260 citations
- Université de Bretagne OccidentaleFR127 papers
- Centre National de la Recherche ScientifiqueFR103 papers
- IMT AtlantiqueFR84 papers
- Institut national de recherche en sciences et technologies du numériqueFR18 papers
- École nationale supérieure de techniques avancées BretagneFR16 papers
- Université de Bretagne SudFR15 papers
- Université Grenoble AlpesFR15 papers
- École nationale d'ingénieurs de BrestFR14 papers
- Université Paris-SaclayFR12 papers
- Laboratoire de Mathématiques de Bretagne AtlantiqueFR11 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR9 papers
- Télécom BretagneFR9 papers
191 papers
The Nocturnity Scale: Measuring the Sense of Being at Night in Virtual Urban Environments
Anthony Le Gourri{é}rec, Etienne Peillard, Nicolas Houel +1
Nighttime environments are increasingly used in virtual urban studies, yet darkness alone does not fully recreate the subjective sense of being at night. Prior work suggests that t…
Free-Space CV-QKD with Single-Mode Fiber Reception: Effective Coupling Statistics and Protocol-Dependent Reference Noise
Hesham S. Ibrahim, Arnaud Coatanhay
We study free-space continuous-variable quantum key distribution (CV-QKD) with single-mode fiber (SMF) reception under atmospheric turbulence. The optical channel is modeled by spl…
Bit-Width-Aware Design Environment for Few-Shot Learning on Edge AI Hardware
R. Kanda, H. L. Blevec, N. Onizawa +3
In this study, we propose an implementation methodology of real-time few-shot learning on tiny FPGA SoCs such as the PYNQ-Z1 board with arbitrary fixed-point bit-widths. Tensil-bas…
Design Environment of Quantization-Aware Edge AI Hardware for Few-Shot Learning
R. Kanda, N. Onizawa, M. Leonardon +2
This study aims to ensure consistency in accuracy throughout the entire design flow in the implementation of edge AI hardware for few-shot learning, by implementing fixed-point dat…
Un cadre paraconsistant pour l'{é}valuation de similarit{é} dans les bases de connaissances
José-Luis Vilchis Medina
This article proposes a paraconsistent framework for evaluating similarity in knowledge bases. Unlike classical approaches, this framework explicitly integrates contradictions, ena…
RETENTION: Resource-Efficient Tree-Based Ensemble Model Acceleration with Content-Addressable Memory
Yi-Chun Liao, Chieh-Lin Tsai, Yuan-Hao Chang +3
Although deep learning has demonstrated remarkable capability in learning from unstructured data, modern tree-based ensemble models remain superior in extracting relevant informati…