Romain Couillet

According to our database1, Romain Couillet authored at least 153 papers between 2008 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
A Large Dimensional Study of Regularized Discriminant Analysis.
IEEE Trans. Signal Process., 2020

Sparse Quantized Spectral Clustering.
CoRR, 2020

Large Dimensional Analysis and Improvement of Multi Task Learning.
CoRR, 2020

Consistent Semi-Supervised Graph Regularization for High Dimensional Data.
CoRR, 2020

A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent.
CoRR, 2020

Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian.
CoRR, 2020

A unified framework for spectral clustering in sparse graphs.
CoRR, 2020

Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures.
CoRR, 2020

Performance-Complexity Trade-Off in Large Dimensional Statistics.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Large Dimensional Asymptotics of Multi-Task Learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Optimal Laplacian Regularization for Sparse Spectral Community Detection.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
A Large Dimensional Analysis of Least Squares Support Vector Machines.
IEEE Trans. Signal Process., 2019

Random matrix-improved estimation of covariance matrix distances.
J. Multivar. Anal., 2019

Inner-product Kernels are Asymptotically Equivalent to Binary Discrete Kernels.
CoRR, 2019

Optimized Deformed Laplacian for Spectrum-based Community Detection in Sparse Heterogeneous Graphs.
CoRR, 2019

Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Random Matrix Improved Covariance Estimation for a Large Class of Metrics.
Proceedings of the 36th International Conference on Machine Learning, 2019

A Kernel Random Matrix-Based Approach for Sparse PCA.
Proceedings of the 7th International Conference on Learning Representations, 2019

Improved Estimation of the Distance between Covariance Matrices.
Proceedings of the IEEE International Conference on Acoustics, 2019

Kernel Random Matrices of Large Concentrated Data: the Example of GAN-Generated Images.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Large Scale Analysis of Logistic Regression: Asymptotic Performance and New Insights.
Proceedings of the IEEE International Conference on Acoustics, 2019

Revisiting and Improving Semi-supervised Learning: A Large Dimensional Approach.
Proceedings of the IEEE International Conference on Acoustics, 2019

Community Detection in Sparse Realistic Graphs: Improving the Bethe Hessian.
Proceedings of the IEEE International Conference on Acoustics, 2019

Latent Heterogeneous Multilayer Community Detection.
Proceedings of the IEEE International Conference on Acoustics, 2019

Random Matrix-Improved Estimation of the Wasserstein Distance between two Centered Gaussian Distributions.
Proceedings of the 27th European Signal Processing Conference, 2019

Estimation of Covariance Matrix Distances in the High Dimension Low Sample Size Regime.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

A Concentration of Measure Perspective to Robust Statistics.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

On Inner-Product Kernels of High Dimensional Data.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Asymptotic Gaussian Fluctuations of Spectral Clustering Eigenvectors.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

High Dimensional Robust Classification: A Random Matrix Analysis.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

A Random Matrix Analysis and Optimization Framework to Large Dimensional Transfer Learning.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018
Gallager Bound for MIMO Channels: Large- $N$ Asymptotics.
IEEE Trans. Wirel. Commun., 2018

High-Dimensional MVDR Beamforming: Optimized Solutions Based on Spiked Random Matrix Models.
IEEE Trans. Signal Process., 2018

Large-Dimensional Behavior of Regularized Maronna's M-Estimators of Covariance Matrices.
IEEE Trans. Signal Process., 2018

Optimal Design of the Adaptive Normalized Matched Filter Detector Using Regularized Tyler Estimators.
IEEE Trans. Aerosp. Electron. Syst., 2018

A Geometric Approach of Gradient Descent Algorithms in Neural Networks.
CoRR, 2018

Random Matrix-Optimized High-Dimensional MVDR Beamforming.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Random Matrix-Improved Kernels For Large Dimensional Spectral Clustering.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

The Dynamics of Learning: A Random Matrix Approach.
Proceedings of the 35th International Conference on Machine Learning, 2018

On the Spectrum of Random Features Maps of High Dimensional Data.
Proceedings of the 35th International Conference on Machine Learning, 2018

A Random Matrix and Concentration Inequalities Framework for Neural Networks Analysis.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Random Matrix Asymptotics of Inner Product Kernel Spectral Clustering.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Classification Asymptotics in the Random Matrix Regime.
Proceedings of the 26th European Signal Processing Conference, 2018

Semi-Supervised Spectral Clustering.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Reducing the Computational Complexity of Multicasting in Large-Scale Antenna Systems.
IEEE Trans. Wirel. Commun., 2017

Large System Analysis of Power Normalization Techniques in Massive MIMO.
IEEE Trans. Veh. Technol., 2017

Improved spectral community detection in large heterogeneous networks.
J. Mach. Learn. Res., 2017

A random matrix analysis and improvement of semi-supervised learning for large dimensional data.
CoRR, 2017

A Random Matrix Approach to Neural Networks.
CoRR, 2017

The Gallager Bound in Fiber Optical MIMO.
Proceedings of the WSA 2017, 2017

Asymptotic performance of regularized quadratic discriminant analysis based classifiers.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

The counterintuitive mechanism of graph-based semi-supervised learning in the big data regime.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Harnessing neural networks: A random matrix approach.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Random matrices meet machine learning: A large dimensional analysis of LS-SVM.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Large System Analysis of Base Station Cooperation for Power Minimization.
IEEE Trans. Wirel. Commun., 2016

Convergence and Fluctuations of Regularized Tyler Estimators.
IEEE Trans. Signal Process., 2016

Large-System Estimation Performance in Noisy Compressed Sensing With Random Support of Known Cardinality - A Bayesian Analysis.
IEEE Trans. Signal Process., 2016

Distributed Production-Sharing Optimization and Application to Power Grid Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2016

Perspectives en matrices aléatoires et grands réseaux.
Traitement du Signal, 2016

Estimation robuste et matrices aléatoires.
Traitement du Signal, 2016

Introduction.
Traitement du Signal, 2016

Second order statistics of robust estimators of scatter. Application to GLRT detection for elliptical signals.
J. Multivar. Anal., 2016

The Asymptotic Performance of Linear Echo State Neural Networks.
J. Mach. Learn. Res., 2016

Optimal adaptive normalized matched filter for large antenna arrays.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Training performance of echo state neural networks.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Robust shrinkage M-estimators of large covariance matrices.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

A Random Matrix Approach to Echo-State Neural Networks.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Performance analysis of spectral community detection in realistic graph models.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Random matrix improved subspace clustering.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

Random matrix improved community detection in heterogeneous networks.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
A Robust Statistics Approach to Minimum Variance Portfolio Optimization.
IEEE Trans. Signal Process., 2015

Estimation of Toeplitz Covariance Matrices in Large Dimensional Regime With Application to Source Detection.
IEEE Trans. Signal Process., 2015

Interference-Aware RZF Precoding for Multicell Downlink Systems.
IEEE Trans. Signal Process., 2015

Large Dimensional Analysis of Robust M-Estimators of Covariance With Outliers.
IEEE Trans. Signal Process., 2015

The Second-Order Coding Rate of the MIMO Quasi-Static Rayleigh Fading Channel.
IEEE Trans. Inf. Theory, 2015

On the Convergence of Maronna's M-Estimators of Scatter.
IEEE Signal Process. Lett., 2015

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

The random matrix regime of Maronna's M-estimator with elliptically distributed samples.
J. Multivar. Anal., 2015

Optimal Design of the Adaptive Normalized Matched Filter Detector.
CoRR, 2015

On the necessity of binning for the distributed hypothesis testing problem.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Large dimensional analysis of Maronna's M-estimator with outliers.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Second order statistics of bilinear forms of robust scatter estimators.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Base Station Cooperation for Power Minimization in the Downlink: Large System Analysis.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

Minimum variance portfolio optimization in the spiked covariance model.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

RMT for whitening space correlation and applications to radar detection.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Understanding big data spectral clustering.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
Robust Estimates of Covariance Matrices in the Large Dimensional Regime.
IEEE Trans. Inf. Theory, 2014

Large dimensional analysis and optimization of robust shrinkage covariance matrix estimators.
J. Multivar. Anal., 2014

Interference-Aware RZF Precoding for Multi-Cell Downlink Systems.
CoRR, 2014

Robust M-estimator of scatter for large elliptical samples.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Robust covariance estimation and linear shrinkage in the large dimensional regime.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Asymptotic analysis of beamspace-MUSIC in the context of large arrays.
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

Asynchronous alternating direction method of multipliers applied to the direct-current optimal power flow problem.
Proceedings of the IEEE International Conference on Acoustics, 2014

Estimation of large toeplitz covariance matrices and application to source detection.
Proceedings of the 22nd European Signal Processing Conference, 2014

Robust G-MUSIC.
Proceedings of the 22nd European Signal Processing Conference, 2014

Joint estimation and detection against independence.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

Minimum variance portfolio optimization with robust shrinkage covariance estimation.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Statistical Inference in Large Antenna Arrays Under Unknown Noise Pattern.
IEEE Trans. Signal Process., 2013

Fluctuations of an Improved Population Eigenvalue Estimator in Sample Covariance Matrix Models.
IEEE Trans. Inf. Theory, 2013

Performance of Mutual Information Inference Methods Under Unknown Interference.
IEEE Trans. Inf. Theory, 2013

Fluctuations of Spiked Random Matrix Models and Failure Diagnosis in Sensor Networks.
IEEE Trans. Inf. Theory, 2013

Signal Processing in Large Systems: A New Paradigm.
IEEE Signal Process. Mag., 2013

Large System Analysis of Linear Precoding in MISO Broadcast Channels with Confidential Messages.
IEEE J. Sel. Areas Commun., 2013

The Second-Order Coding Rate of the MIMO Rayleigh Block-Fading Channel
CoRR, 2013

Bounds on the second-order coding rate of the MIMO Rayleigh block-fading channel.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

A new method for source detection, power estimation, and localization in large sensor networks under noise with unknown statistics.
Proceedings of the IEEE International Conference on Acoustics, 2013

Secrecy sum-rates with regularized channel inversion precoding under imperfect CSI at the transmitter.
Proceedings of the IEEE International Conference on Acoustics, 2013

A joint robust estimation and random matrix framework with application to array processing.
Proceedings of the IEEE International Conference on Acoustics, 2013

Second-order analysis of the joint SINR distribution in Rayleigh multiple access and broadcast channels.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

Analysis and management of heterogeneous user mobility in large-scale downlink systems.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Large System Analysis of Linear Precoding in Correlated MISO Broadcast Channels Under Limited Feedback.
IEEE Trans. Inf. Theory, 2012

Random Beamforming Over Quasi-Static and Fading Channels: A Deterministic Equivalent Approach.
IEEE Trans. Inf. Theory, 2012

Electrical Vehicles in the Smart Grid: A Mean Field Game Analysis.
IEEE J. Sel. Areas Commun., 2012

Robust M-Estimation for Array Processing: A Random Matrix Approach
CoRR, 2012

Analysis of multicell cooperation with random user locations via deterministic equivalents.
Proceedings of the 10th International Symposium on Modeling and Optimization in Mobile, 2012

Sum-rate optimization for the MIMO IC under imperfect CSI: A deterministic equivalent approach.
Proceedings of the 13th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2012

Concurrent data transmissions in green wireless networks: When best send one's packets?
Proceedings of the 2012 International Symposium on Wireless Communication Systems (ISWCS), 2012

A random matrix approach to the finite blocklength regime of MIMO fading channels.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

A subspace approach to fault diagnostics in large power systems.
Proceedings of the 5th International Symposium on Communications, 2012

A mean field game analysis of electric vehicles in the smart grid.
Proceedings of the 2012 Proceedings IEEE INFOCOM Workshops, 2012

On the fluctuations of the SINR at the output of the Wiener filter for non centered channels: The non Gaussian case.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Optimal 3D cell planning: A random matrix approach.
Proceedings of the 2012 IEEE Global Communications Conference, 2012

2011
Eigen-Inference for Energy Estimation of Multiple Sources.
IEEE Trans. Inf. Theory, 2011

A Deterministic Equivalent for the Analysis of Correlated MIMO Multiple Access Channels.
IEEE Trans. Inf. Theory, 2011

Iterative Deterministic Equivalents for the Performance Analysis of Communication Systems
CoRR, 2011

Local failure detection and diagnosis in large sensor networks
CoRR, 2011

Random Beamforming over Correlated Fading Channels
CoRR, 2011

Deterministic Equivalent for the SINR of Regularized Zero-Forcing Precoding in Correlated MISO Broadcast Channels with Imperfect CSIT.
Proceedings of IEEE International Conference on Communications, 2011

Deterministic Equivalents for the Performance Analysis of Isometric Random Precoded Systems.
Proceedings of IEEE International Conference on Communications, 2011

CLT for eigen-inference methods in cognitive radios.
Proceedings of the IEEE International Conference on Acoustics, 2011

A CLT for Capacity Inference Methods under Colored Interference.
Proceedings of the Global Communications Conference, 2011

Distributed convex stochastic optimization under few constraints in large networks.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

Asymptotic analysis of double-scattering channels.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Local failure localization in large sensor networks.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Application of random matrix theory to future wireless flexible networks. (Application des matrices aléatoires aux futurs réseaux flexibles de communications sans fil).
PhD thesis, 2010

A Bayesian framework for collaborative multi-source signal sensing.
IEEE Trans. Signal Process., 2010

A Deterministic Equivalent Approach to the Performance Analysis of Isometric Random Precoded Systems
CoRR, 2010

Eigen-Inference for Multi-User Power Detection
CoRR, 2010

Eigen-inference for multi-source power estimation.
Proceedings of the IEEE International Symposium on Information Theory, 2010

Self-organized spectrum sharing in large MIMO multiple-access channels.
Proceedings of the IEEE International Symposium on Information Theory, 2010

Optimal Training in Large TDD Multi-User Downlink Systems under Zero-Forcing and Regularized Zero-Forcing Precoding.
Proceedings of the Global Communications Conference, 2010

Information Theoretic approach to Synchronization: The OFDM Carrier Frequency Offset Example.
Proceedings of the Sixth Advanced International Conference on Telecommunications, 2010

2009
Outage Performance of Flexible OFDM Schemes in Packet-Switched Transmissions.
EURASIP J. Adv. Signal Process., 2009

Asymptotic Analysis of Linear Precoding Techniques in Correlated Multi-Antenna Broadcast Channels
CoRR, 2009

A deterministic equivalent for the capacity analysis of correlated multi-user MIMO channels
CoRR, 2009

Asymptotic analysis of correlated multi-antenna broadcast channels.
Proceedings of the 2009 IEEE Wireless Communications and Networking Conference, 2009

Bayesian inference for multiple antenna cognitive receivers.
Proceedings of the 2009 IEEE Wireless Communications and Networking Conference, 2009

Flexible OFDM schemes for bursty transmissions.
Proceedings of the 2009 IEEE Wireless Communications and Networking Conference, 2009

2008
A maximum entropy approach to OFDM channel estimation
CoRR, 2008

Multiple Antenna Cognitive Receivers and Signal Detection
CoRR, 2008

Cognitive OFDM network sensing: a free probability approach
CoRR, 2008

The space frontier: physical limits of multiple antenna information transfer.
Proceedings of the 3rd International ICST Conference on Performance Evaluation Methodologies and Tools, 2008

Free deconvolution for OFDM multicell SNR detection.
Proceedings of the IEEE 19th International Symposium on Personal, 2008


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