306 citations
- Institut National des Sciences Appliquées de RennesFR25 papers
- Centre National de la Recherche ScientifiqueFR22 papers
- Université de RennesFR16 papers
- CentraleSupélecFR9 papers
- Orange (France)FR5 papers
- Institut de Recherche Technologique B-comFR4 papers
- Université Européenne de BretagneFR4 papers
- Laboratoire d'Analyse et d'Architecture des SystèmesFR3 papers
- SupélecFR3 papers
- IMT AtlantiqueFR2 papers
- Institut PascalFR2 papers
- Laboratoire d'électronique, systèmes de communication et microsystèmesFR2 papers
7 papers · 1 filter
CSI Compression using Channel Charting
Baptiste Chatelier, Vincent Corlay, Matthieu Crussière +1
Reaping the benefits of multi-antenna communication systems in frequency division duplex (FDD) requires channel state information (CSI) reporting from mobile users to the base stat…
Tangled Program Graphs as an alternative to DRL-based control algorithms for UAVs
Hubert Szolc, Karol Desnos, Tomasz Kryjak
Deep reinforcement learning (DRL) is currently the most popular AI-based approach to autonomous vehicle control. An agent, trained for this purpose in simulation, can interact with…
Collision and Obstacle Avoidance for Industrial Autonomous Vehicles -- Simulation and Experimentation Based on a Cooperative Approach
Juliette Grosset, Alain-Jérôme Fougères, M Djoko-Kouam +2
One of the challenges of Industry 4.0, is to determine and optimize the flow of data, products and materials in manufacturing companies. To realize these challenges, many solutions…
Rate-Loss Regions for Polynomial Regression with Side Information
Jiahui Wei, Philippe Mary, Elsa Dupraz
In the context of goal-oriented communications, this paper addresses the achievable rate versus generalization error region of a learning task applied on compressed data. The study…
Agile Free-Form Signal Filtering with a Chaotic-Cavity-Backed Non-Local Programmable Metasurface
Fabian T. Faul, Laurent Cronier, Ali Alhulaymi +2
Filter synthesis is an inverse problem that is traditionally approached rationally by considering spatially disjoint resonators, approximating them as lumped elements, and engineer…
Training of Physical Neural Networks
Ali Momeni, Babak Rahmani, Benjamin Scellier +25
Physical neural networks (PNNs) are a class of neural-like networks that leverage the properties of physical systems to perform computation. While PNNs are so far a niche research…