Publications

Jérôme Sol, Luc Le Magoarou, Philipp del Hougne (2024). Optimal blind focusing on perturbation-inducing targets in sub-unitary complex media.

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

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José Miguel Mateos-Ramos, Baptiste Chatelier, Christian Häger, Musa Furkan Keskin, Luc Le Magoarou, Henk Wymeersch (2023). Semi-Supervised End-to-End Learning for Integrated Sensing and Communications.

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Taha Yassine, Luc Le Magoarou, Matthieu Crussière, Stéphane Paquelet (2023). Optimizing Multicarrier Multiantenna Systems for LoS Channel Charting.

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

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

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Jérôme Sol, Hugo Prod'homme, Luc Le Magoarou, Philipp del Hougne (2023). Experimentally realized physical-model-based wave control in metasurface-programmable complex media.

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

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Baptiste Chatelier, Luc Le Magoarou, Getachew Redieteab (2023). Efficient Deep Unfolding for SISO-OFDM Channel Estimation. ICC 2023 - IEEE International Conference on Communications.

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Antonin Rabault, Luc Le Magoarou, Jérôme Sol, George C. Alexandropoulos, Nir Shlezinger, H. Vincent Poor, Philipp del Hougne (2023). On the Tacit Linearity Assumption in Common Cascaded Models of RIS-Parametrized Wireless Channels.

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

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Luc Le Magoarou, Taha Yassine, Stéphane Paquelet, Matthieu Crussière (2022). Channel charting based beamforming. 2022 56th Asilomar Conference on Signals, Systems, and Computers.

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Taha Yassine, Luc Le Magoarou (2022). mpNet: Variable Depth Unfolded Neural Network for Massive MIMO Channel Estimation. IEEE Transactions on Wireless Communications.

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Taha Yassine, Luc Le Magoarou, Stéphane Paquelet, Matthieu Crussière (2022). Leveraging triplet loss and nonlinear dimensionality reduction for on-the-fly channel charting. 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC).

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Luc Le Magoarou, Taha Yassine, Stéphane Paquelet, Matthieu Crussière (2022). Deep Learning for Location Based Beamforming with Nlos Channels. 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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José Miguel Mateos-Ramos, Christian Häger, Musa Furkan Keskin, Luc Le Magoarou, Henk Wymeersch (2022). Model-Driven End-to-End Learning for Integrated Sensing and Communication.

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Baptiste Chatelier, Luc Le Magoarou, Getachew Redieteab (2022). Efficient Deep Unfolding for SISO-OFDM Channel Estimation.

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Luc Le Magoarou (2021). Efficient Channel Charting via Phase-Insensitive Distance Computation. IEEE Wireless Communications Letters.

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Luc Le Magoarou (2021). Similarity-Based Prediction for Channel Mapping and User Positioning. IEEE Communications Letters.

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Vincent Savaux, Luc Le Magoarou (2020). On the Computation of Integrals of Bivariate Gaussian Distribution. 2020 IEEE Symposium on Computers and Communications (ISCC).

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Luc Le Magoarou, Stéphane Paquelet (2020). Channel Estimation: Unified View of Optimal Performance and Pilot Sequences. IEEE Transactions on Signal Processing.

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

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Luc Le Magoarou, Antoine Le Calvez, Stéphane Paquelet (2019). Massive MIMO Channel Estimation taking into account spherical waves. 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

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Matthieu Roy, Stéphane Paquelet, Luc Le Magoarou, Matthieu Crussière (2018). MIMO Channel Hardening for Ray-based Models. 2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob).

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Luc Le Magoarou, Stéphane Paquelet (2018). Parametric Channel Estimation for Massive MIMO. 2018 IEEE Statistical Signal Processing Workshop (SSP).

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Luc Le Magoarou, Rémi Gribonval, Nicolas Tremblay (2018). Approximate Fast Graph Fourier Transforms via Multilayer Sparse Approximations. IEEE Transactions on Signal and Information Processing over Networks.

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Luc Le Magoarou, Nicolas Tremblay, Rémi Gribonval (2017). Analyzing the approximation error of the fast graph Fourier transform. 2017 51st Asilomar Conference on Signals, Systems, and Computers.

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Luc Le Magoarou, Rémi Gribonval (2016). Flexible Multilayer Sparse Approximations of Matrices and Applications. IEEE Journal of Selected Topics in Signal Processing.

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Luc Le Magoarou, Rémi Gribonval (2016). Are there approximate fast fourier transforms on graphs?. 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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Luc Le Magoarou, Rémi Gribonval, Alexandre Gramfort (2015). FAμST: Speeding up linear transforms for tractable inverse problems. 2015 23rd European Signal Processing Conference (EUSIPCO).

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Luc Le Magoarou, Rémi Gribonval (2015). Chasing butterflies: In search of efficient dictionaries. 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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Luc Le Magoarou, Alexey Ozerov, Ngoc QK Duong (2015). Text-informed audio source separation. example-based approach using non-negative matrix partial co-factorization. Journal of Signal Processing Systems.

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Luc Le Magoarou, Alexey Ozerov, Ngoc Q. K. Duong (2013). Text-informed audio source separation using nonnegative matrix partial co-factorization. 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

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A. Breloy, L. Le Magoarou, G. Ginolhac, F. Pascal, P. Forster (2013). Maximum likelihood estimation of clutter subspace in non homogeneous noise context. 2013 21st European Signal Processing Conference (EUSIPCO).

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