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)

Text-informed audio source separation using nonnegative matrix partial co-factorization. - Luc Le Magoarou; Alexey Ozerov; Ngoc Q. K. Duong (MLSP, 2013)

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). - 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; et al. (CoRR, 2014)

Learning computationally efficient dictionaries and their implementation as fast transforms. - Luc Le Magoarou; Rémi Gribonval (CoRR, 2014)

FAμST: Speeding up linear transforms for tractable inverse problems. - Luc Le Magoarou; Rémi Gribonval; Alexandre Gramfort (EUSIPCO, 2015)

Chasing butterflies: In search of efficient dictionaries. - Luc Le Magoarou; Rémi Gribonval (ICASSP, 2015)

Flexible Multi-layer Sparse Approximations of Matrices and Applications. - Luc Le Magoarou; Rémi Gribonval (CoRR, 2015)

Text-Informed Audio Source Separation. Example-Based Approach Using Non-Negative Matrix Partial Co-Factorization. - Luc Le Magoarou; Alexey Ozerov; Ngoc Q. K. Duong (J. Signal Process. Syst., 2015)

Are there approximate fast fourier transforms on graphs? - Luc Le Magoarou; Rémi Gribonval (ICASSP, 2016)

Approximate Fast Fourier Transforms on graphs via multi-layer sparse approximations. - Luc Le Magoarou; Rémi Gribonval; Nicolas Tremblay (CoRR, 2016)

Flexible Multilayer Sparse Approximations of Matrices and Applications. - Luc Le Magoarou; Rémi Gribonval (IEEE J. Sel. Top. Signal Process., 2016)

Matrices efficientes pour le traitement du signal et l'apprentissage automatique. (Efficient matrices for signal processing and machine learning). - Luc Le Magoarou (2016)

Analyzing the approximation error of the fast graph Fourier transform. - Luc Le Magoarou; Nicolas Tremblay; Rémi Gribonval (ACSSC, 2017)

Parametric Channel Estimation for Massive MIMO. - Luc Le Magoarou; Stéphane Paquelet (SSP, 2018)

MIMO Channel Hardening for Ray-based Models. - Matthieu Roy; Stéphane Paquelet; Luc Le Magoarou; Matthieu Crussière (WiMob, 2018)

MIMO Channel Hardening: A Physical Model based Analysis. - Matthieu Roy; Stéphane Paquelet; Luc Le Magoarou; Matthieu Crussière (CoRR, 2018)

Bias-variance tradeoff in MIMO channel estimation. - Luc Le Magoarou; Stéphane Paquelet (CoRR, 2018)

Approximate Fast Graph Fourier Transforms via Multilayer Sparse Approximations. - Luc Le Magoarou; Rémi Gribonval; Nicolas Tremblay (IEEE Trans. Signal Inf. Process. over Networks, 2018)

Massive MIMO Channel Estimation taking into account spherical waves. - Luc Le Magoarou; Antoine Le Calvez; Stéphane Paquelet (SPAWC, 2019)

Exploiting the Massive MIMO Channel Structural Properties for Minimization of Channel Estimation Error and Training Overhead. - Samer Bazzi; Stelios Stefanatos; Luc Le Magoarou; Salah Eddine Hajri; Mohamad Assaad; Stéphane Paquelet; Gerhard Wunder; Wen Xu 001 (IEEE Access, 2019)

Performance of MIMO channel estimation with a physical model. - Luc Le Magoarou; Stéphane Paquelet (CoRR, 2019)

On the Computation of Integrals of Bivariate Gaussian Distribution. - Vincent Savaux; Luc Le Magoarou (ISCC, 2020)

Channel Estimation: Unified View of Optimal Performance and Pilot Sequences. - Luc Le Magoarou; Stéphane Paquelet (IEEE Trans. Signal Process., 2020)

Similarity-Based Prediction for Channel Mapping and User Positioning. - Luc Le Magoarou (IEEE Commun. Lett., 2021)

Efficient Channel Charting via Phase-Insensitive Distance Computation. - Luc Le Magoarou (IEEE Wirel. Commun. Lett., 2021)

Channel charting based beamforming. - Luc Le Magoarou; Taha Yassine; Stéphane Paquelet; Matthieu Crussière (IEEECONF, 2022)

Deep Learning for Location Based Beamforming with Nlos Channels. - Luc Le Magoarou; Taha Yassine; Stéphane Paquelet; Matthieu Crussière (ICASSP, 2022)

Leveraging triplet loss and nonlinear dimensionality reduction for on-the-fly channel charting. - Taha Yassine; Luc Le Magoarou; Stéphane Paquelet; Matthieu Crussière (SPAWC, 2022)

Pervasive Artificial Intelligence in Next Generation Wireless: The Hexa-X Project Perspective. - 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; et al. (AI6G@WCCI, 2022)

mpNet: Variable Depth Unfolded Neural Network for Massive MIMO Channel Estimation. - Taha Yassine; Luc Le Magoarou (IEEE Trans. Wirel. Commun., 2022)

Model-Based Deep Learning for Beam Prediction Based on a Channel Chart. - Taha Yassine; Baptiste Chatelier; Vincent Corlay; Matthieu Crussière; Stéphane Paquelet; Olav Tirkkonen; Luc Le Magoarou (ACSSC, 2023)

Efficient Deep Unfolding for SISO-OFDM Channel Estimation. - Baptiste Chatelier; Luc Le Magoarou; Getachew Redieteab (ICC, 2023)

Model-Driven End-to-End Learning for Integrated Sensing and Communication. - José Miguel Mateos-Ramos; Christian Häger; Musa Furkan Keskin; Luc Le Magoarou; Henk Wymeersch (ICC, 2023)

Model-based learning for location-to-channel mapping. - Baptiste Chatelier; Luc Le Magoarou; Vincent Corlay; Matthieu Crussière (CoRR, 2023)

Model-based Deep Learning for High-Dimensional Periodic Structures. - Lucas Polo-López; Luc Le Magoarou; Romain Contreres; María García-Vigueras (CoRR, 2023)

CSI Compression Using Channel Charting. - Baptiste Chatelier; Vincent Corlay; Matthieu Crussière; Luc Le Magoarou (IEEECONF, 2024)

Model-Based Learning for Location-to-Channel Mapping. - Baptiste Chatelier; Luc Le Magoarou; Vincent Corlay; Matthieu Criissière (ICASSP, 2024)

Efficient Frequency Selective Surface Analysis via End-to-End Model-Based Learning. - Cheima Hammami; Lucas Polo-López; Luc Le Magoarou (CoRR, 2024)

Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays. - Baptiste Chatelier; José Miguel Mateos-Ramos; Vincent Corlay; Christian Häger; Matthieu Crussière; Henk Wymeersch; Luc Le Magoarou (CoRR, 2024)

On the Tacit Linearity Assumption in Common Cascaded Models of RIS-Parametrized Wireless Channels. - Antonin Rabault; Luc Le Magoarou; Jérôme Sol; George C. Alexandropoulos; Nir Shlezinger; H. Vincent Poor; Philipp del Hougne (IEEE Trans. Wirel. Commun., 2024)

Optimizing Multicarrier Multiantenna Systems for LoS Channel Charting. - Taha Yassine; Luc Le Magoarou; Matthieu Crussière; Stéphane Paquelet (IEEE Trans. Wirel. Commun., 2024)

DCD-MUSIC: Deep-Learning-Aided Cascaded Differentiable MUSIC Algorithm for Near-Field Localization of Multiple Sources. - Arad Gast; Luc Le Magoarou; Nir Shlezinger (ICASSP, 2025)

Unsupervised Learning for Gain-Phase Impairment Calibration in ISAC Systems. - José Miguel Mateos-Ramos; Christian Häger; Musa Furkan Keskin; Luc Le Magoarou; Henk Wymeersch (ICASSP, 2025)

Benefits of Mutual Coupling in Dynamic Metasurface Antennas for Optimizing Wireless Communications - Theory and Experimental Validation. - Hugo Prod'homme; Jean Tapie; Luc Le Magoarou; Philipp del Hougne (CoRR, 2025)

Model-Based End-to-End Learning for Multi-Target Integrated Sensing and Communication Under Hardware Impairments. - José Miguel Mateos-Ramos; Christian Häger; Musa Furkan Keskin; Luc Le Magoarou; Henk Wymeersch (IEEE Trans. Wirel. Commun., 2025)

Near Field Localization via AI-Aided Subspace Methods. - Arad Gast; Luc Le Magoarou; Nir Shlezinger (CoRR, 2025)

Model-Based Learning for Multi-Antenna Multi-Frequency Location-to-Channel Mapping. - Baptiste Chatelier; Vincent Corlay; Matthieu Crussière; Luc Le Magoarou (IEEE J. Sel. Top. Signal Process., 2025)

Model-based learning for joint channel estimationand hybrid MIMO precoding. - Nay Klaimi; Amira Bedoui; Clément Elvira; Philippe Mary; Luc Le Magoarou (CoRR, 2025)

Model-based Neural Data Augmentation for sub-wavelength Radio Localization. - Baptiste Chatelier; Vincent Corlay; Musa Furkan Keskin; Matthieu Crussière; Henk Wymeersch; Luc Le Magoarou (CoRR, 2025)