Angelo Porrello

81 papers A* 11A 5B 2Journal 47Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ABRA: Teleporting Fine-Tuned Knowledge Across Domains for Open-Vocabulary Object Detection. CoRR Mattia Bernardi, Chiara Cappellino, Matteo Mosconi, Enver Sangineto, Angelo Porrello, Simone Calderara
2026	—	`conf`	CAMNet: Leveraging Cooperative Awareness Messages for Vehicle Trajectory Prediction. CCNC Mattia Grasselli, Angelo Porrello, Carlo Augusto Grazia
2026	J	`jnl`	Dataless Weight Disentanglement in Task Arithmetic via Kronecker-Factored Approximate Curvature. CoRR Angelo Porrello, Pietro Buzzega, Felix Dangel, Thomas Sommariva, Riccardo Salami, Lorenzo Bonicelli, Simone Calderara
2026	J	`jnl`	EARL: Embracing amnesic replay for learning with noisy labels. Pattern Recognit. Monica Millunzi, Lorenzo Bonicelli, Angelo Porrello, Jacopo Credi, Petter N. Kolm, Simone Calderara
2026	J	`jnl`	Transporting Task Vectors across Different Architectures without Training. CoRR Filippo Rinaldi, Aniello Panariello, Giacomo Salici, Angelo Porrello, Simone Calderara
2025	A*	`conf`	A Second-Order Perspective on Model Compositionality and Incremental Learning. ICLR Angelo Porrello, Lorenzo Bonicelli, Pietro Buzzega, Monica Millunzi, Simone Calderara, Rita Cucchiara
2025	J	`jnl`	Accurate and Efficient Low-Rank Model Merging in Core Space. CoRR Aniello Panariello, Daniel Marczak, Simone Magistri, Angelo Porrello, Bartlomiej Twardowski, Andrew D. Bagdanov, Simone Calderara, Joost van de Weijer
2025	J	`jnl`	CAMNet: Leveraging Cooperative Awareness Messages for Vehicle Trajectory Prediction. CoRR Mattia Grasselli, Angelo Porrello, Carlo Augusto Grazia
2025	J	`jnl`	DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection. CoRR Chiara Cappellino, Gianluca Mancusi, Matteo Mosconi, Angelo Porrello, Simone Calderara, Rita Cucchiara
2025	J	`jnl`	Gradient-Sign Masking for Task Vector Transport Across Pre-Trained Models. CoRR Filippo Rinaldi, Aniello Panariello, Giacomo Salici, Fengyuan Liu, Marco Ciccone, Angelo Porrello, Simone Calderara
2025	—	`conf`	How to Train Your Metamorphic Deep Neural Network. ICIAP (2) Thomas Sommariva, Simone Calderara, Angelo Porrello
2025	J	`jnl`	How to Train Your Metamorphic Deep Neural Network. CoRR Thomas Sommariva, Simone Calderara, Angelo Porrello
2025	J	`jnl`	Modular Embedding Recomposition for Incremental Learning. CoRR Aniello Panariello, Emanuele Frascaroli, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara
2025	J	`jnl`	Monocular per-object distance estimation with Masked Object Modeling. Comput. Vis. Image Underst. Aniello Panariello, Gianluca Mancusi, Fedy Haj Ali, Angelo Porrello, Simone Calderara, Rita Cucchiara
2025	J	`jnl`	Rethinking Layer-wise Model Merging through Chain of Merges. CoRR Pietro Buzzega, Riccardo Salami, Angelo Porrello, Simone Calderara
2025	A	`conf`	Towards Unbiased Continual Learning: Avoiding Forgetting in the Presence of Spurious Correlations. WACV Giacomo Capitani, Lorenzo Bonicelli, Angelo Porrello, Federico Bolelli, Simone Calderara, Elisa Ficarra
2025	—	`conf`	U-Net Transplant: The Role of Pre-training for Model Merging in 3D Medical Segmentation. MICCAI (16) Luca Lumetti, Giacomo Capitani, Elisa Ficarra, Simone Calderara, Costantino Grana, Angelo Porrello, Federico Bolelli
2025	A*	`conf`	Update Your Transformer to the Latest Release: Re-Basin of Task Vectors. ICML Filippo Rinaldi, Giacomo Capitani, Lorenzo Bonicelli, Donato Crisostomi, Federico Bolelli, Elisa Ficarra, Emanuele Rodolà, Simone Calderara, Angelo Porrello
2025	J	`jnl`	Update Your Transformer to the Latest Release: Re-Basin of Task Vectors. CoRR Filippo Rinaldi, Giacomo Capitani, Lorenzo Bonicelli, Donato Crisostomi, Federico Bolelli, Elisa Ficarra, Emanuele Rodolà, Simone Calderara, Angelo Porrello
2024	J	`jnl`	A Graph-Based Multi-Scale Approach With Knowledge Distillation for WSI Classification. IEEE Trans. Medical Imaging Gianpaolo Bontempo, Federico Bolelli, Angelo Porrello, Simone Calderara, Elisa Ficarra
2024	J	`jnl`	A Second-Order perspective on Compositionality and Incremental Learning. CoRR Angelo Porrello, Lorenzo Bonicelli, Pietro Buzzega, Monica Millunzi, Simone Calderara, Rita Cucchiara
2024	—	`conf`	An Attention-Based Representation Distillation Baseline for Multi-label Continual Learning. LOD (1) Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara
2024	J	`jnl`	An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning. CoRR Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara
2024	A	`conf`	CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning. BMVC Emanuele Frascaroli, Aniello Panariello, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara
2024	J	`jnl`	CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning. CoRR Emanuele Frascaroli, Aniello Panariello, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara
2024	A	`conf`	ClusterFix: A Cluster-Based Debiasing Approach without Protected-Group Supervision. WACV Giacomo Capitani, Federico Bolelli, Angelo Porrello, Simone Calderara, Elisa Ficarra
2024	J	`jnl`	DistFormer: Enhancing Local and Global Features for Monocular Per-Object Distance Estimation. CoRR Aniello Panariello, Gianluca Mancusi, Fedy Haj Ali, Angelo Porrello, Simone Calderara, Rita Cucchiara
2024	A*	`conf`	Is Multiple Object Tracking a Matter of Specialization? NeurIPS Gianluca Mancusi, Mattia Bernardi, Aniello Panariello, Angelo Porrello, Rita Cucchiara, Simone Calderara
2024	J	`jnl`	Is Multiple Object Tracking a Matter of Specialization? CoRR Gianluca Mancusi, Mattia Bernardi, Aniello Panariello, Angelo Porrello, Rita Cucchiara, Simone Calderara
2024	—	`conf`	Mask and Compress: Efficient Skeleton-Based Action Recognition in Continual Learning. ICPR (9) Matteo Mosconi, Andriy Sorokin, Aniello Panariello, Angelo Porrello, Jacopo Bonato, Marco Cotogni, Luigi Sabetta, Simone Calderara, Rita Cucchiara
2024	J	`jnl`	Mask and Compress: Efficient Skeleton-based Action Recognition in Continual Learning. CoRR Matteo Mosconi, Andriy Sorokin, Aniello Panariello, Angelo Porrello, Jacopo Bonato, Marco Cotogni, Luigi Sabetta, Simone Calderara, Rita Cucchiara
2024	A	`conf`	May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels. BMVC Monica Millunzi, Lorenzo Bonicelli, Angelo Porrello, Jacopo Credi, Petter N. Kolm, Simone Calderara
2024	J	`jnl`	May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels. CoRR Monica Millunzi, Lorenzo Bonicelli, Angelo Porrello, Jacopo Credi, Petter N. Kolm, Simone Calderara
2024	A*	`conf`	Saliency-driven Experience Replay for Continual Learning. NeurIPS Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi, Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara, Simone Palazzo, Concetto Spampinato
2024	J	`jnl`	Selective Attention-based Modulation for Continual Learning. CoRR Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi, Matteo Boschini, Angelo Porrello, Simone Calderara, Simone Palazzo, Concetto Spampinato
2024	A*	`conf`	Self-Labeling the Job Shop Scheduling Problem. NeurIPS Andrea Corsini, Angelo Porrello, Simone Calderara, Mauro Dell'Amico
2024	J	`jnl`	Self-Labeling the Job Shop Scheduling Problem. CoRR Andrea Corsini, Angelo Porrello, Simone Calderara, Mauro Dell'Amico
2024	—	`conf`	Semantic Residual Prompts for Continual Learning. ECCV (61) Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Enver Sangineto, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara
2024	J	`jnl`	Semantic Residual Prompts for Continual Learning. CoRR Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Enver Sangineto, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara
2024	—	`conf`	Trajectory Forecasting Through Low-Rank Adaptation of Discrete Latent Codes. ICPR (16) Riccardo Benaglia, Angelo Porrello, Pietro Buzzega, Simone Calderara, Rita Cucchiara
2024	J	`jnl`	Trajectory Forecasting through Low-Rank Adaptation of Discrete Latent Codes. CoRR Riccardo Benaglia, Angelo Porrello, Pietro Buzzega, Simone Calderara, Rita Cucchiara
2023	—	`conf`	Avoiding the Pitfalls on Stock Market: Challenges and Solutions in Developing Quantitative Strategies. Ital-IA Marco Bergianti, Nicola Cioffo, Francesco Del Buono, Matteo Paganelli, Angelo Porrello
2023	—	`conf`	Buffer-MIL: Robust Multi-instance Learning with a Buffer-Based Approach. ICIAP (2) Gianpaolo Bontempo, Luca Lumetti, Angelo Porrello, Federico Bolelli, Simone Calderara, Elisa Ficarra
2023	J	`jnl`	Class-Incremental Continual Learning Into the eXtended DER-Verse. IEEE Trans. Pattern Anal. Mach. Intell. Matteo Boschini, Lorenzo Bonicelli, Pietro Buzzega, Angelo Porrello, Simone Calderara
2023	—	`conf`	DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs. MICCAI (1) Gianpaolo Bontempo, Angelo Porrello, Federico Bolelli, Simone Calderara, Elisa Ficarra
2023	A*	`conf`	Input Perturbation Reduces Exposure Bias in Diffusion Models. ICML Mang Ning, Enver Sangineto, Angelo Porrello, Simone Calderara, Rita Cucchiara
2023	J	`jnl`	Input Perturbation Reduces Exposure Bias in Diffusion Models. CoRR Mang Ning, Enver Sangineto, Angelo Porrello, Simone Calderara, Rita Cucchiara
2023	J	`jnl`	On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning. CoRR Lorenzo Bonicelli, Matteo Boschini, Emanuele Frascaroli, Angelo Porrello, Matteo Pennisi, Giovanni Bellitto, Simone Palazzo, Concetto Spampinato, Simone Calderara
2023	J	`jnl`	Spotting Virus From Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks. IEEE Trans. Geosci. Remote. Sens. Lorenzo Bonicelli, Angelo Porrello, Stefano Vincenzi, Carla Ippoliti, Federica Iapaolo, Annamaria Conte, Simone Calderara
2023	A*	`conf`	TrackFlow: Multi-Object Tracking with Normalizing Flows. ICCV Gianluca Mancusi, Aniello Panariello, Angelo Porrello, Matteo Fabbri, Simone Calderara, Rita Cucchiara
2023	J	`jnl`	TrackFlow: Multi-Object Tracking with Normalizing Flows. CoRR Gianluca Mancusi, Aniello Panariello, Angelo Porrello, Matteo Fabbri, Simone Calderara, Rita Cucchiara
2023	—	`conf`	Where Research meets Industry: New Challenges and Opportunities at AImageLab. Ital-IA Rita Cucchiara, Lorenzo Baraldi, Simone Calderara, Marcella Cornia, Matteo Fabbri, Costantino Grana, Angelo Porrello, Roberto Vezzani
2022	J	`jnl`	Class-Incremental Continual Learning into the eXtended DER-verse. CoRR Matteo Boschini, Lorenzo Bonicelli, Pietro Buzzega, Angelo Porrello, Simone Calderara
2022	—	`conf`	Consistency-Based Self-supervised Learning for Temporal Anomaly Localization. ECCV Workshops (5) Aniello Panariello, Angelo Porrello, Simone Calderara, Rita Cucchiara
2022	J	`jnl`	Consistency-based Self-supervised Learning for Temporal Anomaly Localization. CoRR Aniello Panariello, Angelo Porrello, Simone Calderara, Rita Cucchiara
2022	J	`jnl`	Continual semi-supervised learning through contrastive interpolation consistency. Pattern Recognit. Lett. Matteo Boschini, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara
2022	A*	`conf`	How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting. CVPR Alessio Monti, Angelo Porrello, Simone Calderara, Pasquale Coscia, Lamberto Ballan, Rita Cucchiara
2022	J	`jnl`	How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting. CoRR Alessio Monti, Angelo Porrello, Simone Calderara, Pasquale Coscia, Lamberto Ballan, Rita Cucchiara
2022	A*	`conf`	On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning. NeurIPS Lorenzo Bonicelli, Matteo Boschini, Angelo Porrello, Concetto Spampinato, Simone Calderara
2022	J	`jnl`	On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning. CoRR Lorenzo Bonicelli, Matteo Boschini, Angelo Porrello, Concetto Spampinato, Simone Calderara
2022	J	`jnl`	Spotting Virus from Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks. CoRR Lorenzo Bonicelli, Angelo Porrello, Stefano Vincenzi, Carla Ippoliti, Federica Iapaolo, Annamaria Conte, Simone Calderara
2022	—	`conf`	Transfer Without Forgetting. ECCV (23) Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Concetto Spampinato, Simone Calderara
2022	J	`jnl`	Transfer without Forgetting. CoRR Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Concetto Spampinato, Simone Calderara
2021	J	`jnl`	Weakly Supervised Continual Learning. CoRR Matteo Boschini, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara
2020	A*	`conf`	Dark Experience for General Continual Learning: a Strong, Simple Baseline. NeurIPS Pietro Buzzega, Matteo Boschini, Angelo Porrello, Davide Abati, Simone Calderara
2020	J	`jnl`	Dark Experience for General Continual Learning: a Strong, Simple Baseline. CoRR Pietro Buzzega, Matteo Boschini, Angelo Porrello, Davide Abati, Simone Calderara
2020	J	`jnl`	Predicting WNV Circulation in Italy Using Earth Observation Data and Extreme Gradient Boosting Model. Remote. Sens. Luca Candeloro, Carla Ippoliti, Federica Iapaolo, Federica Monaco, Daniela Morelli, Roberto Cuccu, Pietro Fronte, Simone Calderara, Stefano Vincenzi, Angelo Porrello, Nicola D'Alterio, Paolo Calistri, Annamaria Conte
2020	B	`conf`	Rethinking Experience Replay: a Bag of Tricks for Continual Learning. ICPR Pietro Buzzega, Matteo Boschini, Angelo Porrello, Simone Calderara
2020	J	`jnl`	Rethinking Experience Replay: a Bag of Tricks for Continual Learning. CoRR Pietro Buzzega, Matteo Boschini, Angelo Porrello, Simone Calderara
2020	—	`conf`	Robust Re-Identification by Multiple Views Knowledge Distillation. ECCV (10) Angelo Porrello, Luca Bergamini, Simone Calderara
2020	J	`jnl`	Robust Re-Identification by Multiple Views Knowledge Distillation. CoRR Angelo Porrello, Luca Bergamini, Simone Calderara
2020	B	`conf`	The color out of space: learning self-supervised representations for Earth Observation imagery. ICPR Stefano Vincenzi, Angelo Porrello, Pietro Buzzega, Marco Cipriano, Pietro Fronte, Roberto Cuccu, Carla Ippoliti, Annamaria Conte, Simone Calderara
2020	J	`jnl`	The color out of space: learning self-supervised representations for Earth Observation imagery. CoRR Stefano Vincenzi, Angelo Porrello, Pietro Buzzega, Marco Cipriano, Pietro Fronte, Roberto Cuccu, Carla Ippoliti, Annamaria Conte, Simone Calderara
2019	A	`conf`	Classifying Signals on Irregular Domains via Convolutional Cluster Pooling. AISTATS Angelo Porrello, Davide Abati, Simone Calderara, Rita Cucchiara
2019	J	`jnl`	Classifying Signals on Irregular Domains via Convolutional Cluster Pooling. CoRR Angelo Porrello, Davide Abati, Simone Calderara, Rita Cucchiara
2019	A*	`conf`	Latent Space Autoregression for Novelty Detection. CVPR Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara
2019	J	`jnl`	Multi-views Embedding for Cattle Re-identification. CoRR Luca Bergamini, Angelo Porrello, Andrea Capobianco Dondona, Ercole Del Negro, Mauro Mattioli, Nicola D'Alterio, Simone Calderara
2019	—	`conf`	Spotting Insects from Satellites: Modeling the Presence of Culicoides Imicola Through Deep CNNs. SITIS Angelo Porrello, Stefano Vincenzi, Pietro Buzzega, Simone Calderara, Annamaria Conte, Carla Ippoliti, Luca Candeloro, Alessio Di Lorenzo, Andrea Capobianco Dondona
2019	J	`jnl`	Spotting insects from satellites: modeling the presence of Culicoides imicola through Deep CNNs. CoRR Stefano Vincenzi, Angelo Porrello, Pietro Buzzega, Annamaria Conte, Carla Ippoliti, Luca Candeloro, Alessio Di Lorenzo, Andrea Capobianco Dondona, Simone Calderara
2018	J	`jnl`	AND: Autoregressive Novelty Detectors. CoRR Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara
2018	—	`conf`	Multi-views Embedding for Cattle Re-identification. SITIS Luca Bergamini, Angelo Porrello, Andrea Capobianco Dondona, Ercole Del Negro, Mauro Mattioli, Nicola D'Alterio, Simone Calderara