PlaStIL: Plastic and Stable Memory-Free Class-Incremental Learning. - Grégoire Petit; Adrian Popescu 001; Eden Belouadah; David Picard; Bertrand Delezoide (CoRR, 2022)

PlaStIL: Plastic and Stable Exemplar-Free Class-Incremental Learning. - Grégoire Petit; Adrian Popescu 001; Eden Belouadah; David Picard; Bertrand Delezoide (CoLLAs, 2023)

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

FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning. - Grégoire Petit; Adrian Popescu 001; Hugo Schindler; David Picard; Bertrand Delezoide (WACV, 2023)

Class-Incremental Learning in an Exemplar-Free setup. (Apprentissage incrémental par classes en environnement sans exemples passés). - Grégoire Petit (2023)

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)

FeTrIL++: Feature Translation for Exemplar-Free Class-Incremental Learning with Hill-Climbing. - Eduard Hogea; Adrian Popescu 001; Darian M. Onchis; Grégoire Petit (CoRR, 2024)

EchoDFKD: Data-Free Knowledge Distillation for Cardiac Ultrasound Segmentation Using Synthetic Data. - Grégoire Petit; Nathan Palluau; Axel Bauer; Clemens Dlaska (WACV, 2025)