Multilevel MIMO Detection with Deep Learning. - Vincent Corlay; Joseph J. Boutros; Philippe Ciblat; Loïc Brunel (ACSSC, 2018)

Neural Lattice Decoders. - Vincent Corlay; Joseph J. Boutros; Philippe Ciblat; Loïc Brunel (GlobalSIP, 2018)

On the CVP for the root lattices via folding with deep ReLU neural networks. - Vincent Corlay; Joseph J. Boutros; Philippe Ciblat; Loïc Brunel (ISIT, 2019)

A lattice-based approach to the expressivity of deep ReLU neural networks. - Vincent Corlay; Joseph J. Boutros; Philippe Ciblat; Loïc Brunel (CoRR, 2019)

On the decoding of Barnes-Wall lattices. - Vincent Corlay; Joseph J. Boutros; Philippe Ciblat; Loïc Brunel (ISIT, 2020)

A new framework for building and decoding group codes. - Vincent Corlay; Joseph J. Boutros; Philippe Ciblat; Loïc Brunel (CoRR, 2020)

Decoding Algorithms for Lattices. (Algorithmes de décodage pour les réseaux de points). - Vincent Corlay (2020)

Low-Complexity Probabilistic Shaping for Coded Modulation. - Vincent Corlay; Nicolas Gresset (CoRR, 2021)

On the latency of multi-level polar coded modulations. - Vincent Corlay (CoRR, 2022)

A Simple Sign-Bit Probabilistic Shaping Scheme. - Vincent Corlay; Nicolas Gresset (IEEE Commun. Lett., 2022)

On the Decoding of Lattices Constructed via a Single Parity Check. - Vincent Corlay; Joseph J. Boutros; Philippe Ciblat; Loïc Brunel (IEEE Trans. Inf. Theory, 2022)

Neural Network Approaches to Point Lattice Decoding. - Vincent Corlay; Joseph J. Boutros; Philippe Ciblat; Loïc Brunel (IEEE Trans. Inf. Theory, 2022)

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

Influence of Dataset Parameters on the Performance of Direct UE Positioning via Deep Learning. - Baptiste Chatelier; Vincent Corlay; Cristina Ciochina; Fallou Coly; Julien Guillet (EuCNC/6G Summit, 2023)

Optimized Pilot Distribution to Track the Phase Noise in DFT-s-OFDM for sub-THz Systems. - Jean-Christophe Sibel; Vincent Corlay; Adel Bechihi (GLOBECOM, 2023)

Probabilistic Ray-Tracing Aided Positioning at mmWave frequencies. - Viet-Hoa Nguyen; Vincent Corlay; Nicolas Gresset; Cristina Ciochina (IPIN, 2023)

A modified probabilistic amplitude shaping scheme to use sign-bit-like shaping with a BICM. - Vincent Corlay; Hamidou Dembélé (ITW, 2023)

Minimizing the Outage Probability in a Markov Decision Process. - Vincent Corlay; Jean-Christophe Sibel (ITW, 2023)

An MDP approach for radio resource allocation in urban Future Railway Mobile Communication System (FRMCS) scenarios. - Vincent Corlay; Jean-Christophe Sibel (VTC2023-Spring, 2023)

An application-oriented scheduler. - Jean-Christophe Sibel; Nicolas Gresset; Vincent Corlay (WCNC, 2023)

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

CSI Compression Using Channel Charting. - Baptiste Chatelier; Vincent Corlay; Matthieu Crussière; Luc Le Magoarou (IEEECONF, 2024)

Model-Based Learning for Location-to-Channel Mapping. - Baptiste Chatelier; Luc Le Magoarou; Vincent Corlay; Matthieu Criissière (ICASSP, 2024)

Active learning for efficient data selection in radio-signal based positioning via deep learning. - Vincent Corlay; Milan Courcoux-Caro (CoRR, 2024)

Improved Contact Graph Routing in Delay Tolerant Networks with Capacity and Buffer Constraints. - Tania Alhajj; Vincent Corlay (CoRR, 2024)

Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays. - Baptiste Chatelier; José Miguel Mateos-Ramos; Vincent Corlay; Christian Häger; Matthieu Crussière; Henk Wymeersch; Luc Le Magoarou (CoRR, 2024)

Differentiable High-Order Markov Models for Spectrum Prediction. - Vincent Corlay; Tatsuya Nakazato; Kanako Yamaguchi; Akinori Nakajima (CoRR, 2024)

Probabilistic Positioning via Ray Tracing With Noisy Angle of Arrival Measurements. - Vincent Corlay; Viet-Hoa Nguyen; Nicolas Gresset (IEEE Commun. Lett., 2024)

Optimal Sensing Policy With Interference-Model Uncertainty. - Vincent Corlay; Jean-Christophe Sibel; Nicolas Gresset (IEEE Commun. Lett., 2024)

Model-Based Learning for Multi-Antenna Multi-Frequency Location-to-Channel Mapping. - Baptiste Chatelier; Vincent Corlay; Matthieu Crussière; Luc Le Magoarou (IEEE J. Sel. Top. Signal Process., 2025)

Model-based Neural Data Augmentation for sub-wavelength Radio Localization. - Baptiste Chatelier; Vincent Corlay; Musa Furkan Keskin; Matthieu Crussière; Henk Wymeersch; Luc Le Magoarou (CoRR, 2025)

A New Method for the Identification of a Wiener-Hammerstein Model in a Communication Context. - Vincent Corlay (IEEE Trans. Commun., 2025)