Scholar
Eva Feillet
Google Scholar ID: ocNUoF8AAAAJ
MCF @ LISN, Université Paris-Saclay
Citations & Impact
Citations
21
H-index
2
i10-index
1
Publications
11
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published multiple papers such as 'A Reality Check on Pre-training for Exemplar-free Class-Incremental Learning' at WACV 2025, 'Recommendation of data-free class-incremental learning algorithms by simulating future data' at ICPR 2024, etc.
Research Experience
- Former postdoctoral researcher in frugal deep learning at Université Paris-Dauphine, working with Pr. Alexandre Allauzen in the MILES team of LAMSADE laboratory; part of the SHARP research project, funded by the France 2030 program and managed by the ANR in the context of PEPR IA.
Education
- PhD in continual learning from CEA-list / CentraleSupélec MICS, under the direction of Pr. Céline Hudelot (CentraleSupélec MICS), and supervised by Dr. Adrian Popescu (CEA-list) and Dr. Marina Reyboz (CEA-list); holds an engineering degree from CentraleSupélec Engineering school (M.Sc. in AI).
Background
- Currently an Associate Professor (Maître de Conférences) at Paris-Saclay University (UFR Sciences d'Orsay). She is a member of the STL department at LISN laboratory, with research interests in resource-efficient training of deep neural networks, visual representation learning and semantic aspects in computer vision, and speech processing.
Miscellany
- Can be contacted via email or LinkedIn, and her GitHub and Google Scholar profiles are available.
Co-authors