Baptiste Chatelier

16 papers B 1Misc 2Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CSI Compression using Channel Charting. CoRR Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, 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	—	`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
2024	—	`conf`	CSI Compression Using Channel Charting. IEEECONF Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, 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`	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	—	`conf`	Influence of Dataset Parameters on the Performance of Direct UE Positioning via Deep Learning. EuCNC/6G Summit Baptiste Chatelier, Vincent Corlay, Cristina Ciochina, Fallou Coly, Julien Guillet
2023	J	`jnl`	Influence of Dataset Parameters on the Performance of Direct UE Positioning via Deep Learning. CoRR Baptiste Chatelier, Vincent Corlay, Cristina Ciochina, Fallou Coly, Julien Guillet
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	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 learning for location-to-channel mapping. CoRR Baptiste Chatelier, Luc Le Magoarou, Vincent Corlay, Matthieu Crussière
2022	J	`jnl`	Efficient Deep Unfolding for SISO-OFDM Channel Estimation. CoRR Baptiste Chatelier, Luc Le Magoarou, Getachew Redieteab
2022	B	`conf`	On the Impact of Phase Noise on Beamforming Performance for mmWave Massive MIMO Systems. WCNC Baptiste Chatelier, Matthieu Crussière