Matteo Tiezzi

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 39

Top Topics

Focus Of Attention

Video Surveillance

Unsupervised Learning

Top Venues

Publications

Matteo Tiezzi, Michele Casoni, Alessandro Betti, Tommaso Guidi, Marco Gori, Stefano Melacci
On the Resurgence of Recurrent Models for Long Sequences - Survey and Research Opportunities in the Transformer Era. CoRR (2024)
Matteo Tiezzi, Gabriele Ciravegna, Marco Gori
Graph Neural Networks for Graph Drawing. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Alessandro Betti, Michele Casoni, Marco Gori, Simone Marullo, Stefano Melacci, Matteo Tiezzi
Neural Time-Reversed Generalized Riccati Equation. AAAI (2024)
Matteo Tiezzi, Michele Casoni, Alessandro Betti, Marco Gori, Stefano Melacci
State-Space Modeling in Long Sequence Processing: A Survey on Recurrence in the Transformer Era. CoRR (2024)
Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci, Tinne Tuytelaars
Continual Learning with Pretrained Backbones by Tuning in the Input Space. IJCNN (2023)
Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci, Tinne Tuytelaars
Continual Learning with Pretrained Backbones by Tuning in the Input Space. CoRR (2023)
Alessandro Betti, Michele Casoni, Marco Gori, Simone Marullo, Stefano Melacci, Matteo Tiezzi
Neural Time-Reversed Generalized Riccati Equation. CoRR (2023)
Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini
Deep Constraint-Based Propagation in Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (2) (2022)
Simone Marullo, Matteo Tiezzi, Alessandro Betti, Lapo Faggi, Enrico Meloni, Stefano Melacci
Continual Unsupervised Learning for Optical Flow Estimation with Deep Networks. CoLLAs (2022)
Rida Ghafoor Hussain, Matteo Tiezzi, Gabriele Ciravegna, Marco Gori
Minimizing Cross Intersections in Graph Drawing via Linear Splines. ANNPR (2022)
Enrico Meloni, Lapo Faggi, Simone Marullo, Alessandro Betti, Matteo Tiezzi, Marco Gori, Stefano Melacci
PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks. CoRR (2022)
Matteo Tiezzi, Simone Marullo, Alessandro Betti, Enrico Meloni, Lapo Faggi, Marco Gori, Stefano Melacci
Foveated Neural Computation. ECML/PKDD (3) (2022)
Matteo Tiezzi, Simone Marullo, Lapo Faggi, Enrico Meloni, Alessandro Betti, Stefano Melacci
Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams. CoRR (2022)
Matteo Tiezzi, Simone Marullo, Lapo Faggi, Enrico Meloni, Alessandro Betti, Stefano Melacci
Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams. IJCAI (2022)
Enrico Meloni, Lapo Faggi, Simone Marullo, Alessandro Betti, Matteo Tiezzi, Marco Gori, Stefano Melacci
PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks. ICMLA (2022)
Alessandro Betti, Lapo Faggi, Marco Gori, Matteo Tiezzi, Simone Marullo, Enrico Meloni, Stefano Melacci
Continual Learning through Hamilton Equations. CoLLAs (2022)
Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci
Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks. AAAI (2022)
Enrico Meloni, Alessandro Betti, Lapo Faggi, Simone Marullo, Matteo Tiezzi, Stefano Melacci
Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments. CoRR (2021)
Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci
Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks. CoRR (2021)
Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci
Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier. CoRR (2021)
Enrico Meloni, Matteo Tiezzi, Luca Pasqualini, Marco Gori, Stefano Melacci
Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects. ICMLA (2021)
Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci
Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier. IJCNN (2021)
Enrico Meloni, Alessandro Betti, Lapo Faggi, Simone Marullo, Matteo Tiezzi, Stefano Melacci
Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments. CSSL (2021)
Enrico Meloni, Matteo Tiezzi, Luca Pasqualini, Marco Gori, Stefano Melacci
Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects. CoRR (2021)
Matteo Tiezzi, Gabriele Ciravegna, Marco Gori
Graph Neural Networks for Graph Drawing. CoRR (2021)
Giuseppe Marra, Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori
Local Propagation in Constraint-based Neural Network. CoRR (2020)
Enrico Meloni, Luca Pasqualini, Matteo Tiezzi, Marco Gori, Stefano Melacci
SAILenv: Learning in Virtual Visual Environments Made Simple. ICPR (2020)
Giuseppe Marra, Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori
Local Propagation in Constraint-based Neural Networks. IJCNN (2020)
Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini
Deep Lagrangian Constraint-based Propagation in Graph Neural Networks. CoRR (2020)
Andrea Zugarini, Matteo Tiezzi, Marco Maggini
Vulgaris: Analysis of a Corpus for Middle-Age Varieties of Italian Language. VarDial@COLING (2020)
Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori
Focus of Attention Improves Information Transfer in Visual Features. CoRR (2020)
Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini, Marco Gori
A Lagrangian Approach to Information Propagation in Graph Neural Networks. ECAI (2020)
Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori
Focus of Attention Improves Information Transfer in Visual Features. NeurIPS (2020)
Andrea Zugarini, Matteo Tiezzi, Marco Maggini
Vulgaris: Analysis of a Corpus for Middle-Age Varieties of Italian Language. CoRR (2020)
Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini, Marco Gori
A Lagrangian Approach to Information Propagation in Graph Neural Networks. CoRR (2020)
Enrico Meloni, Luca Pasqualini, Matteo Tiezzi, Marco Gori, Stefano Melacci
SAILenv: Learning in Virtual Visual Environments Made Simple. CoRR (2020)
Matteo Tiezzi, Stefano Melacci, Marco Maggini, Angelo Frosini
Video Surveillance of Highway Traffic Events by Deep Learning Architectures. CoRR (2019)
Alberto Rossi, Matteo Tiezzi, Giovanna Maria Dimitri, Monica Bianchini, Marco Maggini, Franco Scarselli
Inductive-Transductive Learning with Graph Neural Networks. ANNPR (2018)
Matteo Tiezzi, Stefano Melacci, Marco Maggini, Angelo Frosini
Video Surveillance of Highway Traffic Events by Deep Learning Architectures. ICANN (3) (2018)