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Matteo Tiezzi
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2020 – today
- 2024
- [j2]Matteo Tiezzi
, Gabriele Ciravegna
Graph Neural Networks for Graph Drawing. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4668-4681 (2024) - [c22]Alessandro Betti, Michele Casoni
Neural Time-Reversed Generalized Riccati Equation. AAAI 2024: 7935-7942 - [c21]Michele Casoni
Pitfalls in Processing Infinite-Length Sequences with Popular Approaches for Sequential Data. ANNPR 2024: 37-48 - [c20]Matteo Tiezzi, Simone Marullo, Alessandro Betti, Michele Casoni, Stefano Melacci:
Bridging Continual Learning of Motion and Self-Supervised Representations. ECAI 2024: 2773-2780 - [c19]Matteo Tiezzi, Simone Marullo, Federico Becattini, Stefano Melacci:
Continual Neural Computation. ECML/PKDD (2) 2024: 340-356 - [i21]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 abs/2402.08132 (2024) - [i20]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 abs/2406.09062 (2024) - [i19]Mahadev Prasad Panda, Matteo Tiezzi, Martina G. Vilas, Gemma Roig, Bjoern M. Eskofier, Dario Zanca:
Human-inspired Explanations for Vision Transformers and Convolutional Neural Networks. CoRR abs/2408.02123 (2024) - [i18]Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci:
Continual Learning of Conjugated Visual Representations through Higher-order Motion Flows. CoRR abs/2409.11441 (2024) - [i17]Stefano Melacci, Alessandro Betti, Michele Casoni, Tommaso Guidi, Matteo Tiezzi, Marco Gori:
A Unified Framework for Neural Computation and Learning Over Time. CoRR abs/2409.12038 (2024) - 2023
- [c18]Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci, Tinne Tuytelaars
Continual Learning with Pretrained Backbones by Tuning in the Input Space. IJCNN 2023: 1-9 - [i16]Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci, Tinne Tuytelaars:
Continual Learning with Pretrained Backbones by Tuning in the Input Space. CoRR abs/2306.02947 (2023) - [i15]Alessandro Betti, Michele Casoni, Marco Gori, Simone Marullo, Stefano Melacci, Matteo Tiezzi:
Neural Time-Reversed Generalized Riccati Equation. CoRR abs/2312.09310 (2023) - 2022
- [j1]Matteo Tiezzi
Deep Constraint-Based Propagation in Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 727-739 (2022) - [c17]Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci:
Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks. AAAI 2022: 7728-7735 - [c16]Rida Ghafoor Hussain, Matteo Tiezzi, Gabriele Ciravegna, Marco Gori:
Minimizing Cross Intersections in Graph Drawing via Linear Splines. ANNPR 2022: 28-39 - [c15]Simone Marullo, Matteo Tiezzi, Alessandro Betti, Lapo Faggi, Enrico Meloni, Stefano Melacci:
Continual Unsupervised Learning for Optical Flow Estimation with Deep Networks. CoLLAs 2022: 183-200 - [c14]Alessandro Betti, Lapo Faggi, Marco Gori, Matteo Tiezzi, Simone Marullo, Enrico Meloni, Stefano Melacci:
Continual Learning through Hamilton Equations. CoLLAs 2022: 201-212 - [c13]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: 665-670 - [c12]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: 3480-3486 - [c11]Matteo Tiezzi, Simone Marullo, Alessandro Betti, Enrico Meloni, Lapo Faggi, Marco Gori, Stefano Melacci:
Foveated Neural Computation. ECML/PKDD (3) 2022: 19-35 - [i14]Matteo Tiezzi, Simone Marullo, Lapo Faggi, Enrico Meloni, Alessandro Betti, Stefano Melacci:
Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams. CoRR abs/2204.12193 (2022) - [i13]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 abs/2210.09147 (2022) - 2021
- [c10]Enrico Meloni, Matteo Tiezzi, Luca Pasqualini, Marco Gori, Stefano Melacci:
Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects. ICMLA 2021: 1-8 - [c9]Simone Marullo
Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier. IJCNN 2021: 1-8 - [c8]Enrico Meloni
Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments. CSSL 2021: 62-74 - [i12]Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci:
Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier. CoRR abs/2106.10974 (2021) - [i11]Enrico Meloni, Alessandro Betti, Lapo Faggi, Simone Marullo, Matteo Tiezzi, Stefano Melacci:
Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments. CoRR abs/2109.07855 (2021) - [i10]Enrico Meloni, Matteo Tiezzi, Luca Pasqualini, Marco Gori, Stefano Melacci:
Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects. CoRR abs/2109.08465 (2021) - [i9]Matteo Tiezzi, Gabriele Ciravegna, Marco Gori:
Graph Neural Networks for Graph Drawing. CoRR abs/2109.10061 (2021) - [i8]Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci:
Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks. CoRR abs/2112.09968 (2021) - 2020
- [c7]Matteo Tiezzi
A Lagrangian Approach to Information Propagation in Graph Neural Networks. ECAI 2020: 1539-1546 - [c6]Enrico Meloni, Luca Pasqualini, Matteo Tiezzi, Marco Gori, Stefano Melacci:
SAILenv: Learning in Virtual Visual Environments Made Simple. ICPR 2020: 8906-8913 - [c5]Giuseppe Marra
Local Propagation in Constraint-based Neural Networks. IJCNN 2020: 1-8 - [c4]Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori:
Focus of Attention Improves Information Transfer in Visual Features. NeurIPS 2020 - [c3]Andrea Zugarini, Matteo Tiezzi, Marco Maggini:
Vulgaris: Analysis of a Corpus for Middle-Age Varieties of Italian Language. VarDial@COLING 2020: 150-159 - [i7]Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini, Marco Gori:
A Lagrangian Approach to Information Propagation in Graph Neural Networks. CoRR abs/2002.07684 (2020) - [i6]Giuseppe Marra, Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori:
Local Propagation in Constraint-based Neural Network. CoRR abs/2002.07720 (2020) - [i5]Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini:
Deep Lagrangian Constraint-based Propagation in Graph Neural Networks. CoRR abs/2005.02392 (2020) - [i4]Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori:
Focus of Attention Improves Information Transfer in Visual Features. CoRR abs/2006.09229 (2020) - [i3]Enrico Meloni, Luca Pasqualini, Matteo Tiezzi, Marco Gori, Stefano Melacci:
SAILenv: Learning in Virtual Visual Environments Made Simple. CoRR abs/2007.08224 (2020) - [i2]Andrea Zugarini, Matteo Tiezzi, Marco Maggini:
Vulgaris: Analysis of a Corpus for Middle-Age Varieties of Italian Language. CoRR abs/2010.05993 (2020)
2010 – 2019
- 2019
- [i1]Matteo Tiezzi, Stefano Melacci, Marco Maggini, Angelo Frosini:
Video Surveillance of Highway Traffic Events by Deep Learning Architectures. CoRR abs/1909.12235 (2019) - 2018
- [c2]Alberto Rossi, Matteo Tiezzi
Inductive-Transductive Learning with Graph Neural Networks. ANNPR 2018: 201-212 - [c1]Matteo Tiezzi
Video Surveillance of Highway Traffic Events by Deep Learning Architectures. ICANN (3) 2018: 584-593
Coauthor Index
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last updated on 2024-10-28 20:14 CET by the dblp team
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