معرفی
Louis Hauseux is a permanent researcher at Inria Sophia Antipolis, actively contributing to the NEO team through publications and conference presentations. His work spans machine learning, distributed systems, and mathematical modeling.
- Affiliation: Inria Sophia Antipolis
- Team: NEO
Research Interests include federated learning, network optimization, and topological data analysis. Recent work explores
- Bayesian ensemble methods for one-shot federated learning
- Stochastic geometry in RIS-assisted cellular networks
- Hypergraphs for hierarchical clustering
- Graph-based approaches to galaxy filament extraction
Article Trends show a focus on distributed learning frameworks, geometric/topological modeling in machine learning, and applications to both telecommunications and astrophysics. His 2025 publications emphasize sustainability and optimal control solutions.
Labs & Teams: Affiliated with the NEO (Networks and Optimization) team at Inria Sophia Antipolis, focusing on algorithm design and system-level optimizations.
