Lorenzo Bonicelli

According to our database, Lorenzo Bonicelli authored at least 20 papers between 2021 and 2025.

Collaborative distances:

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

2025

Update Your Transformer to the Latest Release: Re-Basin of Task Vectors.

Filippo Rinaldi, Giacomo Capitani, Lorenzo Bonicelli, Donato Crisostomi, Federico Bolelli, Elisa Ficarra, Emanuele Rodolà, Simone Calderara, Angelo Porrello

CoRR, May, 2025

Towards Unbiased Continual Learning: Avoiding Forgetting in the Presence of Spurious Correlations.

Giacomo Capitani, Lorenzo Bonicelli, Angelo Porrello, Federico Bolelli, Simone Calderara, Elisa Ficarra

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

A Second-Order Perspective on Model Compositionality and Incremental Learning.

Angelo Porrello, Lorenzo Bonicelli, Pietro Buzzega, Monica Millunzi, Simone Calderara, Rita Cucchiara

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

A Second-Order perspective on Compositionality and Incremental Learning.

Angelo Porrello, Lorenzo Bonicelli, Pietro Buzzega, Monica Millunzi, Simone Calderara, Rita Cucchiara

CoRR, 2024

Saliency-driven Experience Replay for Continual Learning.

Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi, Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara, Simone Palazzo, Concetto Spampinato

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

An Attention-Based Representation Distillation Baseline for Multi-label Continual Learning.

Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara

Proceedings of the Machine Learning, Optimization, and Data Science, 2024

Semantic Residual Prompts for Continual Learning.

Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Enver Sangineto, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara

Proceedings of the Computer Vision - ECCV 2024, 2024

Beyond the Surface: A Comprehensive Analysis of Implicit Bias in Vision-Language Models.

Giacomo Capitani, Alice Lucarini, Lorenzo Bonicelli, Federico Bolelli, Simone Calderara, Loris Vezzali, Elisa Ficarra

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels.

Monica Millunzi, Lorenzo Bonicelli, Angelo Porrello, Jacopo Credi, Petter N. Kolm, Simone Calderara

Proceedings of the 35th British Machine Vision Conference, 2024

CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning.

Emanuele Frascaroli, Aniello Panariello, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara

Proceedings of the 35th British Machine Vision Conference, 2024

2023

Class-Incremental Continual Learning Into the eXtended DER-Verse.

Matteo Boschini, Lorenzo Bonicelli, Pietro Buzzega, Angelo Porrello, Simone Calderara

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Spotting Virus From Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks.

Lorenzo Bonicelli, Angelo Porrello, Stefano Vincenzi, Carla Ippoliti, Federica Iapaolo, Annamaria Conte, Simone Calderara

IEEE Trans. Geosci. Remote. Sens., 2023

On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning.

Lorenzo Bonicelli, Matteo Boschini, Emanuele Frascaroli, Angelo Porrello, Matteo Pennisi, Giovanni Bellitto, Simone Palazzo, Concetto Spampinato, Simone Calderara

CoRR, 2023

Novel continual learning techniques on noisy label datasets.

Monica Millunzi, Lorenzo Bonicelli, Alberto Zurli, Alessio Salman, Jacopo Credi, Simone Calderara

Proceedings of the Italia Intelligenza Artificiale, 2023

2022

Continual semi-supervised learning through contrastive interpolation consistency.

Matteo Boschini, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara

Pattern Recognit. Lett., 2022

Effects of Auxiliary Knowledge on Continual Learning.

Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Lorenzo Bonicelli, Matteo Boschini, Simone Calderara, Concetto Spampinato

CoRR, 2022

On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning.

Lorenzo Bonicelli, Matteo Boschini, Angelo Porrello, Concetto Spampinato, Simone Calderara

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Effects of Auxiliary Knowledge on Continual Learning.

Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Lorenzo Bonicelli, Matteo Boschini, Simone Calderara

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Transfer Without Forgetting.

Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Concetto Spampinato, Simone Calderara

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Weakly Supervised Continual Learning.

Matteo Boschini, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara

CoRR, 2021