Luc Le Magoarou

71 papers B 1C 1Misc 8Journal 45Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Near-Field Localization via AI-Aided Subspace Methods. IEEE Trans. Commun. Arad Gast, Luc Le Magoarou, Nir Shlezinger
2026	J	`jnl`	Physically constrained unfolded multi-dimensional OMP for large MIMO systems. CoRR Nay Klaimi, Clément Elvira, Philippe Mary, Luc Le Magoarou
2026	J	`jnl`	Statistical Multiport-Network Modeling and Efficient Discrete Optimization of RIS. IEEE Wirel. Commun. Lett. Cheima Hammami, Luc Le Magoarou, Philipp del Hougne
2025	J	`jnl`	Benefits of Mutual Coupling in Dynamic Metasurface Antennas for Optimizing Wireless Communications - Theory and Experimental Validation. CoRR Hugo Prod'homme, Jean Tapie, Luc Le Magoarou, Philipp del Hougne
2025	J	`jnl`	CSI Compression using Channel Charting. CoRR Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Luc Le Magoarou
2025	—	`conf`	Channel Charting for Efficient Precoding in Cell-Free Massive MIMO. IEEECONF Hussein Abbass, Luc Le Magoarou, Joumana Farah, Matthieu Crussière
2025	Misc	`conf`	DCD-MUSIC: Deep-Learning-Aided Cascaded Differentiable MUSIC Algorithm for Near-Field Localization of Multiple Sources. ICASSP Arad Gast, Luc Le Magoarou, Nir Shlezinger
2025	—	`conf`	Energy-Efficient Secure Cell-Free Massive MIMO Precoding with Power Constraints Per Access Point for Next Generations of Communications. 6GNet Steve Sawadogo, Vincent Savaux, Luc Le Magoarou, Matthieu Crussière, Patrick Savelli
2025	J	`jnl`	Model-Based End-to-End Learning for Multi-Target Integrated Sensing and Communication Under Hardware Impairments. IEEE Trans. Wirel. Commun. José Miguel Mateos-Ramos, Christian Häger, Musa Furkan Keskin, Luc Le Magoarou, Henk Wymeersch
2025	—	`conf`	Model-Based Learning for Joint Channel Estimation and Hybrid MIMO Precoding. SPAWC Nay Klaimi, Amira Bedoui, Clément Elvira, Philippe Mary, Luc Le Magoarou
2025	J	`jnl`	Model-Based Learning for Multi-Antenna Multi-Frequency Location-to-Channel Mapping. IEEE J. Sel. Top. Signal Process. Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Luc Le Magoarou
2025	J	`jnl`	Model-based Neural Data Augmentation for sub-wavelength Radio Localization. CoRR Baptiste Chatelier, Vincent Corlay, Musa Furkan Keskin, Matthieu Crussière, Henk Wymeersch, Luc Le Magoarou
2025	J	`jnl`	Model-based learning for joint channel estimationand hybrid MIMO precoding. CoRR Nay Klaimi, Amira Bedoui, Clément Elvira, Philippe Mary, Luc Le Magoarou
2025	J	`jnl`	Near Field Localization via AI-Aided Subspace Methods. CoRR Arad Gast, Luc Le Magoarou, Nir Shlezinger
2025	—	`conf`	Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays. ICC Baptiste Chatelier, José Miguel Mateos-Ramos, Vincent Corlay, Christian Häger, Matthieu Crussière, Henk Wymeersch, Luc Le Magoarou
2025	Misc	`conf`	Unsupervised Learning for Gain-Phase Impairment Calibration in ISAC Systems. ICASSP José Miguel Mateos-Ramos, Christian Häger, Musa Furkan Keskin, Luc Le Magoarou, Henk Wymeersch
2024	—	`conf`	CSI Compression Using Channel Charting. IEEECONF Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Luc Le Magoarou
2024	J	`jnl`	Efficient Frequency Selective Surface Analysis via End-to-End Model-Based Learning. CoRR Cheima Hammami, Lucas Polo-López, Luc Le Magoarou
2024	Misc	`conf`	Model-Based Learning for Location-to-Channel Mapping. ICASSP Baptiste Chatelier, Luc Le Magoarou, Vincent Corlay, Matthieu Criissière
2024	J	`jnl`	Model-based learning for multi-antenna multi-frequency location-to-channel mapping. CoRR Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Luc Le Magoarou
2024	J	`jnl`	On the Tacit Linearity Assumption in Common Cascaded Models of RIS-Parametrized Wireless Channels. IEEE Trans. Wirel. Commun. Antonin Rabault, Luc Le Magoarou, Jérôme Sol, George C. Alexandropoulos, Nir Shlezinger, H. Vincent Poor, Philipp del Hougne
2024	J	`jnl`	Optimizing Multicarrier Multiantenna Systems for LoS Channel Charting. IEEE Trans. Wirel. Commun. Taha Yassine, Luc Le Magoarou, Matthieu Crussière, Stéphane Paquelet
2024	J	`jnl`	Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays. CoRR Baptiste Chatelier, José Miguel Mateos-Ramos, Vincent Corlay, Christian Häger, Matthieu Crussière, Henk Wymeersch, Luc Le Magoarou
2023	—	`conf`	Efficient Deep Unfolding for SISO-OFDM Channel Estimation. ICC Baptiste Chatelier, Luc Le Magoarou, Getachew Redieteab
2023	Misc	`conf`	Model-Based Deep Learning for Beam Prediction Based on a Channel Chart. ACSSC Taha Yassine, Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Stéphane Paquelet, Olav Tirkkonen, Luc Le Magoarou
2023	—	`conf`	Model-Driven End-to-End Learning for Integrated Sensing and Communication. ICC José Miguel Mateos-Ramos, Christian Häger, Musa Furkan Keskin, Luc Le Magoarou, Henk Wymeersch
2023	J	`jnl`	Model-based Deep Learning for Beam Prediction based on a Channel Chart. CoRR Taha Yassine, Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Stéphane Paquelet, Olav Tirkkonen, Luc Le Magoarou
2023	J	`jnl`	Model-based Deep Learning for High-Dimensional Periodic Structures. CoRR Lucas Polo-López, Luc Le Magoarou, Romain Contreres, María García-Vigueras
2023	J	`jnl`	Model-based learning for location-to-channel mapping. CoRR Baptiste Chatelier, Luc Le Magoarou, Vincent Corlay, Matthieu Crussière
2023	J	`jnl`	On the Tacit Linearity Assumption in Common Cascaded Models of RIS-Parametrized Wireless Channels. CoRR Antonin Rabault, Luc Le Magoarou, Jérôme Sol, George C. Alexandropoulos, Nir Shlezinger, H. Vincent Poor, Philipp del Hougne
2023	J	`jnl`	Optimizing Multicarrier Multiantenna Systems for LoS Channel Charting. CoRR Taha Yassine, Luc Le Magoarou, Matthieu Crussière, Stéphane Paquelet
2022	—	`conf`	Channel charting based beamforming. IEEECONF Luc Le Magoarou, Taha Yassine, Stéphane Paquelet, Matthieu Crussière
2022	J	`jnl`	Channel charting based beamforming. CoRR Luc Le Magoarou, Taha Yassine, Stéphane Paquelet, Matthieu Crussière
2022	Misc	`conf`	Deep Learning for Location Based Beamforming with Nlos Channels. ICASSP Luc Le Magoarou, Taha Yassine, Stéphane Paquelet, Matthieu Crussière
2022	J	`jnl`	Deep learning for location based beamforming with NLOS channels. CoRR Luc Le Magoarou, Taha Yassine, Stéphane Paquelet, Matthieu Crussière
2022	J	`jnl`	Efficient Deep Unfolding for SISO-OFDM Channel Estimation. CoRR Baptiste Chatelier, Luc Le Magoarou, Getachew Redieteab
2022	—	`conf`	Leveraging triplet loss and nonlinear dimensionality reduction for on-the-fly channel charting. SPAWC Taha Yassine, Luc Le Magoarou, Stéphane Paquelet, Matthieu Crussière
2022	J	`jnl`	Leveraging triplet loss and nonlinear dimensionality reduction for on-the-fly channel charting. CoRR Taha Yassine, Luc Le Magoarou, Stéphane Paquelet, Matthieu Crussière
2022	—	`conf`	Pervasive Artificial Intelligence in Next Generation Wireless: The Hexa-X Project Perspective. AI6G@WCCI Miltiadis C. Filippou, Vasiliki Lamprousi, Jafar Mohammadi, Mattia Merluzzi, Elif Ustundag Soykan, Tamás Borsos, Nandana Rajatheva, Nuwanthika Rajapaksha, Luc Le Magoarou, Pietro Piscione, András Benczúr, Quentin Lampin, Guillaume Larue, Dani Korpi, Pietro Ducange, Alessandro Renda, Hamed Farhadi, Johan Haraldson, Leonardo Gomes Baltar, Emilio Calvanese Strinati, Panagiotis Demestichas, Emrah Tomur
2022	J	`jnl`	mpNet: Variable Depth Unfolded Neural Network for Massive MIMO Channel Estimation. IEEE Trans. Wirel. Commun. Taha Yassine, Luc Le Magoarou
2021	J	`jnl`	Efficient Channel Charting via Phase-Insensitive Distance Computation. IEEE Wirel. Commun. Lett. Luc Le Magoarou
2021	J	`jnl`	Efficient channel charting via phase-insensitive distance computation. CoRR Luc Le Magoarou
2021	J	`jnl`	Similarity-Based Prediction for Channel Mapping and User Positioning. IEEE Commun. Lett. Luc Le Magoarou
2021	J	`jnl`	Similarity-based prediction for channel mapping and user positioning. CoRR Luc Le Magoarou
2020	J	`jnl`	Channel Estimation: Unified View of Optimal Performance and Pilot Sequences. IEEE Trans. Signal Process. Luc Le Magoarou, Stéphane Paquelet
2020	C	`conf`	On the Computation of Integrals of Bivariate Gaussian Distribution. ISCC Vincent Savaux, Luc Le Magoarou
2020	J	`jnl`	mpNet: variable depth unfolded neural network for massive MIMO channel estimation. CoRR Taha Yassine, Luc Le Magoarou
2019	J	`jnl`	Exploiting the Massive MIMO Channel Structural Properties for Minimization of Channel Estimation Error and Training Overhead. IEEE Access Samer Bazzi, Stelios Stefanatos, Luc Le Magoarou, Salah Eddine Hajri, Mohamad Assaad, Stéphane Paquelet, Gerhard Wunder, Wen Xu
2019	—	`conf`	Massive MIMO Channel Estimation taking into account spherical waves. SPAWC Luc Le Magoarou, Antoine Le Calvez, Stéphane Paquelet
2019	J	`jnl`	Performance of MIMO channel estimation with a physical model. CoRR Luc Le Magoarou, Stéphane Paquelet
2018	J	`jnl`	Approximate Fast Graph Fourier Transforms via Multilayer Sparse Approximations. IEEE Trans. Signal Inf. Process. over Networks Luc Le Magoarou, Rémi Gribonval, Nicolas Tremblay
2018	J	`jnl`	Bias-variance tradeoff in MIMO channel estimation. CoRR Luc Le Magoarou, Stéphane Paquelet
2018	B	`conf`	MIMO Channel Hardening for Ray-based Models. WiMob Matthieu Roy, Stéphane Paquelet, Luc Le Magoarou, Matthieu Crussière
2018	J	`jnl`	MIMO Channel Hardening: A Physical Model based Analysis. CoRR Matthieu Roy, Stéphane Paquelet, Luc Le Magoarou, Matthieu Crussière
2018	J	`jnl`	Massive MIMO channel estimation taking into account spherical waves. CoRR Antoine Le Calvez, Luc Le Magoarou, Stéphane Paquelet
2018	—	`conf`	Parametric Channel Estimation for Massive MIMO. SSP Luc Le Magoarou, Stéphane Paquelet
2017	J	`jnl`	Analyzing the Approximation Error of the Fast Graph Fourier Transform. CoRR Luc Le Magoarou, Nicolas Tremblay, Rémi Gribonval
2017	Misc	`conf`	Analyzing the approximation error of the fast graph Fourier transform. ACSSC Luc Le Magoarou, Nicolas Tremblay, Rémi Gribonval
2017	J	`jnl`	Parametric channel estimation for massive MIMO. CoRR Luc Le Magoarou, Stéphane Paquelet
2016	J	`jnl`	Approximate Fast Fourier Transforms on graphs via multi-layer sparse approximations. CoRR Luc Le Magoarou, Rémi Gribonval, Nicolas Tremblay
2016	Misc	`conf`	Are there approximate fast fourier transforms on graphs? ICASSP Luc Le Magoarou, Rémi Gribonval
2016	J	`jnl`	Flexible Multilayer Sparse Approximations of Matrices and Applications. IEEE J. Sel. Top. Signal Process. Luc Le Magoarou, Rémi Gribonval
2016	—	`—`	Matrices efficientes pour le traitement du signal et l'apprentissage automatique. (Efficient matrices for signal processing and machine learning). Luc Le Magoarou
2015	Misc	`conf`	Chasing butterflies: In search of efficient dictionaries. ICASSP Luc Le Magoarou, Rémi Gribonval
2015	—	`conf`	FAμST: Speeding up linear transforms for tractable inverse problems. EUSIPCO Luc Le Magoarou, Rémi Gribonval, Alexandre Gramfort
2015	J	`jnl`	Flexible Multi-layer Sparse Approximations of Matrices and Applications. CoRR Luc Le Magoarou, Rémi Gribonval
2015	J	`jnl`	Text-Informed Audio Source Separation. Example-Based Approach Using Non-Negative Matrix Partial Co-Factorization. J. Signal Process. Syst. Luc Le Magoarou, Alexey Ozerov, Ngoc Q. K. Duong
2014	J	`jnl`	Learning computationally efficient dictionaries and their implementation as fast transforms. CoRR Luc Le Magoarou, Rémi Gribonval
2014	J	`jnl`	Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR Laurent Jacques, Christophe De Vleeschouwer, Yannick Boursier, Prasad Sudhakar, C. De Mol, Aleksandra Pizurica, Sandrine Anthoine, Pierre Vandergheynst, Pascal Frossard, Cagdas Bilen, Srdan Kitic, Nancy Bertin, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic
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
2013	—	`conf`	Text-informed audio source separation using nonnegative matrix partial co-factorization. MLSP Luc Le Magoarou, Alexey Ozerov, Ngoc Q. K. Duong