Inductive-Transductive Learning with Graph Neural Networks. - Alberto Rossi; Matteo Tiezzi; Giovanna Maria Dimitri; Monica Bianchini; Marco Maggini; Franco Scarselli (ANNPR, 2018)

Video Surveillance of Highway Traffic Events by Deep Learning Architectures. - Matteo Tiezzi; Stefano Melacci; Marco Maggini; Angelo Frosini (ICANN (3), 2018)

A Lagrangian Approach to Information Propagation in Graph Neural Networks. - Matteo Tiezzi; Giuseppe Marra; Stefano Melacci; Marco Maggini; Marco Gori (ECAI, 2020)

SAILenv: Learning in Virtual Visual Environments Made Simple. - Enrico Meloni; Luca Pasqualini; Matteo Tiezzi; Marco Gori; Stefano Melacci (ICPR, 2020)

Local Propagation in Constraint-based Neural Networks. - Giuseppe Marra; Matteo Tiezzi; Stefano Melacci; Alessandro Betti; Marco Maggini; Marco Gori (IJCNN, 2020)

Focus of Attention Improves Information Transfer in Visual Features. - Matteo Tiezzi; Stefano Melacci; Alessandro Betti; Marco Maggini; Marco Gori (NeurIPS, 2020)

Vulgaris: Analysis of a Corpus for Middle-Age Varieties of Italian Language. - Andrea Zugarini; Matteo Tiezzi; Marco Maggini (VarDial@COLING, 2020)

Local Propagation in Constraint-based Neural Network. - Giuseppe Marra; Matteo Tiezzi; Stefano Melacci; Alessandro Betti; Marco Maggini; Marco Gori (CoRR, 2020)

Deep Lagrangian Constraint-based Propagation in Graph Neural Networks. - Matteo Tiezzi; Giuseppe Marra; Stefano Melacci; Marco Maggini (CoRR, 2020)

Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects. - Enrico Meloni; Matteo Tiezzi; Luca Pasqualini; Marco Gori; Stefano Melacci (ICMLA, 2021)

Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier. - Simone Marullo; Matteo Tiezzi; Marco Gori; Stefano Melacci (IJCNN, 2021)

Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments. - Enrico Meloni; Alessandro Betti; Lapo Faggi; Simone Marullo; Matteo Tiezzi; Stefano Melacci (CSSL, 2021)

Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks. - Simone Marullo; Matteo Tiezzi; Marco Gori; Stefano Melacci (AAAI, 2022)

Minimizing Cross Intersections in Graph Drawing via Linear Splines. - Rida Ghafoor Hussain; Matteo Tiezzi; Gabriele Ciravegna; Marco Gori (ANNPR, 2022)

Continual Learning through Hamilton Equations. - Alessandro Betti; Lapo Faggi; Marco Gori; Matteo Tiezzi; Simone Marullo; Enrico Meloni; Stefano Melacci (CoLLAs, 2022)

Continual Unsupervised Learning for Optical Flow Estimation with Deep Networks. - Simone Marullo; Matteo Tiezzi; Alessandro Betti; Lapo Faggi; Enrico Meloni; Stefano Melacci (CoLLAs, 2022)

PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks. - Enrico Meloni; Lapo Faggi; Simone Marullo; Alessandro Betti; Matteo Tiezzi; Marco Gori; Stefano Melacci (ICMLA, 2022)

Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams. - Matteo Tiezzi; Simone Marullo; Lapo Faggi; Enrico Meloni; Alessandro Betti; Stefano Melacci (IJCAI, 2022)

Foveated Neural Computation. - Matteo Tiezzi; Simone Marullo; Alessandro Betti; Enrico Meloni; Lapo Faggi; Marco Gori; Stefano Melacci (ECML/PKDD (3), 2022)

Deep Constraint-Based Propagation in Graph Neural Networks. - Matteo Tiezzi; Giuseppe Marra; Stefano Melacci; Marco Maggini (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Continual Learning with Pretrained Backbones by Tuning in the Input Space. - Simone Marullo; Matteo Tiezzi; Marco Gori; Stefano Melacci; Tinne Tuytelaars (IJCNN, 2023)

Neural Time-Reversed Generalized Riccati Equation. - Alessandro Betti; Michele Casoni; Marco Gori; Simone Marullo; Stefano Melacci; Matteo Tiezzi (AAAI, 2024)

Pitfalls in Processing Infinite-Length Sequences with Popular Approaches for Sequential Data. - Michele Casoni; Tommaso Guidi; Matteo Tiezzi; Alessandro Betti; Marco Gori; Stefano Melacci (ANNPR, 2024)

Memory Head for Pre-Trained Backbones in Continual Learning. - Matteo Tiezzi; Federico Becattini; Simone Marullo; Stefano Melacci (CoLLAs, 2024)

Bridging Continual Learning of Motion and Self-Supervised Representations. - Matteo Tiezzi; Simone Marullo; Alessandro Betti; Michele Casoni; Stefano Melacci (ECAI, 2024)

Continual Neural Computation. - Matteo Tiezzi; Simone Marullo; Federico Becattini; Stefano Melacci (ECML/PKDD (2), 2024)

On the Resurgence of Recurrent Models for Long Sequences - Survey and Research Opportunities in the Transformer Era. - Matteo Tiezzi; Michele Casoni; Alessandro Betti; Tommaso Guidi; Marco Gori; Stefano Melacci (CoRR, 2024)

State-Space Modeling in Long Sequence Processing: A Survey on Recurrence in the Transformer Era. - Matteo Tiezzi; Michele Casoni; Alessandro Betti; Marco Gori; Stefano Melacci (CoRR, 2024)

Human-inspired Explanations for Vision Transformers and Convolutional Neural Networks. - Mahadev Prasad Panda; Matteo Tiezzi; Martina G. Vilas; Gemma Roig; Bjoern M. Eskofier; Dario Zanca (CoRR, 2024)

A Unified Framework for Neural Computation and Learning Over Time. - Stefano Melacci; Alessandro Betti; Michele Casoni; Tommaso Guidi; Matteo Tiezzi; Marco Gori (CoRR, 2024)

Graph Neural Networks for Graph Drawing. - Matteo Tiezzi; Gabriele Ciravegna; Marco Gori (IEEE Trans. Neural Networks Learn. Syst., 2024)

Continual learning of conjugated visual representations through higher-order motion flows. - Simone Marullo; Matteo Tiezzi; Marco Gori; Stefano Melacci (Neural Networks, 2025)

Learning to Evaluate Autonomous Behaviour in Human-Robot Interaction. - Matteo Tiezzi; Tommaso Apicella; Carlos Cardenas-Perez; Giovanni Fregonese; Stefano Dafarra; Pietro Morerio; Daniele Pucci; Alessio Del Bue (CoRR, 2025)