mérouane Debbah, Jack W. Silverstein:
A deterministic equivalent for the capacity analysis of correlated multi-user MIMO channels. CoRR abs/0906.3667 (2009) - [i4]Romain Couillet, Sebastian Wagner, Mérouane Debbah:
Asymptotic Analysis of Linear Precoding Techniques in Correlated Multi-Antenna Broadcast Channels. CoRR abs/0906.3682 (2009) - 2008
- [c2]Romain Couillet, Mérouane Debbah:
Free deconvolution for OFDM multicell SNR detection. PIMRC 2008: 1-5 - [c1]Romain Couillet, Sebastian Wagner, Mérouane Debbah, Alonso Silva:
The space frontier: physical limits of multiple antenna information transfer. VALUETOOLS 2008: 84 - [i3]Romain Couillet, Mérouane Debbah:
Cognitive OFDM network sensing: a free probability approach. CoRR abs/0811.0731 (2008) - [i2]Romain Couillet, Mérouane Debbah:
Multiple Antenna Cognitive Receivers and Signal Detection. CoRR abs/0811.0764 (2008) - [i1]Romain Couillet, Mérouane Debbah:
A maximum entropy approach to OFDM channel estimation. CoRR abs/0811.0778 (2008)
Coauthor Index
[j27] [j24] [j19] [c43] [c40] [i21] [c38] [c35] [i19] [j13] [j12] [j10] [j9] [c31] [c29] [i16] [i15] [j7] [j6] [j5] [c25] [c24] [c23] [c21] [c20] [c18] [j4] [j3] [c17] [c14] [c13] [c12] [c11] [i13] [i12] [i11] [i9] [i8] [j2] [c10] [c9] [c8] [c7] [c6] [i7] [i6] [j1] [c5] [c4] [c3] [i5] [i4] [c2] [c1] [i3] [i2] [i1]
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