Free deconvolution for OFDM multicell SNR detection. - Romain Couillet; Mérouane Debbah (PIMRC, 2008)

The space frontier: physical limits of multiple antenna information transfer. - Romain Couillet; Sebastian Wagner 002; Mérouane Debbah; Alonso Silva (VALUETOOLS, 2008)

Cognitive OFDM network sensing: a free probability approach - Romain Couillet; Mérouane Debbah (CoRR, 2008)

Multiple Antenna Cognitive Receivers and Signal Detection - Romain Couillet; Mérouane Debbah (CoRR, 2008)

A maximum entropy approach to OFDM channel estimation - Romain Couillet; Mérouane Debbah (CoRR, 2008)

Flexible OFDM schemes for bursty transmissions. - Romain Couillet; Mérouane Debbah (WCNC, 2009)

Bayesian inference for multiple antenna cognitive receivers. - Romain Couillet; Mérouane Debbah (WCNC, 2009)

Asymptotic analysis of correlated multi-antenna broadcast channels. - Romain Couillet; Sebastian Wagner 002; Mérouane Debbah (WCNC, 2009)

A deterministic equivalent for the capacity analysis of correlated multi-user MIMO channels - Romain Couillet; Mérouane Debbah; Jack W. Silverstein (CoRR, 2009)

Asymptotic Analysis of Linear Precoding Techniques in Correlated Multi-Antenna Broadcast Channels - Romain Couillet; Sebastian Wagner 002; Mérouane Debbah (CoRR, 2009)

Outage Performance of Flexible OFDM Schemes in Packet-Switched Transmissions. - Romain Couillet; Mérouane Debbah (EURASIP J. Adv. Signal Process., 2009)

Information Theoretic approach to Synchronization: The OFDM Carrier Frequency Offset Example. - Romain Couillet; Mérouane Debbah (AICT, 2010)

Fluctuations of the mutual information in large distributed antenna systems with colored noise. - Jakob Hoydis; Jamal Najim; Romain Couillet; Mérouane Debbah (Allerton, 2010)

Optimal Training in Large TDD Multi-User Downlink Systems under Zero-Forcing and Regularized Zero-Forcing Precoding. - Sebastian Wagner 002; Romain Couillet; Mérouane Debbah; Dirk T. M. Slock (GLOBECOM, 2010)

Self-organized spectrum sharing in large MIMO multiple-access channels. - Romain Couillet; H. Vincent Poor; Mérouane Debbah (ISIT, 2010)

Eigen-inference for multi-source power estimation. - Romain Couillet; Jack W. Silverstein; Mérouane Debbah (ISIT, 2010)

Eigen-Inference for Multi-User Power Detection - Romain Couillet; Jack W. Silverstein; Mérouane Debbah (CoRR, 2010)

A Deterministic Equivalent Approach to the Performance Analysis of Isometric Random Precoded Systems - Romain Couillet; Jakob Hoydis; Mérouane Debbah (CoRR, 2010)

A Bayesian framework for collaborative multi-source signal sensing. - Romain Couillet; Mérouane Debbah (IEEE Trans. Signal Process., 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)

Local failure localization in large sensor networks. - Romain Couillet; Walid Hachem (ACSCC, 2011)

Asymptotic analysis of double-scattering channels. - Jakob Hoydis; Romain Couillet; Mérouane Debbah (ACSCC, 2011)

Distributed convex stochastic optimization under few constraints in large networks. - Romain Couillet; Pascal Bianchi; Jérémie Jakubowicz (CAMSAP, 2011)

A CLT for Capacity Inference Methods under Colored Interference. - Abla Kammoun; Romain Couillet; Jamal Najim; Mérouane Debbah (GLOBECOM, 2011)

CLT for eigen-inference methods in cognitive radios. - Jianfeng Yao; Romain Couillet; Jamal Najim; Eric Moulines; Mérouane Debbah (ICASSP, 2011)

Deterministic Equivalents for the Performance Analysis of Isometric Random Precoded Systems. - Jakob Hoydis; Romain Couillet; Mérouane Debbah (ICC, 2011)

Deterministic Equivalent for the SINR of Regularized Zero-Forcing Precoding in Correlated MISO Broadcast Channels with Imperfect CSIT. - Sebastian Wagner 002; Romain Couillet; Mérouane Debbah; Dirk T. M. Slock (ICC, 2011)

Random Beamforming over Correlated Fading Channels - Jakob Hoydis; Romain Couillet; Mérouane Debbah (CoRR, 2011)

Local failure detection and diagnosis in large sensor networks - Romain Couillet; Walid Hachem (CoRR, 2011)

Iterative Deterministic Equivalents for the Performance Analysis of Communication Systems - Jakob Hoydis; Romain Couillet; Mérouane Debbah (CoRR, 2011)

A Deterministic Equivalent for the Analysis of Correlated MIMO Multiple Access Channels. - Romain Couillet; Mérouane Debbah; Jack W. Silverstein (IEEE Trans. Inf. Theory, 2011)

Eigen-Inference for Energy Estimation of Multiple Sources. - Romain Couillet; Jack W. Silverstein; Zhidong Bai; Mérouane Debbah (IEEE Trans. Inf. Theory, 2011)

Optimal 3D cell planning: A random matrix approach. - Axel Müller 001; Jakob Hoydis; Romain Couillet; Mérouane Debbah (GLOBECOM, 2012)

On the fluctuations of the SINR at the output of the Wiener filter for non centered channels: The non Gaussian case. - Abla Kammoun; Malika Kharouf; Romain Couillet; Jamal Najim; Mérouane Debbah (ICASSP, 2012)

A mean field game analysis of electric vehicles in the smart grid. - Romain Couillet; Samir Medina Perlaza; Hamidou Tembine; Mérouane Debbah (INFOCOM Workshops, 2012)

A subspace approach to fault diagnostics in large power systems. - Romain Couillet; Enrico Zio (ISCCSP, 2012)

A random matrix approach to the finite blocklength regime of MIMO fading channels. - Jakob Hoydis; Romain Couillet; Pablo Piantanida; Mérouane Debbah (ISIT, 2012)

Concurrent data transmissions in green wireless networks: When best send one's packets? - Matthieu De Mari; Romain Couillet; Emilio Calvanese Strinati; Mérouane Debbah (ISWCS, 2012)

Sum-rate optimization for the MIMO IC under imperfect CSI: A deterministic equivalent approach. - Mohsen Rezaee; Romain Couillet; Maxime Guillaud; Gerald Matz (SPAWC, 2012)

Analysis of multicell cooperation with random user locations via deterministic equivalents. - Jakob Hoydis; Axel Müller 001; Romain Couillet; Mérouane Debbah (WiOpt, 2012)

Robust M-Estimation for Array Processing: A Random Matrix Approach - Romain Couillet; Frédéric Pascal 001; Jack W. Silverstein (CoRR, 2012)

Electrical Vehicles in the Smart Grid: A Mean Field Game Analysis. - Romain Couillet; Samir Medina Perlaza; Hamidou Tembine; Mérouane Debbah (IEEE J. Sel. Areas Commun., 2012)

Random Beamforming Over Quasi-Static and Fading Channels: A Deterministic Equivalent Approach. - Romain Couillet; Jakob Hoydis; Mérouane Debbah (IEEE Trans. Inf. Theory, 2012)

Large System Analysis of Linear Precoding in Correlated MISO Broadcast Channels Under Limited Feedback. - Sebastian Wagner 002; Romain Couillet; Mérouane Debbah; Dirk T. M. Slock (IEEE Trans. Inf. Theory, 2012)

Analysis and management of heterogeneous user mobility in large-scale downlink systems. - Axel Müller 001; Emil Björnson; Romain Couillet; Mérouane Debbah (ACSSC, 2013)

Second-order analysis of the joint SINR distribution in Rayleigh multiple access and broadcast channels. - Adrien Pelletier; Romain Couillet; Jamal Najim (ACSSC, 2013)

A joint robust estimation and random matrix framework with application to array processing. - Romain Couillet; Frédéric Pascal 001; Jack W. Silverstein (ICASSP, 2013)

Secrecy sum-rates with regularized channel inversion precoding under imperfect CSI at the transmitter. - Giovanni Geraci; Romain Couillet; Jinhong Yuan; Mérouane Debbah; Iain B. Collings (ICASSP, 2013)

A new method for source detection, power estimation, and localization in large sensor networks under noise with unknown statistics. - Julia Vinogradova; Romain Couillet; Walid Hachem (ICASSP, 2013)

Bounds on the second-order coding rate of the MIMO Rayleigh block-fading channel. - Jakob Hoydis; Romain Couillet; Pablo Piantanida (ISIT, 2013)

The Second-Order Coding Rate of the MIMO Rayleigh Block-Fading Channel - Jakob Hoydis; Romain Couillet; Pablo Piantanida (CoRR, 2013)

Large System Analysis of Linear Precoding in MISO Broadcast Channels with Confidential Messages. - Giovanni Geraci; Romain Couillet; Jinhong Yuan; Mérouane Debbah; Iain B. Collings (IEEE J. Sel. Areas Commun., 2013)

Signal Processing in Large Systems: A New Paradigm. - Romain Couillet; Mérouane Debbah (IEEE Signal Process. Mag., 2013)

Fluctuations of Spiked Random Matrix Models and Failure Diagnosis in Sensor Networks. - Romain Couillet; Walid Hachem (IEEE Trans. Inf. Theory, 2013)

Performance of Mutual Information Inference Methods Under Unknown Interference. - Abla Kammoun; Romain Couillet; Jamal Najim; Mérouane Debbah (IEEE Trans. Inf. Theory, 2013)

Fluctuations of an Improved Population Eigenvalue Estimator in Sample Covariance Matrix Models. - Jianfeng Yao; Romain Couillet; Jamal Najim; Mérouane Debbah (IEEE Trans. Inf. Theory, 2013)

Statistical Inference in Large Antenna Arrays Under Unknown Noise Pattern. - Julia Vinogradova; Romain Couillet; Walid Hachem (IEEE Trans. Signal Process., 2013)

Minimum variance portfolio optimization with robust shrinkage covariance estimation. - Liusha Yang; Romain Couillet; Matthew R. McKay (ACSSC, 2014)

Joint estimation and detection against independence. - Gil Katz; Pablo Piantanida; Romain Couillet; Mérouane Debbah (Allerton, 2014)

Robust G-MUSIC. - Romain Couillet; Abla Kammoun (EUSIPCO, 2014)

Estimation of large toeplitz covariance matrices and application to source detection. - Julia Vinogradova; Romain Couillet; Walid Hachem (EUSIPCO, 2014)

Asynchronous alternating direction method of multipliers applied to the direct-current optimal power flow problem. - Azary Abboud; Romain Couillet; Mérouane Debbah; Houria Siguerdidjane (ICASSP, 2014)

Asymptotic analysis of beamspace-MUSIC in the context of large arrays. - Pascal Vallet; Xavier Mestre; Philippe Loubaton; Romain Couillet (SAM, 2014)

Robust covariance estimation and linear shrinkage in the large dimensional regime. - Romain Couillet; Matthew R. McKay (MLSP, 2014)

Robust M-estimator of scatter for large elliptical samples. - Romain Couillet; Frédéric Pascal 001 (SSP, 2014)

Interference-Aware RZF Precoding for Multi-Cell Downlink Systems. - Axel Müller 001; Romain Couillet; Emil Björnson; Sebastian Wagner 002; Mérouane Debbah (CoRR, 2014)

Large dimensional analysis and optimization of robust shrinkage covariance matrix estimators. - Romain Couillet; Matthew R. McKay (J. Multivar. Anal., 2014)

Robust Estimates of Covariance Matrices in the Large Dimensional Regime. - Romain Couillet; Frédéric Pascal 001; Jack W. Silverstein (IEEE Trans. Inf. Theory, 2014)

Understanding big data spectral clustering. - Romain Couillet; Florent Benaych-Georges (CAMSAP, 2015)

RMT for whitening space correlation and applications to radar detection. - Romain Couillet; Maria Sabrina Greco; Jean Philippe Ovarlez; Frédéric Pascal 001 (CAMSAP, 2015)

Minimum variance portfolio optimization in the spiked covariance model. - Liusha Yang; Romain Couillet; Matthew R. McKay (CAMSAP, 2015)

Base Station Cooperation for Power Minimization in the Downlink: Large System Analysis. - Luca Sanguinetti; Romain Couillet; Mérouane Debbah (GLOBECOM, 2015)

Second order statistics of bilinear forms of robust scatter estimators. - Abla Kammoun; Romain Couillet; Frédéric Pascal 001 (ICASSP, 2015)

Large dimensional analysis of Maronna's M-estimator with outliers. - David Morales-Jiménez; Romain Couillet; Matthew R. McKay (ICASSP, 2015)

On the necessity of binning for the distributed hypothesis testing problem. - Gil Katz; Pablo Piantanida; Romain Couillet; Mérouane Debbah (ISIT, 2015)

Optimal Design of the Adaptive Normalized Matched Filter Detector. - Abla Kammoun; Romain Couillet; Frédéric Pascal 001; Mohamed-Slim Alouini (CoRR, 2015)

The random matrix regime of Maronna's M-estimator with elliptically distributed samples. - Romain Couillet; Frédéric Pascal 001; Jack W. Silverstein (J. Multivar. Anal., 2015)

Robust spiked random matrices and a robust G-MUSIC estimator. - Romain Couillet (J. Multivar. Anal., 2015)

On the Convergence of Maronna's M-Estimators of Scatter. - Yacine Chitour; Romain Couillet; Frédéric Pascal 001 (IEEE Signal Process. Lett., 2015)

The Second-Order Coding Rate of the MIMO Quasi-Static Rayleigh Fading Channel. - Jakob Hoydis; Romain Couillet; Pablo Piantanida (IEEE Trans. Inf. Theory, 2015)

Large Dimensional Analysis of Robust M-Estimators of Covariance With Outliers. - David Morales-Jiménez; Romain Couillet; Matthew R. McKay (IEEE Trans. Signal Process., 2015)

Interference-Aware RZF Precoding for Multicell Downlink Systems. - Axel Müller 001; Romain Couillet; Emil Björnson; Sebastian Wagner 002; Mérouane Debbah (IEEE Trans. Signal Process., 2015)

Estimation of Toeplitz Covariance Matrices in Large Dimensional Regime With Application to Source Detection. - Julia Vinogradova; Romain Couillet; Walid Hachem (IEEE Trans. Signal Process., 2015)

A Robust Statistics Approach to Minimum Variance Portfolio Optimization. - Liusha Yang; Romain Couillet; Matthew R. McKay (IEEE Trans. Signal Process., 2015)

Random matrix improved community detection in heterogeneous networks. - Hafiz Tiomoko Ali; Romain Couillet (ACSSC, 2016)

Random matrix improved subspace clustering. - Romain Couillet; Abla Kammoun (ACSSC, 2016)

Performance analysis of spectral community detection in realistic graph models. - Hafiz Tiomoko Ali; Romain Couillet (ICASSP, 2016)

A Random Matrix Approach to Echo-State Neural Networks. - Romain Couillet; Gilles Wainrib; Hafiz Tiomoko Ali; Harry Sevi (ICML, 2016)

Robust shrinkage M-estimators of large covariance matrices. - Nicolas Auguin; David Morales-Jiménez; Matthew R. McKay; Romain Couillet (SSP, 2016)

Training performance of echo state neural networks. - Romain Couillet; Gilles Wainrib; Harry Sevi; Hafiz Tiomoko Ali (SSP, 2016)

Optimal adaptive normalized matched filter for large antenna arrays. - Abla Kammoun; Romain Couillet; Frédéric Pascal 001; Mohamed-Slim Alouini (SSP, 2016)

The Asymptotic Performance of Linear Echo State Neural Networks. - Romain Couillet; Gilles Wainrib; Harry Sevi; Hafiz Tiomoko Ali (J. Mach. Learn. Res., 2016)

Second order statistics of robust estimators of scatter. Application to GLRT detection for elliptical signals. - Romain Couillet; Abla Kammoun; Frédéric Pascal 001 (J. Multivar. Anal., 2016)

Introduction. - Romain Couillet (Traitement du Signal, 2016)

Estimation robuste et matrices aléatoires. - Romain Couillet (Traitement du Signal, 2016)

Perspectives en matrices aléatoires et grands réseaux. - Romain Couillet; Gilles Wainrib (Traitement du Signal, 2016)

Distributed Production-Sharing Optimization and Application to Power Grid Networks. - Azary Abboud; Franck Iutzeler; Romain Couillet; Mérouane Debbah; Houria Siguerdidjane (IEEE Trans. Signal Inf. Process. over Networks, 2016)

Large-System Estimation Performance in Noisy Compressed Sensing With Random Support of Known Cardinality - A Bayesian Analysis. - Rémy Boyer; Romain Couillet; Bernard Henri Fleury; Pascal Larzabal (IEEE Trans. Signal Process., 2016)

Convergence and Fluctuations of Regularized Tyler Estimators. - Abla Kammoun; Romain Couillet; Frédéric Pascal 001; Mohamed-Slim Alouini (IEEE Trans. Signal Process., 2016)

Large System Analysis of Base Station Cooperation for Power Minimization. - Luca Sanguinetti; Romain Couillet; Mérouane Debbah (IEEE Trans. Wirel. Commun., 2016)

Random matrices meet machine learning: A large dimensional analysis of LS-SVM. - Zhenyu Liao 001; Romain Couillet (ICASSP, 2017)

Harnessing neural networks: A random matrix approach. - Cosme Louart; Romain Couillet (ICASSP, 2017)

The counterintuitive mechanism of graph-based semi-supervised learning in the big data regime. - Xiaoyi Mai; Romain Couillet (ICASSP, 2017)

Asymptotic performance of regularized quadratic discriminant analysis based classifiers. - Khalil Elkhalil; Abla Kammoun; Romain Couillet; Tareq Y. Al-Naffouri; Mohamed-Slim Alouini (MLSP, 2017)

The Gallager Bound in Fiber Optical MIMO. - Apostolos Karadimitrakis; Romain Couillet; Aris L. Moustakas; Luca Sanguinetti (WSA, 2017)

A Random Matrix Approach to Neural Networks. - Cosme Louart; Zhenyu Liao 001; Romain Couillet (CoRR, 2017)

A random matrix analysis and improvement of semi-supervised learning for large dimensional data. - Xiaoyi Mai; Romain Couillet (CoRR, 2017)

Improved spectral community detection in large heterogeneous networks. - Hafiz Tiomoko Ali; Romain Couillet (J. Mach. Learn. Res., 2017)

Large System Analysis of Power Normalization Techniques in Massive MIMO. - Meysam Sadeghi; Luca Sanguinetti; Romain Couillet; Chau Yuen (IEEE Trans. Veh. Technol., 2017)

Reducing the Computational Complexity of Multicasting in Large-Scale Antenna Systems. - Meysam Sadeghi; Luca Sanguinetti; Romain Couillet; Chau Yuen (IEEE Trans. Wirel. Commun., 2017)

Semi-Supervised Spectral Clustering. - Xiaoyi Mai; Romain Couillet (ACSSC, 2018)

Classification Asymptotics in the Random Matrix Regime. - Romain Couillet; Zhenyu Liao 001; Xiaoyi Mai (EUSIPCO, 2018)

Random Matrix Asymptotics of Inner Product Kernel Spectral Clustering. - Hafiz Tiomoko Ali; Abla Kammoun; Romain Couillet (ICASSP, 2018)

A Random Matrix and Concentration Inequalities Framework for Neural Networks Analysis. - Cosme Louart; Romain Couillet (ICASSP, 2018)

On the Spectrum of Random Features Maps of High Dimensional Data. - Zhenyu Liao 001; Romain Couillet (ICML, 2018)

The Dynamics of Learning: A Random Matrix Approach. - Zhenyu Liao 001; Romain Couillet (ICML, 2018)

Random Matrix-Improved Kernels For Large Dimensional Spectral Clustering. - Hafiz Tiomoko Ali; Abla Kammoun; Romain Couillet (SSP, 2018)

Random Matrix-Optimized High-Dimensional MVDR Beamforming. - Liusha Yang; Matthew R. McKay; Romain Couillet (SSP, 2018)

A Geometric Approach of Gradient Descent Algorithms in Neural Networks. - Yacine Chitour; Zhenyu Liao 001; Romain Couillet (CoRR, 2018)

Optimal Design of the Adaptive Normalized Matched Filter Detector Using Regularized Tyler Estimators. - Abla Kammoun; Romain Couillet; Frédéric Pascal 001; Mohamed-Slim Alouini (IEEE Trans. Aerosp. Electron. Syst., 2018)

Large-Dimensional Behavior of Regularized Maronna's M-Estimators of Covariance Matrices. - Nicolas Auguin; David Morales-Jiménez; Matthew R. McKay; Romain Couillet (IEEE Trans. Signal Process., 2018)

High-Dimensional MVDR Beamforming: Optimized Solutions Based on Spiked Random Matrix Models. - Liusha Yang; Matthew R. McKay; Romain Couillet (IEEE Trans. Signal Process., 2018)

Gallager Bound for MIMO Channels: Large- $N$ Asymptotics. - Apostolos Karadimitrakis; Aris L. Moustakas; Romain Couillet (IEEE Trans. Wirel. Commun., 2018)

A Random Matrix Analysis and Optimization Framework to Large Dimensional Transfer Learning. - Romain Couillet (CAMSAP, 2019)

High Dimensional Robust Classification: A Random Matrix Analysis. - Romain Couillet (CAMSAP, 2019)

Asymptotic Gaussian Fluctuations of Spectral Clustering Eigenvectors. - Arun Kadavankandy; Romain Couillet (CAMSAP, 2019)

On Inner-Product Kernels of High Dimensional Data. - Zhenyu Liao 001; Romain Couillet (CAMSAP, 2019)

A Concentration of Measure Perspective to Robust Statistics. - Cosme Louart; Romain Couillet (CAMSAP, 2019)

Estimation of Covariance Matrix Distances in the High Dimension Low Sample Size Regime. - Malik Tiomoko; Romain Couillet (CAMSAP, 2019)

Random Matrix-Improved Estimation of the Wasserstein Distance between two Centered Gaussian Distributions. - Malik Tiomoko; Romain Couillet (EUSIPCO, 2019)

Latent Heterogeneous Multilayer Community Detection. - Hafiz Tiomoko Ali; Sijia Liu 001; Yasin Yilmaz; Romain Couillet; Indika Rajapakse; Alfred O. Hero III (ICASSP, 2019)

Community Detection in Sparse Realistic Graphs: Improving the Bethe Hessian. - Lorenzo Dall'Amico; Romain Couillet (ICASSP, 2019)

Revisiting and Improving Semi-supervised Learning: A Large Dimensional Approach. - Xiaoyi Mai; Romain Couillet (ICASSP, 2019)

A Large Scale Analysis of Logistic Regression: Asymptotic Performance and New Insights. - Xiaoyi Mai; Zhenyu Liao 001; Romain Couillet (ICASSP, 2019)

Kernel Random Matrices of Large Concentrated Data: the Example of GAN-Generated Images. - Mohamed El Amine Seddik; Mohamed Tamaazousti; Romain Couillet (ICASSP, 2019)

Improved Estimation of the Distance between Covariance Matrices. - Malik Tiomoko; Romain Couillet; Eric Moisan; Steeve Zozor (ICASSP, 2019)

A Kernel Random Matrix-Based Approach for Sparse PCA. - Mohamed El Amine Seddik; Mohamed Tamaazousti; Romain Couillet (ICLR (Poster), 2019)

Random Matrix Improved Covariance Estimation for a Large Class of Metrics. - Malik Tiomoko; Romain Couillet; Florent Bouchard; Guillaume Ginolhac (ICML, 2019)

Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs. - Lorenzo Dall'Amico; Romain Couillet; Nicolas Tremblay (NeurIPS, 2019)

Optimized Deformed Laplacian for Spectrum-based Community Detection in Sparse Heterogeneous Graphs. - Lorenzo Dall'Amico; Romain Couillet; Nicolas Tremblay (CoRR, 2019)

Inner-product Kernels are Asymptotically Equivalent to Binary Discrete Kernels. - Zhenyu Liao 001; Romain Couillet (CoRR, 2019)

Random matrix-improved estimation of covariance matrix distances. - Romain Couillet; Malik Tiomoko; Steeve Zozor; Eric Moisan (J. Multivar. Anal., 2019)

A Large Dimensional Analysis of Least Squares Support Vector Machines. - Zhenyu Liao 001; Romain Couillet (IEEE Trans. Signal Process., 2019)

Word Representations Concentrate and This is Good News! - Romain Couillet; Yagmur Gizem Cinar; Éric Gaussier; Muhammad Imran (CoNLL, 2020)

Optimal Laplacian Regularization for Sparse Spectral Community Detection. - Lorenzo Dall'Amico; Romain Couillet; Nicolas Tremblay (ICASSP, 2020)

Large Dimensional Asymptotics of Multi-Task Learning. - Malik Tiomoko; Cosme Louart; Romain Couillet (ICASSP, 2020)

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)

Performance-Complexity Trade-Off in Large Dimensional Statistics. - Tayeb Zarrouk; Romain Couillet; Florent Chatelain; Nicolas Le Bihan (MLSP, 2020)

Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian. - Lorenzo Dall'Amico; Romain Couillet; Nicolas Tremblay (NeurIPS, 2020)

A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent. - Zhenyu Liao 001; Romain Couillet; Michael W. Mahoney (NeurIPS, 2020)

Large Dimensional Analysis and Improvement of Multi Task Learning. - Malik Tiomoko Ali; Romain Couillet; Hafiz Tiomoko (CoRR, 2020)

A Large Dimensional Study of Regularized Discriminant Analysis. - Khalil Elkhalil; Abla Kammoun; Romain Couillet; Tareq Y. Al-Naffouri; Mohamed-Slim Alouini (IEEE Trans. Signal Process., 2020)

The Unexpected Deterministic and Universal Behavior of Large Softmax Classifiers. - Mohamed El Amine Seddik; Cosme Louart; Romain Couillet; Mohamed Tamaazousti (AISTATS, 2021)

A Large-Dimensional Analysis of Symmetric SNE. - Charles Séjourné; Romain Couillet; Pierre Comon (ICASSP, 2021)

Sparse Quantized Spectral Clustering. - Zhenyu Liao 001; Romain Couillet; Michael W. Mahoney (ICLR, 2021)

Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach. - Malik Tiomoko; Hafiz Tiomoko Ali; Romain Couillet (ICLR, 2021)

Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering. - Romain Couillet; Florent Chatelain; Nicolas Le Bihan (ICML, 2021)

Nishimori meets Bethe: a spectral method for node classification in sparse weighted graphs. - Lorenzo Dall'Amico; Romain Couillet; Nicolas Tremblay (CoRR, 2021)

Multi-task learning on the edge: cost-efficiency and theoretical optimality. - Sami Fakhry; Romain Couillet; Malik Tiomoko (CoRR, 2021)

A Unified Framework for Spectral Clustering in Sparse Graphs. - Lorenzo Dall'Amico; Romain Couillet; Nicolas Tremblay (J. Mach. Learn. Res., 2021)

Consistent Semi-Supervised Graph Regularization for High Dimensional Data. - Xiaoyi Mai; Romain Couillet (J. Mach. Learn. Res., 2021)

Random matrices in service of ML footprint: ternary random features with no performance loss. - Hafiz Tiomoko Ali; Zhenyu Liao 001; Romain Couillet (ICLR, 2022)

A Random Matrix Analysis of Data Stream Clustering: Coping With Limited Memory Resources. - Hugo Lebeau; Romain Couillet; Florent Chatelain (ICML, 2022)

A Random Matrix Perspective on Random Tensors. - José Henrique de Morais Goulart; Romain Couillet; Pierre Comon (J. Mach. Learn. Res., 2022)

The Submerged Part of the AI-Ceberg [Perspectives]. - Romain Couillet; Denis Trystram; Thierry Ménissier (IEEE Signal Process. Mag., 2022)

Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture. - Minh-Toan Nguyen; Romain Couillet (AISTATS, 2023)

Large Dimensional Analysis of LS-SVM Transfer Learning: Application to Polsar Classification. - Cyprien Doz; Chengfang Ren; Jean Philippe Ovarlez; Romain Couillet (ICASSP, 2023)

PCA-based Multi-Task Learning: a Random Matrix Approach. - Malik Tiomoko; Romain Couillet; Frédéric Pascal 001 (ICML, 2023)

Asymptotic Bayes Risk of Semi-Supervised Learning with Uncertain Labeling. - Victor Leger; Romain Couillet (EUSIPCO, 2024)

A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation. - Hugo Lebeau; Florent Chatelain; Romain Couillet (CoRR, 2024)

Asymptotic Gaussian Fluctuations of Eigenvectors in Spectral Clustering. - Hugo Lebeau; Florent Chatelain; Romain Couillet (IEEE Signal Process. Lett., 2024)

A Large Dimensional Analysis of Multi-Task Semi-Supervised Learning. - Victor Leger; Romain Couillet (IEEE Trans. Signal Process., 2025)

Computing, Complexity and Degrowth : Systemic Considerations for Digital De-escalation. - Valentin Girard; Maud Rio; Romain Couillet (CoRR, 2025)

A Protocol to Address Ecological Redirection for Digital Practices in Organizations. - Valentin Girard; Antoine Martin; Maud Rio; Romain Couillet (CoRR, 2025)