Baptiste Chatelier, Postdoctoral Fellow at Chalmers University of Technology
I am a Postdoctoral Fellow at Chalmers University of Technology in Göteborg, Sweden working with Prof. Henk Wymeersch on model-based machine learning for wireless localization and sensing.
Prior to that, I was a Postdoctoral Fellow at INSA Rennes, France, where I also obtained my PhD, funded by Mitsubishi Electric R&D Centre Europe (MERCE), and supervised by Luc Le Magoarou, Vincent Corlay and Matthieu Crussière.
My research interests include signal processing, applied mathematics and model-based/physics-inspired machine learning for wireless communication systems.
Feel free to reach out if you want to discuss research or potential collaborations!
News
- 2026.09📝 Our recent conference paper "Online Array Calibration via Bayesian Tracking" has been accepted to IEEE Conference on Integrated Sensing and Communications (ISAC) (Authors: Sivan Grotas Mussan, José Miguel Mateos-Ramos, Baptiste Chatelier, Luc Le Magoarou, Christian Häger, Henk Wymeersch, Nir Shlezinger). Congrats Sivan for this nice paper!
- 2026.06📝 Our journal paper "Model-based Implicit Neural Representation for sub-wavelength Radio Localization" has been accepted to IEEE Transactions on Wireless Communications (Authors: Baptiste Chatelier, Vincent Corlay, Musa Furkan Keskin, Matthieu Crussière, Henk Wymeersch, Luc Le Magoarou).
- 2026.06🎉 I joined Henk Wymeersch's group at Chalmers University of Technology in Göteborg, Sweden as a Postdoctoral Fellow! Looking forward to the research and collaborations ahead!
- 2026.04📝 Our latest conference preprint "Unsupervised End-to-End Array Calibration for Multi-Target Integrated Sensing and Communication" is now available (Authors: José Miguel Mateos-Ramos, Baptiste Chatelier, Luc Le Magoarou, Nir Shlezinger, Henk Wymeersch, Christian Häger)! Thanks José for this nice collaboration!
- 2026.01🎉 I successfully defended my PhD! My thesis Model-based learning for high-dimensional wireless systems is now available here.
- 2025.02📝 Our journal paper "Model-based learning for multi-antenna multi-frequency location-to-channel mapping" has been accepted to IEEE Journal of Selected Topics in Signal Processing (Authors: Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Luc Le Magoarou).
- 2025.01📝 Our conference paper "Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays" has been accepted to IEEE ICC (Authors: Baptiste Chatelier, José Miguel Mateos-Ramos, Vincent Corlay, Christian Häger, Matthieu Crussière, Henk Wymeersch, Luc Le Magoarou).
- 2024.10📝 Our conference paper "CSI Compression using Channel Charting" has been accepted to IEEE ASILOMAR (Authors: Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Luc Le Magoarou).
- 2024.05📝 Our conference paper "Semi-Supervised End-to-End Learning for Integrated Sensing and Communications" has been accepted to IEEE ICMLCN (Authors: José Miguel Mateos-Ramos, Baptiste Chatelier, Christian Häger, Musa Furkan Keskin, Luc Le Magoarou, Henk Wymeersch).
- 2024.03📝 Our conference paper "Model-based learning for location-to-channel mapping" has been accepted to IEEE ICASSP (Authors: Baptiste Chatelier, Luc Le Magoarou, Vincent Corlay, Matthieu Crussière).
- 2023.10📝 Our conference paper "Model-based Deep Learning for Beam Prediction based on a Channel Chart" has been accepted to IEEE ASILOMAR (Authors: Taha Yassine, Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Stéphane Paquelet, Olav Tirkkonen, Luc Le Magoarou).