معرفی
Antoine Gratia is a Researcher at the University of Namur, College of Engineering, Department of Computer Science. His work focuses on optimizing deep learning models through
- Neural Architecture Search (NAS)
- Genetic Algorithms for computational efficiency
- Energy-aware optimization techniques
Research Trends: The 2024-2025 articles demonstrate a focus on balancing performance and energy consumption in CNN design. Keywords include Computer Science, Machine Learning, and Optimization, with subfields spanning Neural Architecture Search, Genetic Algorithms, and Computational Intelligence.
Academic Activities:
- Presented at ESANN 2024 (Belgium) and WIVACE 2024 (Belgium)
- Participated in summer schools including Inria-DFKI European Summer School on AI (2022) and BMW Summer School 2022
- Visited National Institute of Informatics (Tokyo) as a researcher (2023)
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