Book Chapters

The Fisher-Rao geometry of CES distributions

Florent Bouchard, Arnaud Breloy, Antoine Collas, Alexandre Renaux, Guillaume Ginolhac
In Springer (to appear), 2023.

An overview of covariance-based change detection methodologies in multivariate SAR image time series

Ammar Mian, Guillaume Ginolhac, Jean-Philippe Ovarlez, Arnaud Breloy, Frédéric Pascal
In Wiley Online Library (Book chapter), 2021.

ML Conferences

Learning graphical factor models with Riemannian optimization

Alexandre Hippert Ferrer, Florent Bouchard, Ammar Mian, Titouan Vayer, Arnaud Breloy
In Machine Learning and Knowledge Discovery in Databases, 2023.

SP Journals

Through the Wall Radar Imaging via Kronecker-structured Huber-type RPCA

Hugo Brehier, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac
In Signal Processing, 2023.

Robust phase linking in InSAR

Hoa Vu, Arnaud Breloy, Frédéric Brigui, Yajing Yan, Guillaume Ginolhac
In IEEE Transactions on Geoscience and Remote Sensing, 2023.

Riemannian optimization for non-centered mixture of scaled Gaussian distributions

Antoine Collas, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac, Jean-Philippe Ovarlez
In IEEE Transactions on Signal Processing, 2023.

Multifrequency array calibration in presence of radio frequency interferences

Yassine Mhiri, Mohammed Nabil El Korso, Arnaud Breloy, Pascal Larzabal
In Signal Processing, 2022.

Regularized tapered sample covariance matrix

Esa Ollila, Arnaud Breloy
In IEEE Transactions on Signal Processing, 2022.

Robust low-rank covariance matrix estimation with a general pattern of missing values

Alexandre Hippert Ferrer, Mohammed Nabil El Korso, Arnaud Breloy, Guillaume Ginolhac
In Signal Processing, 2022.

Probabilistic PCA from heteroscedastic signals: geometric framework and application to clustering

Antoine Collas, Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean-Philippe Ovarlez
In IEEE Transactions on Signal Processing, 2021.

Robust mean and covariance matrix estimation under heterogeneous mixed-effects model with missing values

Alexandre Hippert Ferrer, Mohammed Nabil El Korso, Arnaud Breloy, Guillaume Ginolhac
In Signal Processing, 2021.

MIMO filters based on robust rank-constrained Kronecker covariance matrix estimation

Arnaud Breloy, Guillaume Ginolhac, Yongchan Gao, Frédéric Pascal
In Signal Processing, 2021.

Majorization-Minimization on the Stiefel manifold with application to robust sparse PCA

Arnaud Breloy, Sandeep Kumar, Ying Sun, Daniel P. Palomar
In IEEE Transactions on Signal Processing, 2021.

A Riemannian framework for low-rank structured elliptical models

Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Alexandre Renaux, Frédéric Pascal
In IEEE Transactions on Signal Processing, 2021.

Matched and mismatched estimation of Kronecker product of linearly structured scatter matrices under elliptical distributions

Bruno Meriaux, Chengfang Ren, Arnaud Breloy, Mohammed Nabil El Korso, Philippe Forster
In IEEE Transactions on Signal Processing, 2021.

Robust low-rank change detection for multivariate SAR image time series

Ammar Mian, Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Jean-Philippe Ovarlez
In IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020.

Two-dimensional robust source localization under non-Gaussian noise

Abdellah Bouiba, Mohammed Nabil El Korso, Arnaud Breloy, Philippe Forster, M'hamed Hamadouche, Mohand LAGHA
In Circuits, Systems, and Signal Processing, 2020.

Bayesian signal subspace estimation with compound Gaussian sources

Rayen Ben Abdallah, Arnaud Breloy, Mohammed Nabil El Korso, David Lautru
In Signal Processing, 2020.

On the performance of robust plug-in detectors using M-estimators

Gordana Drašković, Arnaud Breloy, Frédéric Pascal
In Signal Processing, 2020.

Robust estimation of structured scatter matrices in (mis)matched models

Bruno Meriaux, Chengfang Ren, Mohammed Nabil El Korso, Arnaud Breloy, Philippe Forster
In Signal Processing, 2019.

On the asymptotics of Maronna's robust PCA

Gordana Drašković, Arnaud Breloy, Frédéric Pascal
In IEEE Transactions on Signal Processing, 2019.

Detection methods based on structured covariance matrices for multivariate SAR images processing

Rayen Ben Abdallah, Ammar Mian, Arnaud Breloy, Abigael Taylor, Mohammed Nabil El Korso, David Lautru
In IEEE Geoscience and Remote Sensing Letters, 2019.

Intrinsic Cramér–Rao bounds for scatter and shape matrices estimation in CES distributions

Arnaud Breloy, Guillaume Ginolhac, Alexandre Renaux, Florent Bouchard
In IEEE Signal Processing Letters, 2019.

Asymptotic performance of complex M-estimators for multivariate location and scatter estimation

Bruno Meriaux, Chengfang Ren, Mohammed Nabil El Korso, Arnaud Breloy, Philippe Forster
In IEEE Signal Processing Letters, 2019.

Robust covariance matrix estimation in heterogeneous low rank context

Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
In IEEE Transactions on Signal Processing, 2016.

Low-complexity algorithms for low rank clutter parameters estimation in radar systems

Ying Sun, Arnaud Breloy, Prabhu Babu, Daniel P. Palomar, Guillaume Ginolhac, Frédéric Pascal
In IEEE Transactions on Signal Processing, 2016.

Clutter subspace estimation in low rank heterogeneous noise context

Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
In IEEE Transactions on Signal Processing, 2015.

Selected SP conferences

Entropic Wasserstein Component Analysis

Antoine Collas, Titouan Vayer, Rémi Flamary, Arnaud Breloy
In International Workshop on Machine Learning for Signal Processing (MLSP), 2023.

Covariance fitting based InSAR Phase Linking

Hoa Vu, Arnaud Breloy, Frédéric Brigui, Yajing Yan, Guillaume Ginolhac
In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2023.

Robust and globally sparse PCA via majorization-minimization and variable splitting

Hugo Brehier, Arnaud Breloy, Mohammed Nabil El Korso, Sandeep Kumar
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.

A Robust EM Algorithm for Radio Interferometric Imaging in The Presence of Outliers

Yassine Mhiri, Mohammed Nabil El Korso, Arnaud Breloy, Pascal Larzabal
In IEEE Workshop on Signal Processing Systems (SiPS), 2022.

Robust Geometric Metric Learning

Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean-Philippe Ovarlez
In European Signal Processing Conference (EUSIPCO) (Best student paper award!), 2022.

Robust PCA for Through-the-Wall Radar Imaging

Hugo Brehier, Arnaud Breloy, Chengfang Ren, Israel Hinostroza, Guillaume Ginolhac
In European Signal Processing Conference (EUSIPCO), 2022.

A New Phase Linking Algorithm for Multi-temporal InSAR based on the Maximum Likelihood Estimator

Hoa Vu, Frédéric Brigui, Arnaud Breloy, Yajing Yan, Guillaume Ginolhac
In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022.

On the use of geodesic triangles between Gaussian distributions for classification problems

Antoine Collas, Florent Bouchard, Guillaume Ginolhac, Arnaud Breloy, Chengfang Ren, Jean-Philippe Ovarlez
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.

On-line Kronecker Product Structured Covariance Estimation with Riemannian geometry for t-distributed data

Florent Bouchard, Arnaud Breloy, Ammar Mian, Guillaume Ginolhac
In European Signal Processing Conference (EUSIPCO), 2021.

Expectation-Maximization Based Direction of Arrival Estimation Under a Mixture of Noise

Yassine Mhiri, Mohammed Nabil El Korso, Lucien Bacharach, Arnaud Breloy, Pascal Larzabal
In European Signal Processing Conference (EUSIPCO), 2021.

A Tyler-Type Estimator of Location and Scatter Leveraging Riemannian Optimization

Antoine Collas, Florent Bouchard, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac, Jean-Philippe Ovarlez
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.

A Riemannian approach to blind separation of t-distributed sources

Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Alexandre Renaux
In European Signal Processing Conference (EUSIPCO), 2020.

Riemannian Geometry and Cramér-rao Bound for Blind Separation of Gaussian Sources

Florent Bouchard, Arnaud Breloy, Alexandre Renaux, Guillaume Ginolhac
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020.

Modified Sparse Subspace Clustering for Radar Detection in Non-stationary Clutter

Bruno Meriaux, Arnaud Breloy, Chengfang Ren, Mohammed Nabil El Korso, Philippe Forster
In IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2019.

Spectral Shrinkage of Tyler's M-Estimator of Covariance Matrix

Arnaud Breloy, Esa Ollila, Frédéric Pascal
In IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2019.

Robust Subspace Clustering for Radar Detection

Arnaud Breloy, Mohammed Nabil El Korso, Ashkan Panahi, Hamid Krim
In European Signal Processing Conference (EUSIPCO), 2018.

Robust-COMET for covariance estimation in convex structures: Algorithm and statistical properties

Bruno Meriaux, Chengfang Ren, Mohammed Nabil El Korso, Arnaud Breloy, Philippe Forster
In IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017.

A subspace approach for shrinkage parameter selection in undersampled configuration for Regularised Tyler Estimators

Quentin Hoarau, Arnaud Breloy, Guillaume Ginolhac, Abdourrahmane M. Atto, Jean-Marie Nicolas
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017.

Robust rank constrained Kronecker covariance matrix estimation

Arnaud Breloy, Ying Sun, Prabhu Babu, Guillaume Ginolhac, Daniel P. Palomar
In Asilomar Conference on Signals, Systems and Computers, 2016.

A robust signal subspace estimator

Arnaud Breloy, Ying Sun, Prabhu Babu, Daniel P. Palomar, Guillaume Ginolhac, Frédéric Pascal
In IEEE Statistical Signal Processing Workshop (SSP), 2016.

Maximum likelihood estimation of clutter subspace in non homogeneous noise context

Arnaud Breloy, Luc Le Magoarou, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
In European Signal Processing Conference (EUSIPCO), 2013.