معرفی
Sylvain Lamprier is an Adjunct Professor affiliated with the Institute for Intelligent Systems and Robotics (ISIR) at Sorbonne University, working closely with the Machine Learning and Artificial Intelligence (MLIA) team. His research spans reinforcement learning, adversarial robustness, fairness in AI, and natural language processing.
- Specializes in robustness of deep RL agents against adversarial attacks
- Investigates fairness mechanisms without sensitive attributes
- Develops cooperative learning frameworks for language models
- Contributes to symbolic regression and query decomposition techniques
Recent work includes ensemble methods for adversarial robustness (CAp 2025), distributionally robust auto-encoding (2025), and grounding LLMs in interactive environments (ICML 2023). Publications in top venues like NeurIPS, IJCAI, and ACL reflect his interdisciplinary focus. No scientific awards or part-time status are explicitly mentioned.
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