AdvisIL - A Class-Incremental Learning Advisor. - Eva Feillet; Grégoire Petit; Adrian Popescu 001; Marina Reyboz; Céline Hudelot (WACV, 2023)

Recommendation of Data-Free Class-Incremental Learning Algorithms by Simulating Future Data. - Eva Feillet; Adrian Popescu 001; Céline Hudelot (ICPR (26), 2024)

An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning. - Grégoire Petit; Michaël Soumm; Eva Feillet; Adrian Popescu 001; Bertrand Delezoide; David Picard; Céline Hudelot (WACV, 2024)

Analysis and Recommendation Methods for Class-Incremental Learning. (Analyse et méthodes de recommendation pour l'apprentissage incrémental par classe). - Eva Feillet (2024)

A Reality Check on Pre-training for Exemplar-free Class-Incremental Learning. - Eva Feillet; Adrian Popescu 001; Céline Hudelot (WACV, 2025)

Temporal Dynamics in Visual Data: Analyzing the Impact of Time on Classification Accuracy. - Tom Pégeot; Eva Feillet; Adrian Popescu 001; Inna Kucher; Bertrand Delezoide (WACV, 2025)

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics. - Alex Colagrande; Paul Caillon; Eva Feillet; Alexandre Allauzen (CoRR, 2025)