Scholar
Jeremie MARY
Google Scholar ID: T3dQRjAAAAAJ
Criteo AI Lab
Citations & Impact
Citations
1,776
H-index
17
i10-index
19
Publications
20
Co-authors
0
Resume
Academic Achievements
- Published groundbreaking work on modulating early visual processing through language (NeurIPS 2017); developed innovative approaches using autoencoders for recommendation tasks; advanced the field of fairness-aware learning for continuous attributes and treatments (ICML 2019). Won Recsys & ICML challenges and organized several challenges.
Research Experience
- Currently a Research Scientist Lead at Criteo AI Lab, focusing on machine learning, recommender systems, and fair ML. Formerly an Associate Professor at Université de Lille.
Education
- PhD from University of Paris Saclay; HDR in Computer Science from Université de Lille.
Background
- Research interests include foundation models for recommender systems and 3D vision, machine learning & deep learning, fair machine learning, recommender systems, reinforcement learning, and computer vision.
Miscellany
- Committed to education and mentorship, taught advanced courses in Machine Learning and Deep Learning at Lille, ENSAE Paris, Centrale Lille, and PSL University.