On the importance of cross-task features for class-incremental learning. - Albin Soutif-Cormerais; Marc Masana; Joost van de Weijer 001; Bartlomiej Twardowski (CoRR, 2021)

Improving Online Continual Learning Performance and Stability with Temporal Ensembles. - Albin Soutif-Cormerais; Antonio Carta; Joost van de Weijer 001 (CoLLAs, 2023)

A Comprehensive Empirical Evaluation on Online Continual Learning. - Albin Soutif-Cormerais; Antonio Carta; Andrea Cossu; Julio Hurtado; Vincenzo Lomonaco; Joost van de Weijer 001; Hamed Hemati (ICCV (Workshops), 2023)

Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning. - Dipam Goswami; Albin Soutif-Cormerais; Yuyang Liu; Sandesh Kamath; Bartlomiej Twardowski; Joost van de Weijer 001 (CVPR, 2024)

The Expanding Scope of the Stability Gap: Unveiling its Presence in Joint Incremental Learning of Homogeneous Tasks. - Sandesh Kamath; Albin Soutif-Cormerais; Joost van de Weijer 001; Bogdan Raducanu (CVPR Workshops, 2024)

Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental Learning. - Simone Magistri; Tomaso Trinci; Albin Soutif-Cormerais; Joost van de Weijer 001; Andrew D. Bagdanov (ICLR, 2024)

An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates. - Albin Soutif-Cormerais; Simone Magistri; Joost van de Weijer 001; Andrew D. Bagdanov (CoRR, 2024)

EFC++: Elastic Feature Consolidation with Prototype Re-balancing for Cold Start Exemplar-free Incremental Learning. - Simone Magistri; Tomaso Trinci; Albin Soutif-Cormerais; Joost van de Weijer 001; Andrew D. Bagdanov (CoRR, 2025)