Luc Le Magoarou

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 42

Top Venues

INSA de Rennes, France (PHD)

Education History

INSA de Rennes, France

PHD

Publications

Antonin Rabault, Luc Le Magoarou, Jérôme Sol, George C. Alexandropoulos, Nir Shlezinger, H. Vincent Poor, Philipp del Hougne
On the Tacit Linearity Assumption in Common Cascaded Models of RIS-Parametrized Wireless Channels. IEEE Trans. Wirel. Commun. 23 (8) (2024)
Baptiste Chatelier, Luc Le Magoarou, Vincent Corlay, Matthieu Criissière
Model-Based Learning for Location-to-Channel Mapping. ICASSP (2024)
Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Luc Le Magoarou
Model-based learning for multi-antenna multi-frequency location-to-channel mapping. CoRR (2024)
José Miguel Mateos-Ramos, Christian Häger, Musa Furkan Keskin, Luc Le Magoarou, Henk Wymeersch
Model-Driven End-to-End Learning for Integrated Sensing and Communication. ICC (2023)
Antonin Rabault, Luc Le Magoarou, Jérôme Sol, George C. Alexandropoulos, Nir Shlezinger, H. Vincent Poor, Philipp del Hougne
On the Tacit Linearity Assumption in Common Cascaded Models of RIS-Parametrized Wireless Channels. CoRR (2023)
Taha Yassine, Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Stéphane Paquelet, Olav Tirkkonen, Luc Le Magoarou
Model-Based Deep Learning for Beam Prediction Based on a Channel Chart. ACSSC (2023)
Taha Yassine, Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Stéphane Paquelet, Olav Tirkkonen, Luc Le Magoarou
Model-based Deep Learning for Beam Prediction based on a Channel Chart. CoRR (2023)
Baptiste Chatelier, Luc Le Magoarou, Vincent Corlay, Matthieu Crussière
Model-based learning for location-to-channel mapping. CoRR (2023)
Lucas Polo-López, Luc Le Magoarou, Romain Contreres, María García-Vigueras
Model-based Deep Learning for High-Dimensional Periodic Structures. CoRR (2023)
Taha Yassine, Luc Le Magoarou, Matthieu Crussière, Stéphane Paquelet
Optimizing Multicarrier Multiantenna Systems for LoS Channel Charting. CoRR (2023)
Baptiste Chatelier, Luc Le Magoarou, Getachew Redieteab
Efficient Deep Unfolding for SISO-OFDM Channel Estimation. ICC (2023)
Luc Le Magoarou, Taha Yassine, Stéphane Paquelet, Matthieu Crussière
Deep learning for location based beamforming with NLOS channels. CoRR (2022)
Luc Le Magoarou, Taha Yassine, Stéphane Paquelet, Matthieu Crussière
Channel charting based beamforming. CoRR (2022)
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
Pervasive Artificial Intelligence in Next Generation Wireless: The Hexa-X Project Perspective. AI6G@WCCI (2022)
Taha Yassine, Luc Le Magoarou
mpNet: Variable Depth Unfolded Neural Network for Massive MIMO Channel Estimation. IEEE Trans. Wirel. Commun. 21 (7) (2022)
Taha Yassine, Luc Le Magoarou, Stéphane Paquelet, Matthieu Crussière
Leveraging triplet loss and nonlinear dimensionality reduction for on-the-fly channel charting. CoRR (2022)
Taha Yassine, Luc Le Magoarou, Stéphane Paquelet, Matthieu Crussière
Leveraging triplet loss and nonlinear dimensionality reduction for on-the-fly channel charting. SPAWC (2022)
Luc Le Magoarou, Taha Yassine, Stéphane Paquelet, Matthieu Crussière
Channel charting based beamforming. IEEECONF (2022)
Baptiste Chatelier, Luc Le Magoarou, Getachew Redieteab
Efficient Deep Unfolding for SISO-OFDM Channel Estimation. CoRR (2022)
Luc Le Magoarou, Taha Yassine, Stéphane Paquelet, Matthieu Crussière
Deep Learning for Location Based Beamforming with Nlos Channels. ICASSP (2022)
Luc Le Magoarou
Efficient Channel Charting via Phase-Insensitive Distance Computation. IEEE Wirel. Commun. Lett. 10 (12) (2021)
Luc Le Magoarou
Similarity-Based Prediction for Channel Mapping and User Positioning. IEEE Commun. Lett. 25 (5) (2021)
Luc Le Magoarou
Similarity-based prediction for channel mapping and user positioning. CoRR (2021)
Luc Le Magoarou
Efficient channel charting via phase-insensitive distance computation. CoRR (2021)
Luc Le Magoarou, Stéphane Paquelet
Channel Estimation: Unified View of Optimal Performance and Pilot Sequences. IEEE Trans. Signal Process. 68 (2020)
Taha Yassine, Luc Le Magoarou
mpNet: variable depth unfolded neural network for massive MIMO channel estimation. CoRR (2020)
Vincent Savaux, Luc Le Magoarou
On the Computation of Integrals of Bivariate Gaussian Distribution. ISCC (2020)
Luc Le Magoarou, Stéphane Paquelet
Performance of MIMO channel estimation with a physical model. CoRR (2019)
Samer Bazzi, Stelios Stefanatos, Luc Le Magoarou, Salah Eddine Hajri, Mohamad Assaad, Stéphane Paquelet, Gerhard Wunder, Wen Xu
Exploiting the Massive MIMO Channel Structural Properties for Minimization of Channel Estimation Error and Training Overhead. IEEE Access 7 (2019)
Luc Le Magoarou, Antoine Le Calvez, Stéphane Paquelet
Massive MIMO Channel Estimation taking into account spherical waves. SPAWC (2019)
Antoine Le Calvez, Luc Le Magoarou, Stéphane Paquelet
Massive MIMO channel estimation taking into account spherical waves. CoRR (2018)
Luc Le Magoarou, Stéphane Paquelet
Parametric Channel Estimation for Massive MIMO. SSP (2018)
Matthieu Roy, Stéphane Paquelet, Luc Le Magoarou, Matthieu Crussière
MIMO Channel Hardening: A Physical Model based Analysis. CoRR (2018)
Luc Le Magoarou, Rémi Gribonval, Nicolas Tremblay
Approximate Fast Graph Fourier Transforms via Multilayer Sparse Approximations. IEEE Trans. Signal Inf. Process. over Networks 4 (2) (2018)
Luc Le Magoarou, Stéphane Paquelet
Bias-variance tradeoff in MIMO channel estimation. CoRR (2018)
Matthieu Roy, Stéphane Paquelet, Luc Le Magoarou, Matthieu Crussière
MIMO Channel Hardening for Ray-based Models. WiMob (2018)
Luc Le Magoarou, Nicolas Tremblay, Rémi Gribonval
Analyzing the approximation error of the fast graph Fourier transform. ACSSC (2017)
Luc Le Magoarou, Stéphane Paquelet
Parametric channel estimation for massive MIMO. CoRR (2017)
Luc Le Magoarou, Nicolas Tremblay, Rémi Gribonval
Analyzing the Approximation Error of the Fast Graph Fourier Transform. CoRR (2017)
Luc Le Magoarou, Rémi Gribonval, Nicolas Tremblay
Approximate Fast Fourier Transforms on graphs via multi-layer sparse approximations. CoRR (2016)
Luc Le Magoarou, Rémi Gribonval
Flexible Multilayer Sparse Approximations of Matrices and Applications. IEEE J. Sel. Top. Signal Process. 10 (4) (2016)
Luc Le Magoarou, Rémi Gribonval
Are there approximate fast fourier transforms on graphs? ICASSP (2016)
Luc Le Magoarou, Rémi Gribonval
Flexible Multi-layer Sparse Approximations of Matrices and Applications. CoRR (2015)
Luc Le Magoarou, Alexey Ozerov, Ngoc Q. K. Duong
Text-Informed Audio Source Separation. Example-Based Approach Using Non-Negative Matrix Partial Co-Factorization. J. Signal Process. Syst. 79 (2) (2015)
Luc Le Magoarou, Rémi Gribonval, Alexandre Gramfort
FAμST: Speeding up linear transforms for tractable inverse problems. EUSIPCO (2015)
Luc Le Magoarou, Rémi Gribonval
Chasing butterflies: In search of efficient dictionaries. ICASSP (2015)
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
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR (2014)
Luc Le Magoarou, Rémi Gribonval
Learning computationally efficient dictionaries and their implementation as fast transforms. CoRR (2014)
Luc Le Magoarou, Alexey Ozerov, Ngoc Q. K. Duong
Text-informed audio source separation using nonnegative matrix partial co-factorization. MLSP (2013)
Arnaud Breloy, Luc Le Magoarou, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
Maximum likelihood estimation of clutter subspace in non homogeneous noise context. EUSIPCO (2013)

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Publication Activity (10 Years)

Top Topics

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Luc Le Magoarou