Scholar
Youssef Mroueh
Google Scholar ID: 6F90JHgAAAAJ
Principal Research Scientist, IBM T.J Watson Research Center
Citations & Impact
Citations
5,138
H-index
27
i10-index
47
Publications
20
Co-authors
12
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Published multiple papers such as 'KL-Regularized RLHF with Multiple Reference Models: Exact Solutions and Sample Complexity' (NeurIPS 2025), 'Large Language Models can Become Strong Self-Detoxifiers' (ICLR 2025), etc.; holds several patents including 'Wasserstein Barycenter Model Ensembling' (US 12254390).
Research Experience
- Served as a Principal Research Scientist at IBM since 2015.
Education
- Received his PhD in Computer Science from MIT, CSAIL in February 2015, under the supervision of Professor Tomaso Poggio; obtained an engineering diploma from Ecole Polytechnique Paris France and a master's degree in Applied Mathematics from Ecole des Mines de Paris in 2011.
Background
- Research interests include Deep Learning, Machine Learning, Optimal transport, multimodal learning, Statistical Learning Theory, Computer Vision, and Artificial Intelligence. He has been a Principal Research Scientist at IBM since April 2015.
Miscellany
- Top collaborators include Mattia Rigotti, Payel Das, Pin-Yu Chen, and others.
