Vincent Corlay

54 papers B 7C 1Misc 3Journal 36Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Model-Aware Rate-Distortion Limits for Task-Oriented Source Coding.
CoRR
Andriy Enttsel, Vincent Corlay
2025 — conf
A New Delay-Doppler-Based Pilot Scheme for OFDM Systems.
VTC2025-Spring
Yaya Bello, Vincent Corlay, Cristina Ciochina-Duchesne
2025 J jnl
A New Method for the Identification of a Wiener-Hammerstein Model in a Communication Context.
IEEE Trans. Commun.
Vincent Corlay
2025 J jnl
CSI Compression using Channel Charting.
CoRR
Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Luc Le Magoarou
2025 B conf
Discovering the phase noise autocorrelation in DFT-s-OFDM for sub-THz systems.
PIMRC
Jean-Christophe Sibel, Vincent Corlay
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 J jnl
A New Method for the Identification of a Wiener-Hammerstein Model in a Communication Context.
CoRR
Vincent Corlay
2024 J jnl
Active learning for efficient data selection in radio-signal based positioning via deep learning.
CoRR
Vincent Corlay, Milan Courcoux-Caro
2024 — conf
CSI Compression Using Channel Charting.
IEEECONF
Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Luc Le Magoarou
2024 J jnl
Differentiable High-Order Markov Models for Spectrum Prediction.
CoRR
Vincent Corlay, Tatsuya Nakazato, Kanako Yamaguchi, Akinori Nakajima
2024 J jnl
Improved Contact Graph Routing in Delay Tolerant Networks with Capacity and Buffer Constraints.
CoRR
Tania Alhajj, Vincent Corlay
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
Optimal Sensing Policy With Interference-Model Uncertainty.
IEEE Commun. Lett.
Vincent Corlay, Jean-Christophe Sibel, Nicolas Gresset
2024 J jnl
Optimal sensing policy with interference-model uncertainty.
CoRR
Vincent Corlay, Jean-Christophe Sibel, Nicolas Gresset
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
2024 J jnl
Probabilistic Positioning via Ray Tracing With Noisy Angle of Arrival Measurements.
IEEE Commun. Lett.
Vincent Corlay, Viet-Hoa Nguyen, Nicolas Gresset
2024 J jnl
Probabilistic positioning via ray tracing with noisy angle of arrival measurements.
CoRR
Vincent Corlay, Viet-Hoa Nguyen, Nicolas Gresset
2023 B conf
A modified probabilistic amplitude shaping scheme to use sign-bit-like shaping with a BICM.
ITW
Vincent Corlay, Hamidou Dembélé
2023 J jnl
A modified probabilistic amplitude shaping scheme to use sign-bit-like shaping with a BICM.
CoRR
Vincent Corlay, Hamidou Dembélé
2023 — conf
An MDP approach for radio resource allocation in urban Future Railway Mobile Communication System (FRMCS) scenarios.
VTC2023-Spring
Vincent Corlay, Jean-Christophe Sibel
2023 J jnl
An MDP approach for radio resource allocation in urban Future Railway Mobile Communication System (FRMCS) scenarios.
CoRR
Vincent Corlay, Jean-Christophe Sibel
2023 B conf
An application-oriented scheduler.
WCNC
Jean-Christophe Sibel, Nicolas Gresset, Vincent Corlay
2023 J jnl
An application-oriented scheduler.
CoRR
Jean-Christophe Sibel, Nicolas Gresset, Vincent Corlay
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 B conf
Minimizing the Outage Probability in a Markov Decision Process.
ITW
Vincent Corlay, Jean-Christophe Sibel
2023 J jnl
Minimizing the Outage Probability in a Markov Decision Process.
CoRR
Vincent Corlay, Jean-Christophe Sibel
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
2023 B conf
Optimized Pilot Distribution to Track the Phase Noise in DFT-s-OFDM for sub-THz Systems.
GLOBECOM
Jean-Christophe Sibel, Vincent Corlay, Adel Bechihi
2023 J jnl
Optimized pilot distribution to track the phase noise in DFT-s-OFDM for sub-THz systems.
CoRR
Jean-Christophe Sibel, Vincent Corlay, Adel Bechihi
2023 C conf
Probabilistic Ray-Tracing Aided Positioning at mmWave frequencies.
IPIN
Viet-Hoa Nguyen, Vincent Corlay, Nicolas Gresset, Cristina Ciochina
2023 J jnl
Probabilistic Ray-Tracing Aided Positioning at mmWave frequencies.
CoRR
Viet-Hoa Nguyen, Vincent Corlay, Nicolas Gresset, Cristina Ciochina
2022 J jnl
A Simple Sign-Bit Probabilistic Shaping Scheme.
IEEE Commun. Lett.
Vincent Corlay, Nicolas Gresset
2022 J jnl
Neural Network Approaches to Point Lattice Decoding.
IEEE Trans. Inf. Theory
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel
2022 J jnl
On the Decoding of Lattices Constructed via a Single Parity Check.
IEEE Trans. Inf. Theory
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel
2022 J jnl
On the latency of multi-level polar coded modulations.
CoRR
Vincent Corlay
2021 J jnl
Low-Complexity Probabilistic Shaping for Coded Modulation.
CoRR
Vincent Corlay, Nicolas Gresset
2020 J jnl
A new framework for building and decoding group codes.
CoRR
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel
2020 — —
Decoding Algorithms for Lattices. (Algorithmes de décodage pour les réseaux de points).
Vincent Corlay
2020 J jnl
Neural network approaches to point lattice decoding.
CoRR
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel
2020 B conf
On the decoding of Barnes-Wall lattices.
ISIT
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel
2020 J jnl
On the decoding of Barnes-Wall lattices.
CoRR
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel
2019 J jnl
A lattice-based approach to the expressivity of deep ReLU neural networks.
CoRR
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel
2019 B conf
On the CVP for the root lattices via folding with deep ReLU neural networks.
ISIT
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel
2019 J jnl
On the CVP for the root lattices via folding with deep ReLU neural networks.
CoRR
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel
2018 Misc conf
Multilevel MIMO Detection with Deep Learning.
ACSSC
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel
2018 J jnl
Multilevel MIMO Detection with Deep Learning.
CoRR
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel
2018 — conf
Neural Lattice Decoders.
GlobalSIP
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel
2018 J jnl
Neural Lattice Decoders.
CoRR
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel