Magistri, Simone

7 publications

NeurIPS 2025 Accurate and Efficient Low-Rank Model Merging in Core Space Aniello Panariello, Daniel Marczak, Simone Magistri, Angelo Porrello, Bartłomiej Twardowski, Andrew D. Bagdanov, Simone Calderara, Joost van de Weijer

NeurIPS 2025 Covariances for Free: Exploiting Mean Distributions for Training-Free Federated Learning Dipam Goswami, Simone Magistri, Kai Wang, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer

ICML 2025 No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces Daniel Marczak, Simone Magistri, Sebastian Cygert, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost Van De Weijer

CoLLAs 2024 An Empirical Analysis of Forgetting in Pre-Trained Models with Incremental Low-Rank Updates Albin Soutif, Simone Magistri, Joost van de Weijer, Andrew D. Bagdanov

ICLR 2024 Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning Simone Magistri, Tomaso Trinci, Albin Soutif, Joost van de Weijer, Andrew D. Bagdanov

ECCVW 2024 How Green Is Continual Learning, Really? Analyzing the Energy Consumption in Continual Training of Vision Foundation Models Tomaso Trinci, Simone Magistri, Roberto Verdecchia, Andrew D. Bagdanov

ECCVW 2024 Incremental and Decremental Continual Learning for Privacy-Preserving Video Recognition Lorenzo Caselli, Simone Magistri, Tommaso Bianconcini, Andrea Benericetti, Douglas Coimbra de Andrade, Andrew D. Bagdanov