Équipe de recherche :Research Team:
Signal, Statistique et Apprentissage (S2A)Signal, Statistics and Learning (S2A)
Laboratoire :Laboratory:
Laboratoire Traitement et Communication de l'Information (LTCI)Information Processing and Communication Laboratory (LTCI)
Département :Department:
Image, Données, Signal (IDS)Image, Data, Signal (IDS)
Quentin Bouniot is an Assistant Professor and Hi!Paris Chair Holder at Télécom Paris, Institut Polytechnique de Paris. He is a member of the LTCI lab, in the S2A team. Prior to this, he was a post-doctoral researcher in the Explainable Machine Learning group , at the Technical University of Munich and Helmholtz Munich.
Research activities
His main line of research revolves around Deep Representation Learning, and his current research interests include:
- alignment of representation between modalities, mainly vision-language
- explainability, robustness, uncertainty quantification
- learning with limited labeled data
Teaching activities
- Recent Advances in Responsible AI (M2 Data Science)
