Pietro Buzzega

According to our database, Pietro Buzzega authored at least 14 papers between 2019 and 2025.

Collaborative distances:

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

2025

Intrinsic Training Signals for Federated Learning Aggregation.

Cosimo Fiorini, Matteo Mosconi, Pietro Buzzega, Riccardo Salami, Simone Calderara

CoRR, July, 2025

Closed-Form Merging of Parameter-Efficient Modules for Federated Continual Learning.

Riccardo Salami, Pietro Buzzega, Matteo Mosconi, Jacopo Bonato, Luigi Sabetta, Simone Calderara

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Reducing Bias in Federated Class-Incremental Learning with Hierarchical Generative Prototypes.

Riccardo Salami, Pietro Buzzega, Matteo Mosconi, Mattia Verasani, Simone Calderara

CoRR, 2024

A Second-Order perspective on Compositionality and Incremental Learning.

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

CoRR, 2024

Trajectory Forecasting Through Low-Rank Adaptation of Discrete Latent Codes.

Riccardo Benaglia, Angelo Porrello, Pietro Buzzega, Simone Calderara, Rita Cucchiara

Proceedings of the Pattern Recognition - 27th International 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

2022

Continual semi-supervised learning through contrastive interpolation consistency.

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

Pattern Recognit. Lett., 2022

2021

Weakly Supervised Continual Learning.

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

CoRR, 2021

2020

Dark Experience for General Continual Learning: a Strong, Simple Baseline.

Pietro Buzzega, Matteo Boschini, Angelo Porrello, Davide Abati, Simone Calderara

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

The color out of space: learning self-supervised representations for Earth Observation imagery.

Stefano Vincenzi, Angelo Porrello, Pietro Buzzega, Marco Cipriano, Pietro Fronte, Roberto Cuccu, Carla Ippoliti, Annamaria Conte, Simone Calderara

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Rethinking Experience Replay: a Bag of Tricks for Continual Learning.

Pietro Buzzega, Matteo Boschini, Angelo Porrello, Simone Calderara

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Spotting Insects from Satellites: Modeling the Presence of Culicoides Imicola Through Deep CNNs.

Angelo Porrello, Stefano Vincenzi, Pietro Buzzega, Simone Calderara, Annamaria Conte, Carla Ippoliti, Luca Candeloro, Alessio Di Lorenzo, Andrea Capobianco Dondona

Proceedings of the 15th International Conference on Signal-Image Technology & Internet-Based Systems, 2019