Multi-views Embedding for Cattle Re-identification. - Luca Bergamini; Angelo Porrello; Andrea Capobianco Dondona; Ercole Del Negro; Mauro Mattioli; Nicola D'Alterio; Simone Calderara (SITIS, 2018)

AND: Autoregressive Novelty Detectors. - Davide Abati; Angelo Porrello; Simone Calderara; Rita Cucchiara (CoRR, 2018)

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

Latent Space Autoregression for Novelty Detection. - Davide Abati; Angelo Porrello; Simone Calderara; Rita Cucchiara (CVPR, 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 (SITIS, 2019)

Robust Re-Identification by Multiple Views Knowledge Distillation. - Angelo Porrello; Luca Bergamini; Simone Calderara (ECCV (10), 2020)

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)

Predicting WNV Circulation in Italy Using Earth Observation Data and Extreme Gradient Boosting Model. - 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; et al. (Remote. Sens., 2020)

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

How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting. - Alessio Monti; Angelo Porrello; Simone Calderara; Pasquale Coscia; Lamberto Ballan; Rita Cucchiara (CVPR, 2022)

Transfer Without Forgetting. - Matteo Boschini; Lorenzo Bonicelli; Angelo Porrello; Giovanni Bellitto; Matteo Pennisi; Simone Palazzo; Concetto Spampinato; Simone Calderara (ECCV (23), 2022)

Consistency-Based Self-supervised Learning for Temporal Anomaly Localization. - Aniello Panariello; Angelo Porrello; Simone Calderara; Rita Cucchiara (ECCV Workshops (5), 2022)

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

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

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

Buffer-MIL: Robust Multi-instance Learning with a Buffer-Based Approach. - Gianpaolo Bontempo; Luca Lumetti; Angelo Porrello; Federico Bolelli; Simone Calderara; Elisa Ficarra (ICIAP (2), 2023)

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

Avoiding the Pitfalls on Stock Market: Challenges and Solutions in Developing Quantitative Strategies. - Marco Bergianti; Nicola Cioffo; Francesco Del Buono; Matteo Paganelli; Angelo Porrello (Ital-IA, 2023)

Where Research meets Industry: New Challenges and Opportunities at AImageLab. - Rita Cucchiara; Lorenzo Baraldi 001; Simone Calderara; Marcella Cornia; Matteo Fabbri; Costantino Grana; Angelo Porrello; Roberto Vezzani (Ital-IA, 2023)

DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs. - Gianpaolo Bontempo; Angelo Porrello; Federico Bolelli; Simone Calderara; Elisa Ficarra (MICCAI (1), 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)

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)

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)

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 (BMVC, 2024)

Semantic Residual Prompts for Continual Learning. - Martin Menabue; Emanuele Frascaroli; Matteo Boschini; Enver Sangineto; Lorenzo Bonicelli; Angelo Porrello; Simone Calderara (ECCV (61), 2024)

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

Mask and Compress: Efficient Skeleton-Based Action Recognition in Continual Learning. - Matteo Mosconi; Andriy Sorokin; Aniello Panariello; Angelo Porrello; Jacopo Bonato; Marco Cotogni; Luigi Sabetta; Simone Calderara; Rita Cucchiara (ICPR (9), 2024)

An Attention-Based Representation Distillation Baseline for Multi-label Continual Learning. - Martin Menabue; Emanuele Frascaroli; Matteo Boschini; Lorenzo Bonicelli; Angelo Porrello; Simone Calderara (LOD (1), 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 (NeurIPS, 2024)

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

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

DistFormer: Enhancing Local and Global Features for Monocular Per-Object Distance Estimation. - Aniello Panariello; Gianluca Mancusi; Fedy Haj Ali; Angelo Porrello; Simone Calderara; Rita Cucchiara (CoRR, 2024)

Selective Attention-based Modulation for Continual Learning. - Giovanni Bellitto; Federica Proietto Salanitri; Matteo Pennisi; Matteo Boschini; Angelo Porrello; Simone Calderara; Simone Palazzo; Concetto Spampinato (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)

A Graph-Based Multi-Scale Approach With Knowledge Distillation for WSI Classification. - Gianpaolo Bontempo; Federico Bolelli; Angelo Porrello; Simone Calderara; Elisa Ficarra (IEEE Trans. Medical Imaging, 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)

Towards Unbiased Continual Learning: Avoiding Forgetting in the Presence of Spurious Correlations. - Giacomo Capitani; Lorenzo Bonicelli; Angelo Porrello; Federico Bolelli; Simone Calderara; Elisa Ficarra (WACV, 2025)

Monocular per-object distance estimation with Masked Object Modeling. - Aniello Panariello; Gianluca Mancusi; Fedy Haj Ali; Angelo Porrello; Simone Calderara; Rita Cucchiara (Comput. Vis. Image Underst., 2025)

DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection. - Chiara Cappellino; Gianluca Mancusi; Matteo Mosconi; Angelo Porrello; Simone Calderara; Rita Cucchiara (CoRR, 2025)

How to Train Your Metamorphic Deep Neural Network. - Thomas Sommariva; Simone Calderara; Angelo Porrello (CoRR, 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, 2025)