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Vincent Corlay
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Books and Theses
- 2020
- [b1]Vincent Corlay:
Decoding Algorithms for Lattices. (Algorithmes de décodage pour les réseaux de points). Polytechnic Institute of Paris, France, 2020
Journal Articles
- 2022
- [j3]Vincent Corlay
, Nicolas Gresset
:
A Simple Sign-Bit Probabilistic Shaping Scheme. IEEE Commun. Lett. 26(4): 763-767 (2022) - [j2]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): 2951-2968 (2022) - [j1]Vincent Corlay
, Joseph J. Boutros, Philippe Ciblat
, Loïc Brunel
:
Neural Network Approaches to Point Lattice Decoding. IEEE Trans. Inf. Theory 68(5): 2969-2989 (2022)
Conference and Workshop Papers
- 2024
- [c13]Baptiste Chatelier, Luc Le Magoarou, Vincent Corlay, Matthieu Criissière:
Model-Based Learning for Location-to-Channel Mapping. ICASSP 2024: 12836-12840 - 2023
- [c12]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: 1636-1640 - [c11]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: 126-131 - [c10]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: 2360-2365 - [c9]Viet-Hoa Nguyen, Vincent Corlay, Nicolas Gresset, Cristina Ciochina:
Probabilistic Ray-Tracing Aided Positioning at mmWave frequencies. IPIN 2023: 1-6 - [c8]Vincent Corlay, Jean-Christophe Sibel:
Minimizing the Outage Probability in a Markov Decision Process. ITW 2023: 107-112 - [c7]Vincent Corlay, Hamidou Dembélé:
A modified probabilistic amplitude shaping scheme to use sign-bit-like shaping with a BICM. ITW 2023: 435-439 - [c6]Vincent Corlay, Jean-Christophe Sibel:
An MDP approach for radio resource allocation in urban Future Railway Mobile Communication System (FRMCS) scenarios. VTC2023-Spring 2023: 1-6 - [c5]Jean-Christophe Sibel, Nicolas Gresset, Vincent Corlay:
An application-oriented scheduler. WCNC 2023: 1-6 - 2020
- [c4]Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel:
On the decoding of Barnes-Wall lattices. ISIT 2020: 519-524 - 2019
- [c3]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: 1622-1626 - 2018
- [c2]Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel:
Multilevel MIMO Detection with Deep Learning. ACSSC 2018: 1805-1809 - [c1]Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel:
Neural Lattice Decoders. GlobalSIP 2018: 569-573
Informal and Other Publications
- 2024
- [i21]Vincent Corlay, Viet-Hoa Nguyen, Nicolas Gresset:
Probabilistic positioning via ray tracing with noisy angle of arrival measurements. CoRR abs/2403.00611 (2024) - [i20]Vincent Corlay, Jean-Christophe Sibel, Nicolas Gresset:
Optimal sensing policy with interference-model uncertainty. CoRR abs/2406.06280 (2024) - [i19]Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Luc Le Magoarou:
Model-based learning for multi-antenna multi-frequency location-to-channel mapping. CoRR abs/2407.07719 (2024) - 2023
- [i18]Jean-Christophe Sibel, Nicolas Gresset, Vincent Corlay:
An application-oriented scheduler. CoRR abs/2302.09926 (2023) - [i17]Vincent Corlay, Hamidou Dembélé:
A modified probabilistic amplitude shaping scheme to use sign-bit-like shaping with a BICM. CoRR abs/2302.14393 (2023) - [i16]Vincent Corlay, Jean-Christophe Sibel:
Minimizing the Outage Probability in a Markov Decision Process. CoRR abs/2302.14714 (2023) - [i15]Vincent Corlay, Jean-Christophe Sibel:
An MDP approach for radio resource allocation in urban Future Railway Mobile Communication System (FRMCS) scenarios. CoRR abs/2303.11862 (2023) - [i14]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 abs/2304.02308 (2023) - [i13]Jean-Christophe Sibel, Vincent Corlay, Adel Bechihi:
Optimized pilot distribution to track the phase noise in DFT-s-OFDM for sub-THz systems. CoRR abs/2305.04289 (2023) - [i12]Viet-Hoa Nguyen, Vincent Corlay, Nicolas Gresset, Cristina Ciochina:
Probabilistic Ray-Tracing Aided Positioning at mmWave frequencies. CoRR abs/2308.08441 (2023) - [i11]Baptiste Chatelier, Luc Le Magoarou, Vincent Corlay, Matthieu Crussière:
Model-based learning for location-to-channel mapping. CoRR abs/2308.14370 (2023) - [i10]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 abs/2312.02239 (2023) - 2022
- [i9]Vincent Corlay:
On the latency of multi-level polar coded modulations. CoRR abs/2206.00340 (2022) - 2021
- [i8]Vincent Corlay, Nicolas Gresset:
Low-Complexity Probabilistic Shaping for Coded Modulation. CoRR abs/2109.15135 (2021) - 2020
- [i7]Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel:
On the decoding of Barnes-Wall lattices. CoRR abs/2001.05907 (2020) - [i6]Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel:
A new framework for building and decoding group codes. CoRR abs/2012.06894 (2020) - [i5]Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel:
Neural network approaches to point lattice decoding. CoRR abs/2012.07032 (2020) - 2019
- [i4]Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel:
On the CVP for the root lattices via folding with deep ReLU neural networks. CoRR abs/1902.05146 (2019) - [i3]Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel:
A lattice-based approach to the expressivity of deep ReLU neural networks. CoRR abs/1902.11294 (2019) - 2018
- [i2]Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel:
Neural Lattice Decoders. CoRR abs/1807.00592 (2018) - [i1]Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel:
Multilevel MIMO Detection with Deep Learning. CoRR abs/1812.01571 (2018)
Coauthor Index
aka: Joseph J. Boutros
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