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 (SITIS, 2019)

Rethinking Experience Replay: a Bag of Tricks for Continual Learning. - Pietro Buzzega; Matteo Boschini; Angelo Porrello; Simone Calderara (ICPR, 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 (ICPR, 2020)

Dark Experience for General Continual Learning: a Strong, Simple Baseline. - Pietro Buzzega; Matteo Boschini; Angelo Porrello; Davide Abati; Simone Calderara (NeurIPS, 2020)

Weakly Supervised Continual Learning. - Matteo Boschini; Pietro Buzzega; Lorenzo Bonicelli; Angelo Porrello; Simone Calderara (CoRR, 2021)

Continual semi-supervised learning through contrastive interpolation consistency. - Matteo Boschini; Pietro Buzzega; Lorenzo Bonicelli; Angelo Porrello; Simone Calderara (Pattern Recognit. Lett., 2022)

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., 2023)

CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning. - Emanuele Frascaroli; Aniello Panariello; Pietro Buzzega; Lorenzo Bonicelli; Angelo Porrello; Simone Calderara (BMVC, 2024)

Trajectory Forecasting Through Low-Rank Adaptation of Discrete Latent Codes. - Riccardo Benaglia; Angelo Porrello; Pietro Buzzega; Simone Calderara; Rita Cucchiara (ICPR (16), 2024)

A Second-Order perspective on Compositionality and Incremental Learning. - Angelo Porrello; Lorenzo Bonicelli; Pietro Buzzega; Monica Millunzi; Simone Calderara; Rita Cucchiara (CoRR, 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 Model Compositionality and Incremental Learning. - Angelo Porrello; Lorenzo Bonicelli; Pietro Buzzega; Monica Millunzi; Simone Calderara; Rita Cucchiara (ICLR, 2025)

Closed-Form Merging of Parameter-Efficient Modules for Federated Continual Learning. - Riccardo Salami; Pietro Buzzega; Matteo Mosconi; Jacopo Bonato; Luigi Sabetta; Simone Calderara (ICLR, 2025)

Intrinsic Training Signals for Federated Learning Aggregation. - Cosimo Fiorini; Matteo Mosconi; Pietro Buzzega; Riccardo Salami; Simone Calderara (CoRR, 2025)