Maximum likelihood estimation of clutter subspace in non homogeneous noise context. - Arnaud Breloy; Luc Le Magoarou; Guillaume Ginolhac; Frédéric Pascal 001; Philippe Forster (EUSIPCO, 2013)

Robust estimation of the clutter subspace for a Low Rank heterogeneous noise under high Clutter to Noise Ratio assumption. - Arnaud Breloy; Guillaume Ginolhac; Frédéric Pascal 001; Philippe Forster (ICASSP, 2014)

CFAR property and robustness of the lowrank adaptive normalized matched filters detectors in low rank compound gaussian context. - Arnaud Breloy; Guillaume Ginolhac; Frédéric Pascal 001; Philippe Forster (SAM, 2014)

Asymptotic detection performance analysis of the robust Adaptive Normalized Matched Filter. - Jean Philippe Ovarlez; Frédéric Pascal 001; Arnaud Breloy (CAMSAP, 2015)

Clutter Subspace Estimation in Low Rank Heterogeneous Noise Context. - Arnaud Breloy; Guillaume Ginolhac; Frédéric Pascal 001; Philippe Forster (IEEE Trans. Signal Process., 2015)

Robust rank constrained kronecker covariance matrix estimation. - Arnaud Breloy; Ying Sun 003; Prabhu Babu; Guillaume Ginolhac; Daniel Pérez Palomar (ACSSC, 2016)

Block majorization-minimization algorithms for low-rank clutter subspace estimation. - Arnaud Breloy; Ying Sun 003; Prabhu Babu; Daniel Pérez Palomar (EUSIPCO, 2016)

A robust signal subspace estimator. - Arnaud Breloy; Ying Sun 003; Prabhu Babu; Guillaume Ginolhac; Daniel Pérez Palomar; Frédéric Pascal 001 (SSP, 2016)

Robust Covariance Matrix Estimation in Heterogeneous Low Rank Context. - Arnaud Breloy; Guillaume Ginolhac; Frédéric Pascal 001; Philippe Forster (IEEE Trans. Signal Process., 2016)

Low-Complexity Algorithms for Low Rank Clutter Parameters Estimation in Radar Systems. - Ying Sun 003; Arnaud Breloy; Prabhu Babu; Daniel P. Palomar; Frédéric Pascal 001; Guillaume Ginolhac (IEEE Trans. Signal Process., 2016)

Robust-COMET for covariance estimation in convex structures: Algorithm and statistical properties. - Bruno Meriaux; Chengfang Ren; Mohammed Nabil El Korso; Arnaud Breloy; Philippe Forster (CAMSAP, 2017)

New asymptotic properties for the robust ANMF. - Gordana Draskovic; Frédéric Pascal 001; Arnaud Breloy; Jean-Yves Tourneret (ICASSP, 2017)

A subspace approach for shrinkage parameter selection in undersampled configuration for Regularised Tyler Estimators. - Q. Hoarau; Arnaud Breloy; Guillaume Ginolhac; Abdourrahmane M. Atto; Jean-Marie Nicolas 002 (ICASSP, 2017)

Robust Subspace Clustering for Radar Detection. - Arnaud Breloy; Mohammed Nabil El Korso; Ashkan Panahi; Hamid Krim (EUSIPCO, 2018)

Efficient Estimation of Scatter Matrix with Convex Structure Under $T$ -Distribution. - Bruno Meriaux; Chengfang Ren; Mohammed Nabil El Korso; Arnaud Breloy; Philippe Forster (ICASSP, 2018)

Spectral Shrinkage of Tyler's $M$-Estimator of Covariance Matrix. - Arnaud Breloy; Esa Ollila; Frédéric Pascal 001 (CAMSAP, 2019)

Modified Sparse Subspace Clustering for Radar Detection in Non-stationary Clutter. - Bruno Mériaux; Arnaud Breloy; Chengfang Ren; Mohammed Nabil El Korso; Philippe Forster (CAMSAP, 2019)

Bayesian Robust Signal Subspace Estimation in Non-Gaussian Environment. - Rayen Ben Abdallah; Arnaud Breloy; Mohammed Nabil El Korso; David Lautru (EUSIPCO, 2019)

Signal subspace change detection in structured covariance matrices. - Rayen Ben Abdallah; Arnaud Breloy; Abigaël Taylor; Mohammed Nabil El Korso; David Lautru (EUSIPCO, 2019)

On the Recursions of Robust COMET Algorithm for Convexly Structured Shape Matrix. - Bruno Mériaux; Chengfang Ren; Arnaud Breloy; Mohammed Nabil El Korso; Philippe Forster; Jean Philippe Ovarlez (EUSIPCO, 2019)

Robust Low-Rank Change Detection for Sar Image Time Series. - Ammar Mian; Arnaud Breloy; Guillaume Ginolhac; Jean Philippe Ovarlez (IGARSS, 2019)

Detection Methods Based on Structured Covariance Matrices for Multivariate SAR Images Processing. - Rayen Ben Abdallah; Ammar Mian; Arnaud Breloy; Abigaël Taylor; Mohammed Nabil El Korso; David Lautru (IEEE Geosci. Remote. Sens. Lett., 2019)

Robust estimation of structured scatter matrices in (mis)matched models. - Bruno Meriaux; Chengfang Ren; Mohammed Nabil El Korso; Arnaud Breloy; Philippe Forster (Signal Process., 2019)

Intrinsic Cramér-Rao Bounds for Scatter and Shape Matrices Estimation in CES Distributions. - Arnaud Breloy; Guillaume Ginolhac; Alexandre Renaux; Florent Bouchard (IEEE Signal Process. Lett., 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 (IEEE Signal Process. Lett., 2019)

On the Asymptotics of Maronna's Robust PCA. - Gordana Draskovic; Arnaud Breloy; Frédéric Pascal 001 (IEEE Trans. Signal Process., 2019)

A Riemannian approach to blind separation of t-distributed sources. - Florent Bouchard; Arnaud Breloy; Guillaume Ginolhac; Alexandre Renaux (EUSIPCO, 2020)

Efficient Estimation of Kronecker Product of Linear Structured Scatter Matrices under t-distribution. - Bruno Mériaux; Chengfang Ren; Arnaud Breloy; Mohammed Nabil El Korso; Philippe Forster (EUSIPCO, 2020)

Riemannian Framework for Robust Covariance Matrix Estimation in Spiked Models. - Florent Bouchard; Arnaud Breloy; Guillaume Ginolhac; Frédéric Pascal 001 (ICASSP, 2020)

Riemannian Geometry and Cramér-rao Bound for Blind Separation of Gaussian Sources. - Florent Bouchard; Arnaud Breloy; Alexandre Renaux; Guillaume Ginolhac (ICASSP, 2020)

Two-Dimensional Robust Source Localization Under Non-Gaussian Noise. - Abdallah Bouiba; Mohammed Nabil El Korso; Arnaud Breloy; Philippe Forster; M. Hamadouche; Mohand Lagha (Circuits Syst. Signal Process., 2020)

Bayesian signal subspace estimation with compound Gaussian sources. - Rayen Ben Abdallah; Arnaud Breloy; Mohammed Nabil El Korso; David Lautru (Signal Process., 2020)

On the performance of robust plug-in detectors using M-estimators. - Gordana Draskovic; Arnaud Breloy; Frédéric Pascal 001 (Signal Process., 2020)

Robust Low-Rank Change Detection for Multivariate SAR Image Time Series. - Ammar Mian; Antoine Collas; Arnaud Breloy; Guillaume Ginolhac; Jean Philippe Ovarlez (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

On-line Kronecker Product Structured Covariance Estimation with Riemannian geometry for t-distributed data. - Florent Bouchard; Arnaud Breloy; Ammar Mian; Guillaume Ginolhac (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 (EUSIPCO, 2021)

A Tyler-Type Estimator of Location and Scatter Leveraging Riemannian Optimization. - Antoine Collas; Florent Bouchard; Arnaud Breloy; Chenfang Ren; Guillaume Ginolhac; Jean Philippe Ovarlez (ICASSP, 2021)

MIMO filters based on robust rank-constrained Kronecker covariance matrix estimation. - Arnaud Breloy; Guillaume Ginolhac; Yongchan Gao; Frédéric Pascal 001 (Signal Process., 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 (Signal Process., 2021)

A Riemannian Framework for Low-Rank Structured Elliptical Models. - Florent Bouchard; Arnaud Breloy; Guillaume Ginolhac; Alexandre Renaux; Frédéric Pascal 001 (IEEE Trans. Signal Process., 2021)

Majorization-Minimization on the Stiefel Manifold With Application to Robust Sparse PCA. - Arnaud Breloy; Sandeep Kumar 005; Ying Sun 003; Daniel P. Palomar (IEEE Trans. Signal Process., 2021)

Probabilistic PCA From Heteroscedastic Signals: Geometric Framework and Application to Clustering. - Antoine Collas; Florent Bouchard; Arnaud Breloy; Guillaume Ginolhac; Chengfang Ren; Jean Philippe Ovarlez (IEEE Trans. Signal Process., 2021)

Matched and Mismatched Estimation of Kronecker Product of Linearly Structured Scatter Matrices Under Elliptical Distributions. - Bruno Mériaux; Chengfang Ren; Arnaud Breloy; Mohammed Nabil El Korso; Philippe Forster (IEEE Trans. Signal Process., 2021)

Robust PCA for Through-the-Wall Radar Imaging. - Hugo Brehier; Arnaud Breloy; Chengfang Ren; Israel Hinostroza 001; Guillaume Ginolhac (EUSIPCO, 2022)

Robust Geometric Metric Learning. - Antoine Collas; Arnaud Breloy; Guillaume Ginolhac; Chengfang Ren; Jean Philippe Ovarlez (EUSIPCO, 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 (ICASSP, 2022)

A New Phase Linking Algorithm for Multi-temporal InSAR based on the Maximum Likelihood Estimator. - Phan Viet Hoa Vu; Frédéric Brigui; Arnaud Breloy; Yajing Yan; Guillaume Ginolhac (IGARSS, 2022)

A Robust EM Algorithm for Radio Interferometric Imaging in The Presence of Outliers. - Yassine Mhiri; Mohammed Nabil El Korso; Arnaud Breloy; Pascal Larzabal (SiPS, 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 (Signal Process., 2022)

Multifrequency array calibration in presence of radio frequency interferences. - Yassine Mhiri; Mohammed Nabil El Korso; Arnaud Breloy; Pascal Larzabal (Signal Process., 2022)

Regularized Tapered Sample Covariance Matrix. - Esa Ollila; Arnaud Breloy (IEEE Trans. Signal Process., 2022)

Robust and Globally Sparse Pca via Majorization-Minimization and Variable Splitting. - Hugo Brehier; Arnaud Breloy; Mohammed Nabil El Korso; Sandeep Kumar 005 (ICASSP, 2023)

Covariance fitting based InSAR Phase Linking. - Phan Viet Hoa Vu; Arnaud Breloy; Frédéric Brigui; Yajing Yan; Guillaume Ginolhac (IGARSS, 2023)

Entropic Wasserstein Component Analysis. - Antoine Collas; Titouan Vayer; Rémi Flamary; Arnaud Breloy (MLSP, 2023)

Learning Graphical Factor Models with Riemannian Optimization. - Alexandre Hippert-Ferrer; Florent Bouchard; Ammar Mian; Titouan Vayer; Arnaud Breloy (ECML/PKDD (4), 2023)

The Fisher-Rao geometry of CES distributions. - Florent Bouchard; Arnaud Breloy; Antoine Collas; Alexandre Renaux; Guillaume Ginolhac (CoRR, 2023)

Natural Bayesian Cramér-Rao Bound with an Application to Covariance Estimation. - Florent Bouchard; Alexandre Renaux; Guillaume Ginolhac; Arnaud Breloy (CoRR, 2023)

Robust Phase Linking in InSAR. - Phan Viet Hoa Vu; Arnaud Breloy; Frédéric Brigui; Yajing Yan; Guillaume Ginolhac (IEEE Trans. Geosci. Remote. Sens., 2023)

Riemannian Optimization for Non-Centered Mixture of Scaled Gaussian Distributions. - Antoine Collas; Arnaud Breloy; Chengfang Ren; Guillaume Ginolhac; Jean Philippe Ovarlez (IEEE Trans. Signal Process., 2023)

Deep Unrolling of Robust PCA and Convolutional Sparse Coding for Stationary Target Localization in Through Wall Radar Imaging. - Hugo Brehier; Arnaud Breloy; Chengfang Ren; Guillaume Ginolhac (EUSIPCO, 2024)

Leveraging Standardization in Graph Learning. - Thu Ha Phi; Alexandre Hippert-Ferrer; Florent Bouchard; Arnaud Breloy (EUSIPCO, 2024)

Through-The-Wall Radar Imaging With Wall Clutter Removal Via Riemannian Optimization On The Fixed-Rank Manifold. - Hugo Brehier; Arnaud Breloy; Chengfang Ren; Guillaume Ginolhac (ICASSP, 2024)

Sparse PCA with False Discovery Rate Controlled Variable Selection. - Jasin Machkour; Arnaud Breloy; Michael Muma; Daniel P. Palomar; Frédéric Pascal 001 (ICASSP, 2024)

Robust Low-Rank Correlation Fitting. - Thu Ha Phi; Alexandre Hippert-Ferrer; Florent Bouchard; Arnaud Breloy (ICASSP, 2024)

Regularized maximum likelihood estimation for radio interferometric imaging in the presence of radiofrequency interferences. - Yassine Mhiri; Mohammed Nabil El Korso; Arnaud Breloy; Pascal Larzabal (Signal Process., 2024)

Online change detection in SAR time-series with Kronecker product structured scaled Gaussian models. - Ammar Mian; Guillaume Ginolhac; Florent Bouchard; Arnaud Breloy (Signal Process., 2024)

Through the Wall Radar Imaging via Kronecker-structured Huber-type RPCA. - Hugo Brehier; Arnaud Breloy; Chengfang Ren; Guillaume Ginolhac (Signal Process., 2024)

Intrinsic Bayesian Cramér-Rao Bound With an Application to Covariance Matrix Estimation. - Florent Bouchard; Alexandre Renaux; Guillaume Ginolhac; Arnaud Breloy (IEEE Trans. Inf. Theory, 2024)

Covariance Fitting Interferometric Phase Linking: Modular Framework and Optimization Algorithms. - Phan Viet Hoa Vu; Arnaud Breloy; Frédéric Brigui; Yajing Yan; Guillaume Ginolhac (IEEE Trans. Geosci. Remote. Sens., 2025)

Leveraging Low-rank Factorizations of Conditional Correlation Matrices in Graph Learning. - Thu Ha Phi; Alexandre Hippert-Ferrer; Florent Bouchard; Arnaud Breloy (CoRR, 2025)