Matteo Tiezzi

According to our database, Matteo Tiezzi authored at least 31 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Graph Neural Networks for Graph Drawing.

Matteo Tiezzi, Gabriele Ciravegna, Marco Gori

IEEE Trans. Neural Networks Learn. Syst., April, 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

Continual Learning of Conjugated Visual Representations through Higher-order Motion Flows.

Simone Marullo, Matteo Tiezzi, 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

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

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

Continual Neural Computation.

Matteo Tiezzi, Simone Marullo, Federico Becattini, Stefano Melacci

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Bridging Continual Learning of Motion and Self-Supervised Representations.

Matteo Tiezzi, Simone Marullo, Alessandro Betti, Michele Casoni, Stefano Melacci

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 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

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2024

Neural Time-Reversed Generalized Riccati Equation.

Alessandro Betti, Michele Casoni, Marco Gori, Simone Marullo, Stefano Melacci, Matteo Tiezzi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Continual Learning with Pretrained Backbones by Tuning in the Input Space.

Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci, Tinne Tuytelaars

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Deep Constraint-Based Propagation in Graph Neural Networks.

Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Foveated Neural Computation.

Matteo Tiezzi, Simone Marullo, Alessandro Betti, Enrico Meloni, Lapo Faggi, Marco Gori, Stefano Melacci

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams.

Matteo Tiezzi, Simone Marullo, Lapo Faggi, Enrico Meloni, Alessandro Betti, Stefano Melacci

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 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

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Continual Unsupervised Learning for Optical Flow Estimation with Deep Networks.

Simone Marullo, Matteo Tiezzi, Alessandro Betti, Lapo Faggi, Enrico Meloni, Stefano Melacci

Proceedings of the Conference on Lifelong Learning Agents, 2022

Continual Learning through Hamilton Equations.

Alessandro Betti, Lapo Faggi, Marco Gori, Matteo Tiezzi, Simone Marullo, Enrico Meloni, Stefano Melacci

Proceedings of the Conference on Lifelong Learning Agents, 2022

Minimizing Cross Intersections in Graph Drawing via Linear Splines.

Rida Ghafoor Hussain, Matteo Tiezzi, Gabriele Ciravegna, Marco Gori

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2022

Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks.

Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments.

Enrico Meloni, Alessandro Betti, Lapo Faggi, Simone Marullo, Matteo Tiezzi, Stefano Melacci

Proceedings of the Continual Semi-Supervised Learning - First International Workshop, 2021

Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier.

Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci

Proceedings of the International Joint Conference on Neural Networks, 2021

Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects.

Enrico Meloni, Matteo Tiezzi, Luca Pasqualini, Marco Gori, Stefano Melacci

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020

Deep Lagrangian Constraint-based Propagation in Graph Neural Networks.

Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini

CoRR, 2020

Local Propagation in Constraint-based Neural Network.

Giuseppe Marra, Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori

CoRR, 2020

Vulgaris: Analysis of a Corpus for Middle-Age Varieties of Italian Language.

Andrea Zugarini, Matteo Tiezzi, Marco Maggini

Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects, 2020

Focus of Attention Improves Information Transfer in Visual Features.

Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Local Propagation in Constraint-based Neural Networks.

Giuseppe Marra, Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

SAILenv: Learning in Virtual Visual Environments Made Simple.

Enrico Meloni, Luca Pasqualini, Matteo Tiezzi, Marco Gori, Stefano Melacci

Proceedings of the 25th International Conference on Pattern Recognition, 2020

A Lagrangian Approach to Information Propagation in Graph Neural Networks.

Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini, Marco Gori

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2018

Video Surveillance of Highway Traffic Events by Deep Learning Architectures.

Matteo Tiezzi, Stefano Melacci, Marco Maggini, Angelo Frosini

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Inductive-Transductive Learning with Graph Neural Networks.

Alberto Rossi, Matteo Tiezzi, Giovanna Maria Dimitri, Monica Bianchini, Marco Maggini, Franco Scarselli

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018