Porrello, Angelo

19 publications

ICLR 2025 A Second-Order Perspective on Model Compositionality and Incremental Learning Angelo Porrello, Lorenzo Bonicelli, Pietro Buzzega, Monica Millunzi, Simone Calderara, Rita Cucchiara

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 DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection Chiara Cappellino, Gianluca Mancusi, Matteo Mosconi, Angelo Porrello, Simone Calderara, Rita Cucchiara

WACV 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

ICML 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

WACV 2024 ClusterFix: A Cluster-Based Debiasing Approach Without Protected-Group Supervision Giacomo Capitani, Federico Bolelli, Angelo Porrello, Simone Calderara, Elisa Ficarra

NeurIPS 2024 Is Multiple Object Tracking a Matter of Specialization? Gianluca Mancusi, Mattia Bernardi, Aniello Panariello, Angelo Porrello, Rita Cucchiara, Simone Calderara

NeurIPS 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

NeurIPS 2024 Self-Labeling the Job Shop Scheduling Problem Andrea Corsini, Angelo Porrello, Simone Calderara, Mauro Dell'Amico

ECCV 2024 Semantic Residual Prompts for Continual Learning Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Enver Sangineto, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara

ICML 2023 Input Perturbation Reduces Exposure Bias in Diffusion Models Mang Ning, Enver Sangineto, Angelo Porrello, Simone Calderara, Rita Cucchiara

ICCV 2023 TrackFlow: Multi-Object Tracking with Normalizing Flows Gianluca Mancusi, Aniello Panariello, Angelo Porrello, Matteo Fabbri, Simone Calderara, Rita Cucchiara

ECCVW 2022 Consistency-Based Self-Supervised Learning for Temporal Anomaly Localization Aniello Panariello, Angelo Porrello, Simone Calderara, Rita Cucchiara

CVPR 2022 How Many Observations Are Enough? Knowledge Distillation for Trajectory Forecasting Alessio Monti, Angelo Porrello, Simone Calderara, Pasquale Coscia, Lamberto Ballan, Rita Cucchiara

NeurIPS 2022 On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning Lorenzo Bonicelli, Matteo Boschini, Angelo Porrello, Concetto Spampinato, Simone Calderara

ECCV 2022 Transfer Without Forgetting Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Concetto Spampinato, Simone Calderara

NeurIPS 2020 Dark Experience for General Continual Learning: A Strong, Simple Baseline Pietro Buzzega, Matteo Boschini, Angelo Porrello, Davide Abati, Simone Calderara

ECCV 2020 Robust Re-Identification by Multiple Views Knowledge Distillation Angelo Porrello, Luca Bergamini, Simone Calderara

AISTATS 2019 Classifying Signals on Irregular Domains via Convolutional Cluster Pooling Angelo Porrello, Davide Abati, Simone Calderara, Rita Cucchiara