Arnaud Breloy - RankMe

81 papers C 3Misc 13Journal 39Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Including Node Textual Metadata in Laplacian-constrained Gaussian Graphical Models. CoRR Jianhua Wang, Killian Cressant, Pedro Braconnot Velloso, Arnaud Breloy
2026	J	`jnl`	Leveraging Low-Rank Factorizations of Conditional Correlation Matrices in Graph Learning. IEEE Trans. Signal Process. Thu Ha Phi, Alexandre Hippert-Ferrer, Florent Bouchard, Arnaud Breloy
2025	J	`jnl`	Covariance Fitting Interferometric Phase Linking: Modular Framework and Optimization Algorithms. IEEE Trans. Geosci. Remote. Sens. Phan Viet Hoa Vu, Arnaud Breloy, Frédéric Brigui, Yajing Yan, Guillaume Ginolhac
2025	—	`conf`	Interferometric Phase Linking with Riemannian Distances on Covariance Matrices. EUSIPCO Elena Grosso, Florent Bouchard, Frédéric Brigui, Guillaume Ginolhac, Arnaud Breloy
2025	J	`jnl`	Leveraging Low-rank Factorizations of Conditional Correlation Matrices in Graph Learning. CoRR Thu Ha Phi, Alexandre Hippert-Ferrer, Florent Bouchard, Arnaud Breloy
2025	—	`conf`	Riemannian Change Point Detection on Manifolds with Robust Centroid Estimation. EUSIPCO Xiuheng Wang, Ricardo Augusto Borsoi, Arnaud Breloy, Cédric Richard
2025	J	`jnl`	Riemannian Change Point Detection on Manifolds with Robust Centroid Estimation. CoRR Xiuheng Wang, Ricardo Augusto Borsoi, Arnaud Breloy, Cédric Richard
2025	—	`conf`	Sliding IPL: An Efficient Approach for Estimating the Phases of Large SAR Image Time Series. EUSIPCO Dana El Hajjar, Arnaud Breloy, Guillaume Ginolhac, Mohammed Nabil El Korso, Yajing Yan
2024	—	`conf`	Deep Unrolling of Robust PCA and Convolutional Sparse Coding for Stationary Target Localization in Through Wall Radar Imaging. EUSIPCO Hugo Brehier, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac
2024	J	`jnl`	Intrinsic Bayesian Cramér-Rao Bound With an Application to Covariance Matrix Estimation. IEEE Trans. Inf. Theory Florent Bouchard, Alexandre Renaux, Guillaume Ginolhac, Arnaud Breloy
2024	—	`conf`	Leveraging Standardization in Graph Learning. EUSIPCO Thu Ha Phi, Alexandre Hippert-Ferrer, Florent Bouchard, Arnaud Breloy
2024	J	`jnl`	Online change detection in SAR time-series with Kronecker product structured scaled Gaussian models. Signal Process. Ammar Mian, Guillaume Ginolhac, Florent Bouchard, Arnaud Breloy
2024	J	`jnl`	Regularized maximum likelihood estimation for radio interferometric imaging in the presence of radiofrequency interferences. Signal Process. Yassine Mhiri, Mohammed Nabil El Korso, Arnaud Breloy, Pascal Larzabal
2024	Misc	`conf`	Robust Low-Rank Correlation Fitting. ICASSP Thu Ha Phi, Alexandre Hippert-Ferrer, Florent Bouchard, Arnaud Breloy
2024	Misc	`conf`	Sparse PCA with False Discovery Rate Controlled Variable Selection. ICASSP Jasin Machkour, Arnaud Breloy, Michael Muma, Daniel P. Palomar, Frédéric Pascal
2024	J	`jnl`	Sparse PCA with False Discovery Rate Controlled Variable Selection. CoRR Jasin Machkour, Arnaud Breloy, Michael Muma, Daniel P. Palomar, Frédéric Pascal
2024	J	`jnl`	Through the Wall Radar Imaging via Kronecker-structured Huber-type RPCA. Signal Process. Hugo Brehier, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac
2024	Misc	`conf`	Through-The-Wall Radar Imaging With Wall Clutter Removal Via Riemannian Optimization On The Fixed-Rank Manifold. ICASSP Hugo Brehier, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac
2023	C	`conf`	Covariance fitting based InSAR Phase Linking. IGARSS Phan Viet Hoa Vu, Arnaud Breloy, Frédéric Brigui, Yajing Yan, Guillaume Ginolhac
2023	—	`conf`	Entropic Wasserstein Component Analysis. MLSP Antoine Collas, Titouan Vayer, Rémi Flamary, Arnaud Breloy
2023	J	`jnl`	Entropic Wasserstein Component Analysis. CoRR Antoine Collas, Titouan Vayer, Rémi Flamary, Arnaud Breloy
2023	—	`conf`	Learning Graphical Factor Models with Riemannian Optimization. ECML/PKDD (4) Alexandre Hippert-Ferrer, Florent Bouchard, Ammar Mian, Titouan Vayer, Arnaud Breloy
2023	J	`jnl`	Natural Bayesian Cramér-Rao Bound with an Application to Covariance Estimation. CoRR Florent Bouchard, Alexandre Renaux, Guillaume Ginolhac, Arnaud Breloy
2023	J	`jnl`	Riemannian Optimization for Non-Centered Mixture of Scaled Gaussian Distributions. IEEE Trans. Signal Process. Antoine Collas, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac, Jean Philippe Ovarlez
2023	J	`jnl`	Robust Phase Linking in InSAR. IEEE Trans. Geosci. Remote. Sens. Phan Viet Hoa Vu, Arnaud Breloy, Frédéric Brigui, Yajing Yan, Guillaume Ginolhac
2023	Misc	`conf`	Robust and Globally Sparse Pca via Majorization-Minimization and Variable Splitting. ICASSP Hugo Brehier, Arnaud Breloy, Mohammed Nabil El Korso, Sandeep Kumar
2023	J	`jnl`	The Fisher-Rao geometry of CES distributions. CoRR Florent Bouchard, Arnaud Breloy, Antoine Collas, Alexandre Renaux, Guillaume Ginolhac
2022	C	`conf`	A New Phase Linking Algorithm for Multi-temporal InSAR based on the Maximum Likelihood Estimator. IGARSS Phan Viet Hoa Vu, Frédéric Brigui, Arnaud Breloy, Yajing Yan, Guillaume Ginolhac
2022	—	`conf`	A Robust EM Algorithm for Radio Interferometric Imaging in The Presence of Outliers. SiPS Yassine Mhiri, Mohammed Nabil El Korso, Arnaud Breloy, Pascal Larzabal
2022	J	`jnl`	Learning Graphical Factor Models with Riemannian Optimization. CoRR Alexandre Hippert-Ferrer, Florent Bouchard, Ammar Mian, Titouan Vayer, Arnaud Breloy
2022	J	`jnl`	Multifrequency array calibration in presence of radio frequency interferences. Signal Process. Yassine Mhiri, Mohammed Nabil El Korso, Arnaud Breloy, Pascal Larzabal
2022	Misc	`conf`	On the Use of Geodesic Triangles between Gaussian Distributions for Classification Problems. ICASSP Antoine Collas, Florent Bouchard, Guillaume Ginolhac, Arnaud Breloy, Chengfang Ren, Jean Philippe Ovarlez
2022	J	`jnl`	Regularized Tapered Sample Covariance Matrix. IEEE Trans. Signal Process. Esa Ollila, Arnaud Breloy
2022	J	`jnl`	Riemannian optimization for non-centered mixture of scaled Gaussian distributions. CoRR Antoine Collas, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac, Jean Philippe Ovarlez
2022	—	`conf`	Robust Geometric Metric Learning. EUSIPCO Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean Philippe Ovarlez
2022	J	`jnl`	Robust Geometric Metric Learning. CoRR Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean Philippe Ovarlez
2022	—	`conf`	Robust PCA for Through-the-Wall Radar Imaging. EUSIPCO Hugo Brehier, Arnaud Breloy, Chengfang Ren, Israel Hinostroza, Guillaume Ginolhac
2022	J	`jnl`	Robust low-rank covariance matrix estimation with a general pattern of missing values. Signal Process. Alexandre Hippert-Ferrer, Mohammed Nabil El Korso, Arnaud Breloy, Guillaume Ginolhac
2021	J	`jnl`	A Riemannian Framework for Low-Rank Structured Elliptical Models. IEEE Trans. Signal Process. Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Alexandre Renaux, Frédéric Pascal
2021	Misc	`conf`	A Tyler-Type Estimator of Location and Scatter Leveraging Riemannian Optimization. ICASSP Antoine Collas, Florent Bouchard, Arnaud Breloy, Chenfang Ren, Guillaume Ginolhac, Jean Philippe Ovarlez
2021	—	`conf`	Expectation-Maximization Based Direction of Arrival Estimation Under a Mixture of Noise. EUSIPCO Yassine Mhiri, Mohammed Nabil El Korso, Lucien Bacharach, Arnaud Breloy, Pascal Larzabal
2021	J	`jnl`	MIMO filters based on robust rank-constrained Kronecker covariance matrix estimation. Signal Process. Arnaud Breloy, Guillaume Ginolhac, Yongchan Gao, Frédéric Pascal
2021	J	`jnl`	Majorization-Minimization on the Stiefel Manifold With Application to Robust Sparse PCA. IEEE Trans. Signal Process. Arnaud Breloy, Sandeep Kumar, Ying Sun, Daniel P. Palomar
2021	J	`jnl`	Matched and Mismatched Estimation of Kronecker Product of Linearly Structured Scatter Matrices Under Elliptical Distributions. IEEE Trans. Signal Process. Bruno Mériaux, Chengfang Ren, Arnaud Breloy, Mohammed Nabil El Korso, Philippe Forster
2021	—	`conf`	On-line Kronecker Product Structured Covariance Estimation with Riemannian geometry for t-distributed data. EUSIPCO Florent Bouchard, Arnaud Breloy, Ammar Mian, Guillaume Ginolhac
2021	J	`jnl`	Probabilistic PCA From Heteroscedastic Signals: Geometric Framework and Application to Clustering. IEEE Trans. Signal Process. Antoine Collas, Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean Philippe Ovarlez
2021	J	`jnl`	Robust mean and covariance matrix estimation under heterogeneous mixed-effects model with missing values. Signal Process. Alexandre Hippert-Ferrer, Mohammed Nabil El Korso, Arnaud Breloy, Guillaume Ginolhac
2020	—	`conf`	A Riemannian approach to blind separation of t-distributed sources. EUSIPCO Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Alexandre Renaux
2020	J	`jnl`	Bayesian signal subspace estimation with compound Gaussian sources. Signal Process. Rayen Ben Abdallah, Arnaud Breloy, Mohammed Nabil El Korso, David Lautru
2020	—	`conf`	Efficient Estimation of Kronecker Product of Linear Structured Scatter Matrices under t-distribution. EUSIPCO Bruno Mériaux, Chengfang Ren, Arnaud Breloy, Mohammed Nabil El Korso, Philippe Forster
2020	J	`jnl`	On the performance of robust plug-in detectors using Signal Process. Gordana Draskovic, Arnaud Breloy, Frédéric Pascal
2020	Misc	`conf`	Riemannian Framework for Robust Covariance Matrix Estimation in Spiked Models. ICASSP Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal
2020	Misc	`conf`	Riemannian Geometry and Cramér-rao Bound for Blind Separation of Gaussian Sources. ICASSP Florent Bouchard, Arnaud Breloy, Alexandre Renaux, Guillaume Ginolhac
2020	J	`jnl`	Robust Low-Rank Change Detection for Multivariate SAR Image Time Series. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Ammar Mian, Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Jean Philippe Ovarlez
2020	J	`jnl`	Two-Dimensional Robust Source Localization Under Non-Gaussian Noise. Circuits Syst. Signal Process. Abdallah Bouiba, Mohammed Nabil El Korso, Arnaud Breloy, Philippe Forster, M. Hamadouche, Mohand Lagha
2019	J	`jnl`	Asymptotic Performance of Complex $M$-Estimators for Multivariate Location and Scatter Estimation. IEEE Signal Process. Lett. Bruno Meriaux, Chengfang Ren, Mohammed Nabil El Korso, Arnaud Breloy, Philippe Forster
2019	—	`conf`	Bayesian Robust Signal Subspace Estimation in Non-Gaussian Environment. EUSIPCO Rayen Ben Abdallah, Arnaud Breloy, Mohammed Nabil El Korso, David Lautru
2019	J	`jnl`	Detection Methods Based on Structured Covariance Matrices for Multivariate SAR Images Processing. IEEE Geosci. Remote. Sens. Lett. Rayen Ben Abdallah, Ammar Mian, Arnaud Breloy, Abigaël Taylor, Mohammed Nabil El Korso, David Lautru
2019	J	`jnl`	Intrinsic Cramér-Rao Bounds for Scatter and Shape Matrices Estimation in CES Distributions. IEEE Signal Process. Lett. Arnaud Breloy, Guillaume Ginolhac, Alexandre Renaux, Florent Bouchard
2019	—	`conf`	Modified Sparse Subspace Clustering for Radar Detection in Non-stationary Clutter. CAMSAP Bruno Mériaux, Arnaud Breloy, Chengfang Ren, Mohammed Nabil El Korso, Philippe Forster
2019	J	`jnl`	On the Asymptotics of Maronna's Robust PCA. IEEE Trans. Signal Process. Gordana Draskovic, Arnaud Breloy, Frédéric Pascal
2019	—	`conf`	On the Recursions of Robust COMET Algorithm for Convexly Structured Shape Matrix. EUSIPCO Bruno Mériaux, Chengfang Ren, Arnaud Breloy, Mohammed Nabil El Korso, Philippe Forster, Jean Philippe Ovarlez
2019	C	`conf`	Robust Low-Rank Change Detection for Sar Image Time Series. IGARSS Ammar Mian, Arnaud Breloy, Guillaume Ginolhac, Jean Philippe Ovarlez
2019	J	`jnl`	Robust estimation of structured scatter matrices in (mis)matched models. Signal Process. Bruno Meriaux, Chengfang Ren, Mohammed Nabil El Korso, Arnaud Breloy, Philippe Forster
2019	—	`conf`	Signal subspace change detection in structured covariance matrices. EUSIPCO Rayen Ben Abdallah, Arnaud Breloy, Abigaël Taylor, Mohammed Nabil El Korso, David Lautru
2019	—	`conf`	Spectral Shrinkage of Tyler's $M$-Estimator of Covariance Matrix. CAMSAP Arnaud Breloy, Esa Ollila, Frédéric Pascal
2018	Misc	`conf`	Efficient Estimation of Scatter Matrix with Convex Structure Under $T$ -Distribution. ICASSP Bruno Meriaux, Chengfang Ren, Mohammed Nabil El Korso, Arnaud Breloy, Philippe Forster
2018	—	`conf`	Robust Subspace Clustering for Radar Detection. EUSIPCO Arnaud Breloy, Mohammed Nabil El Korso, Ashkan Panahi, Hamid Krim
2017	Misc	`conf`	A subspace approach for shrinkage parameter selection in undersampled configuration for Regularised Tyler Estimators. ICASSP Q. Hoarau, Arnaud Breloy, Guillaume Ginolhac, Abdourrahmane M. Atto, Jean-Marie Nicolas
2017	Misc	`conf`	New asymptotic properties for the robust ANMF. ICASSP Gordana Draskovic, Frédéric Pascal, Arnaud Breloy, Jean-Yves Tourneret
2017	—	`conf`	Robust-COMET for covariance estimation in convex structures: Algorithm and statistical properties. CAMSAP Bruno Meriaux, Chengfang Ren, Mohammed Nabil El Korso, Arnaud Breloy, Philippe Forster
2016	—	`conf`	A robust signal subspace estimator. SSP Arnaud Breloy, Ying Sun, Prabhu Babu, Guillaume Ginolhac, Daniel Pérez Palomar, Frédéric Pascal
2016	—	`conf`	Block majorization-minimization algorithms for low-rank clutter subspace estimation. EUSIPCO Arnaud Breloy, Ying Sun, Prabhu Babu, Daniel Pérez Palomar
2016	J	`jnl`	Low-Complexity Algorithms for Low Rank Clutter Parameters Estimation in Radar Systems. IEEE Trans. Signal Process. Ying Sun, Arnaud Breloy, Prabhu Babu, Daniel P. Palomar, Frédéric Pascal, Guillaume Ginolhac
2016	J	`jnl`	Robust Covariance Matrix Estimation in Heterogeneous Low Rank Context. IEEE Trans. Signal Process. Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
2016	Misc	`conf`	Robust rank constrained kronecker covariance matrix estimation. ACSSC Arnaud Breloy, Ying Sun, Prabhu Babu, Guillaume Ginolhac, Daniel Pérez Palomar
2015	—	`conf`	Asymptotic detection performance analysis of the robust Adaptive Normalized Matched Filter. CAMSAP Jean Philippe Ovarlez, Frédéric Pascal, Arnaud Breloy
2015	J	`jnl`	Clutter Subspace Estimation in Low Rank Heterogeneous Noise Context. IEEE Trans. Signal Process. Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
2014	—	`conf`	CFAR property and robustness of the lowrank adaptive normalized matched filters detectors in low rank compound gaussian context. SAM Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
2014	Misc	`conf`	Robust estimation of the clutter subspace for a Low Rank heterogeneous noise under high Clutter to Noise Ratio assumption. ICASSP Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
2013	—	`conf`	Maximum likelihood estimation of clutter subspace in non homogeneous noise context. EUSIPCO Arnaud Breloy, Luc Le Magoarou, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster