Scholar

Jeremie MARY

Google Scholar ID: T3dQRjAAAAAJ

Criteo AI Lab

Machine Learning

Citations & Impact

All-time

Citations

1,776

H-index

i10-index

Publications

Co-authors

Contact

Publications

20 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

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.

Co-authors

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Co-authors: 0 (list not available)