معرفی
Benjamin Negrevergne is an Associate Professor at the LAMSADE laboratory within Paris Dauphine University (PSL Research University), actively engaged in Machine Learning research. He co-leads the MILES research team and serves as co-director of the IASD Master's Program in AI and Data Science. He also contributes to PSL's computer science graduate program and is launching Nautia, a startup focused on reinforcement learning for sailing automation.
His research spans Generative Modeling, Adversarial Machine Learning, and Constraint Programming, with over 15 recent publications in top conferences (NeurIPS, ICML, ACL). He has advised notable Ph.D. students including Alexandre Araujo (postdoc at NYU), Boris Doux (AWS), Alexandre Vérine (École Normale), Lucas Gnecco (ANR project DELCO), and Kunhao Zheng (Meta/FAIR).
Key article trends include improving language model diversity, adversarial robustness, diffusion model optimization, and precision-recall metrics for generative systems. His work often combines theoretical rigor with practical applications in cybersecurity, game AI, and parallel computing.
Benjamin holds a Ph.D. from the University of Grenoble (2011) with a thesis on parallel pattern mining algorithms. He collaborates with researchers like Yann Chevaleyre, Gabriel Synnaeve, and Tristan Cazenave, with publications in journals such as DMKD and KAIS.
