Vincent Corlay

According to our database, Vincent Corlay authored at least 28 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Probabilistic Positioning via Ray Tracing With Noisy Angle of Arrival Measurements.

Vincent Corlay, Viet-Hoa Nguyen, Nicolas Gresset

IEEE Commun. Lett., October, 2024

Improved Contact Graph Routing in Delay Tolerant Networks with Capacity and Buffer Constraints.

Tania Alhajj, Vincent Corlay

CoRR, 2024

A New Method for the Identification of a Wiener-Hammerstein Model in a Communication Context.

Vincent Corlay

CoRR, 2024

Active learning for efficient data selection in radio-signal based positioning via deep learning.

Vincent Corlay, Milan Courcoux-Caro

CoRR, 2024

Model-based learning for multi-antenna multi-frequency location-to-channel mapping.

Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Luc Le Magoarou

CoRR, 2024

Optimal sensing policy with interference-model uncertainty.

Vincent Corlay, Jean-Christophe Sibel, Nicolas Gresset

CoRR, 2024

Model-Based Learning for Location-to-Channel Mapping.

Baptiste Chatelier, Luc Le Magoarou, Vincent Corlay, Matthieu Criissière

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Model-based learning for location-to-channel mapping.

Baptiste Chatelier, Luc Le Magoarou, Vincent Corlay, Matthieu Crussière

CoRR, 2023

An application-oriented scheduler.

Jean-Christophe Sibel, Nicolas Gresset, Vincent Corlay

Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

An MDP approach for radio resource allocation in urban Future Railway Mobile Communication System (FRMCS) scenarios.

Vincent Corlay, Jean-Christophe Sibel

Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

Minimizing the Outage Probability in a Markov Decision Process.

Vincent Corlay, Jean-Christophe Sibel

Proceedings of the IEEE Information Theory Workshop, 2023

A modified probabilistic amplitude shaping scheme to use sign-bit-like shaping with a BICM.

Vincent Corlay, Hamidou Dembélé

Proceedings of the IEEE Information Theory Workshop, 2023

Probabilistic Ray-Tracing Aided Positioning at mmWave frequencies.

Viet-Hoa Nguyen, Vincent Corlay, Nicolas Gresset, Cristina Ciochina

Proceedings of the 13th International Conference on Indoor Positioning and Indoor Navigation, 2023

Optimized Pilot Distribution to Track the Phase Noise in DFT-s-OFDM for sub-THz Systems.

Jean-Christophe Sibel, Vincent Corlay, Adel Bechihi

Proceedings of the IEEE Global Communications Conference, 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

Proceedings of the 2023 Joint European Conference on Networks and Communications & 6G Summit, 2023

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

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Neural Network Approaches to Point Lattice Decoding.

Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel

IEEE Trans. Inf. Theory, 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

A Simple Sign-Bit Probabilistic Shaping Scheme.

Vincent Corlay, Nicolas Gresset

IEEE Commun. Lett., 2022

On the latency of multi-level polar coded modulations.

Vincent Corlay

CoRR, 2022

2021

Low-Complexity Probabilistic Shaping for Coded Modulation.

Vincent Corlay, Nicolas Gresset

CoRR, 2021

2020

Decoding Algorithms for Lattices. (Algorithmes de décodage pour les réseaux de points).

Vincent Corlay

PhD thesis, 2020

A new framework for building and decoding group codes.

Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel

CoRR, 2020

On the decoding of Barnes-Wall lattices.

Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel

Proceedings of the IEEE International Symposium on Information Theory, 2020

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 CVP for the root lattices via folding with deep ReLU neural networks.

Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel

Proceedings of the IEEE International Symposium on Information Theory, 2019

2018

Neural Lattice Decoders.

Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Multilevel MIMO Detection with Deep Learning.

Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018