Simone Magistri

According to our database, Simone Magistri authored at least 13 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Bi-Objective Optimization Based Acquisition Strategy for Batch Bayesian Global Optimization.

Francesco Carciaghi, Simone Magistri, Pierluigi Mansueto, Fabio Schoen

Comput. Optim. Appl., September, 2025

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, Andrew D. Bagdanov

CoRR, March, 2025

No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces.

Daniel Marczak, Simone Magistri, Sebastian Cygert, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer

CoRR, February, 2025

2024

Continual learning for adaptive social network identification.

Simone Magistri, Daniele Baracchi, Dasara Shullani, Andrew D. Bagdanov, Alessandro Piva

Pattern Recognit. Lett., 2024

Covariances for Free: Exploiting Mean Distributions for Federated Learning with Pre-Trained Models.

Dipam Goswami, Simone Magistri, Kai Wang, Bartlomiej Twardowski, Andrew D. Bagdanov, Joost van de Weijer

CoRR, 2024

An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates.

Albin Soutif-Cormerais, Simone Magistri, Joost van de Weijer, Andrew D. Bagdanov

CoRR, 2024

Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental Learning.

Simone Magistri, Tomaso Trinci, Albin Soutif-Cormerais, Joost van de Weijer, Andrew D. Bagdanov

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Computer Vision - ECCV 2024 Workshops, 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

Proceedings of the Computer Vision - ECCV 2024 Workshops, 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

Proceedings of the Conference on Lifelong Learning Agents, 2024

2023

Lightweight and Effective Convolutional Neural Networks for Vehicle Viewpoint Estimation From Monocular Images.

Simone Magistri, Marco Boschi, Francesco Sambo, Douglas Coimbra de Andrade, Matteo Simoncini, Luca Kubin, Leonardo Taccari, Luca De Luigi, Samuele Salti

IEEE Trans. Intell. Transp. Syst., January, 2023

Towards Continual Social Network Identification.

Simone Magistri, Daniele Baracchi, Dasara Shullani, Andrew D. Bagdanov, Alessandro Piva

Proceedings of the 11th International Workshop on Biometrics and Forensics, 2023

2020

A Lightweight Deep Learning Model for Vehicle Viewpoint Estimation from Dashcam Images.

Simone Magistri, Francesco Sambo, Fabio Schoen, Douglas Coimbra de Andrade, Matteo Simoncini, Stefano Caprasecca, Luca Kubin, Luca Bravi, Leonardo Taccari

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020