Massive Machine Type Communications Uplink Traffic: Impact of Beamforming at the Base Station. - Mathieu Goutay; Leonardo S. Cardoso; Claire Goursaud (ICT, 2018)

Deep Reinforcement Learning Autoencoder with Noisy Feedback. - Mathieu Goutay; Fayçal Ait Aoudia; Jakob Hoydis (WiOpt, 2019)

Deep HyperNetwork-Based MIMO Detection. - Mathieu Goutay; Fayçal Ait Aoudia; Jakob Hoydis (SPAWC, 2020)

End-to-End Learning of OFDM Waveforms with PAPR and ACLR Constraints. - Mathieu Goutay; Fayçal Ait Aoudia; Jakob Hoydis; Jean-Marie Gorce (GLOBECOM (Workshops), 2021)

Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems. - Mathieu Goutay; Fayçal Ait Aoudia; Jakob Hoydis; Jean-Marie Gorce (SPAWC, 2021)

Learning OFDM Waveforms with PAPR and ACLR Constraints. - Mathieu Goutay; Fayçal Ait Aoudia; Jakob Hoydis; Jean-Marie Gorce (CoRR, 2021)

Machine Learning for MU-MIMO Receive Processing in OFDM Systems. - Mathieu Goutay; Fayçal Ait Aoudia; Jakob Hoydis; Jean-Marie Gorce (IEEE J. Sel. Areas Commun., 2021)

Applications of Deep Learning to the Design of Enhanced Wireless Communication Systems. - Mathieu Goutay (CoRR, 2022)

Applications of Deep Learning to the Design of Enhanced Wireless Communication Systems. (Applications de l'Apprentissage Profond à la Conception de Systèmes de Communication Sans Fil Améliorés). - Mathieu Goutay (2022)