Vincent Corlay

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 37

Top Topics

Lattice Structure

Top Venues

IEEE Trans. Inf. Theory

Publications

Vincent Corlay, Viet-Hoa Nguyen, Nicolas Gresset
Probabilistic positioning via ray tracing with noisy angle of arrival measurements. CoRR (2024)
Baptiste Chatelier, Luc Le Magoarou, Vincent Corlay, Matthieu Criissière
Model-Based Learning for Location-to-Channel Mapping. ICASSP (2024)
Vincent Corlay, Jean-Christophe Sibel, Nicolas Gresset
Optimal sensing policy with interference-model uncertainty. CoRR (2024)
Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Luc Le Magoarou
Model-based learning for multi-antenna multi-frequency location-to-channel mapping. CoRR (2024)
Vincent Corlay, Hamidou Dembélé
A modified probabilistic amplitude shaping scheme to use sign-bit-like shaping with a BICM. CoRR (2023)
Vincent Corlay, Jean-Christophe Sibel
Minimizing the Outage Probability in a Markov Decision Process. ITW (2023)
Vincent Corlay, Jean-Christophe Sibel
Minimizing the Outage Probability in a Markov Decision Process. CoRR (2023)
Viet-Hoa Nguyen, Vincent Corlay, Nicolas Gresset, Cristina Ciochina
Probabilistic Ray-Tracing Aided Positioning at mmWave frequencies. IPIN (2023)
Vincent Corlay, Hamidou Dembélé
A modified probabilistic amplitude shaping scheme to use sign-bit-like shaping with a BICM. ITW (2023)
Taha Yassine, Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Stéphane Paquelet, Olav Tirkkonen, Luc Le Magoarou
Model-Based Deep Learning for Beam Prediction Based on a Channel Chart. ACSSC (2023)
Viet-Hoa Nguyen, Vincent Corlay, Nicolas Gresset, Cristina Ciochina
Probabilistic Ray-Tracing Aided Positioning at mmWave frequencies. CoRR (2023)
Taha Yassine, Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Stéphane Paquelet, Olav Tirkkonen, Luc Le Magoarou
Model-based Deep Learning for Beam Prediction based on a Channel Chart. CoRR (2023)
Baptiste Chatelier, Vincent Corlay, Cristina Ciochina, Fallou Coly, Julien Guillet
Influence of Dataset Parameters on the Performance of Direct UE Positioning via Deep Learning. EuCNC/6G Summit (2023)
Jean-Christophe Sibel, Nicolas Gresset, Vincent Corlay
An application-oriented scheduler. CoRR (2023)
Baptiste Chatelier, Vincent Corlay, Cristina Ciochina, Fallou Coly, Julien Guillet
Influence of Dataset Parameters on the Performance of Direct UE Positioning via Deep Learning. CoRR (2023)
Baptiste Chatelier, Luc Le Magoarou, Vincent Corlay, Matthieu Crussière
Model-based learning for location-to-channel mapping. CoRR (2023)
Jean-Christophe Sibel, Nicolas Gresset, Vincent Corlay
An application-oriented scheduler. WCNC (2023)
Vincent Corlay, Jean-Christophe Sibel
An MDP approach for radio resource allocation in urban Future Railway Mobile Communication System (FRMCS) scenarios. CoRR (2023)
Vincent Corlay, Jean-Christophe Sibel
An MDP approach for radio resource allocation in urban Future Railway Mobile Communication System (FRMCS) scenarios. VTC2023-Spring (2023)
Jean-Christophe Sibel, Vincent Corlay, Adel Bechihi
Optimized Pilot Distribution to Track the Phase Noise in DFT-s-OFDM for sub-THz Systems. GLOBECOM (2023)
Jean-Christophe Sibel, Vincent Corlay, Adel Bechihi
Optimized pilot distribution to track the phase noise in DFT-s-OFDM for sub-THz systems. CoRR (2023)
Vincent Corlay
On the latency of multi-level polar coded modulations. CoRR (2022)
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel
On the Decoding of Lattices Constructed via a Single Parity Check. IEEE Trans. Inf. Theory 68 (5) (2022)
Vincent Corlay, Nicolas Gresset
A Simple Sign-Bit Probabilistic Shaping Scheme. IEEE Commun. Lett. 26 (4) (2022)
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel
Neural Network Approaches to Point Lattice Decoding. IEEE Trans. Inf. Theory 68 (5) (2022)
Vincent Corlay, Nicolas Gresset
Low-Complexity Probabilistic Shaping for Coded Modulation. CoRR (2021)
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel
On the decoding of Barnes-Wall lattices. CoRR (2020)
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel
A new framework for building and decoding group codes. CoRR (2020)
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel
On the decoding of Barnes-Wall lattices. ISIT (2020)
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel
Neural network approaches to point lattice decoding. CoRR (2020)
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel
A lattice-based approach to the expressivity of deep ReLU neural networks. CoRR (2019)
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel
On the CVP for the root lattices via folding with deep ReLU neural networks. CoRR (2019)
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel
On the CVP for the root lattices via folding with deep ReLU neural networks. ISIT (2019)
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel
Neural Lattice Decoders. GlobalSIP (2018)
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel
Multilevel MIMO Detection with Deep Learning. ACSSC (2018)
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel
Neural Lattice Decoders. CoRR (2018)
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel
Multilevel MIMO Detection with Deep Learning. CoRR (2018)