Vincent Corlay

Orcid: 0000-0002-9406-8377

According to our database1, Vincent Corlay authored at least 31 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Legend:

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Links

On csauthors.net:

Bibliography

2025
CSI Compression using Channel Charting.
CoRR, January, 2025

2024
Optimal Sensing Policy With Interference-Model Uncertainty.
IEEE Commun. Lett., December, 2024

Probabilistic Positioning via Ray Tracing With Noisy Angle of Arrival Measurements.
IEEE Commun. Lett., October, 2024

Differentiable High-Order Markov Models for Spectrum Prediction.
CoRR, 2024

Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays.
CoRR, 2024

Improved Contact Graph Routing in Delay Tolerant Networks with Capacity and Buffer Constraints.
CoRR, 2024

A New Method for the Identification of a Wiener-Hammerstein Model in a Communication Context.
CoRR, 2024

Active learning for efficient data selection in radio-signal based positioning via deep learning.
CoRR, 2024

Model-based learning for multi-antenna multi-frequency location-to-channel mapping.
CoRR, 2024

Model-Based Learning for Location-to-Channel Mapping.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Model-based learning for location-to-channel mapping.
CoRR, 2023

An application-oriented scheduler.
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.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

Minimizing the Outage Probability in a Markov Decision Process.
Proceedings of the IEEE Information Theory Workshop, 2023

A modified probabilistic amplitude shaping scheme to use sign-bit-like shaping with a BICM.
Proceedings of the IEEE Information Theory Workshop, 2023

Probabilistic Ray-Tracing Aided Positioning at mmWave frequencies.
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.
Proceedings of the IEEE Global Communications Conference, 2023

Influence of Dataset Parameters on the Performance of Direct UE Positioning via Deep Learning.
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.
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.
IEEE Trans. Inf. Theory, 2022

On the Decoding of Lattices Constructed via a Single Parity Check.
IEEE Trans. Inf. Theory, 2022

A Simple Sign-Bit Probabilistic Shaping Scheme.
IEEE Commun. Lett., 2022

On the latency of multi-level polar coded modulations.
CoRR, 2022

2021
Low-Complexity Probabilistic Shaping for Coded Modulation.
CoRR, 2021

2020
Decoding Algorithms for Lattices. (Algorithmes de décodage pour les réseaux de points).
PhD thesis, 2020

A new framework for building and decoding group codes.
CoRR, 2020

On the decoding of Barnes-Wall lattices.
Proceedings of the IEEE International Symposium on Information Theory, 2020

2019
A lattice-based approach to the expressivity of deep ReLU neural networks.
CoRR, 2019

On the CVP for the root lattices via folding with deep ReLU neural networks.
Proceedings of the IEEE International Symposium on Information Theory, 2019

2018
Neural Lattice Decoders.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Multilevel MIMO Detection with Deep Learning.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018


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