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2020 – today
- 2024
[c13]Alessandro Betti, Michele Casoni
, Marco Gori, Simone Marullo, Stefano Melacci, Matteo Tiezzi:
Neural Time-Reversed Generalized Riccati Equation. AAAI 2024: 7935-7942- [c12]Matteo Tiezzi, Simone Marullo, Alessandro Betti, Michele Casoni, Stefano Melacci:
Bridging Continual Learning of Motion and Self-Supervised Representations. ECAI 2024: 2773-2780 - [c11]Matteo Tiezzi, Simone Marullo, Federico Becattini, Stefano Melacci:
Continual Neural Computation. ECML/PKDD (2) 2024: 340-356 - [i9]Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci:
Continual Learning of Conjugated Visual Representations through Higher-order Motion Flows. CoRR abs/2409.11441 (2024) - 2023
- [c10]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 - [i8]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) - [i7]Alessandro Betti, Michele Casoni, Marco Gori, Simone Marullo, Stefano Melacci, Matteo Tiezzi:
Neural Time-Reversed Generalized Riccati Equation. CoRR abs/2312.09310 (2023) - 2022
- [c9]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 - [c8]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 - [c7]Alessandro Betti, Lapo Faggi, Marco Gori, Matteo Tiezzi, Simone Marullo, Enrico Meloni, Stefano Melacci:
Continual Learning through Hamilton Equations. CoLLAs 2022: 201-212 - [c6]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 - [c5]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 - [c4]Matteo Tiezzi, Simone Marullo, Alessandro Betti, Enrico Meloni, Lapo Faggi, Marco Gori, Stefano Melacci:
Foveated Neural Computation. ECML/PKDD (3) 2022: 19-35 - [i6]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) - [i5]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
- [c3]Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci:
Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier. IJCNN 2021: 1-8 - [c2]Enrico Meloni, Alessandro Betti, Lapo Faggi, Simone Marullo, Matteo Tiezzi, Stefano Melacci:
Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments. CSSL 2021: 62-74 - [i4]Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci:
Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier. CoRR abs/2106.10974 (2021) - [i3]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) - [i2]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
- [c1]Alessandro Betti, Marco Gori, Simone Marullo, Stefano Melacci:
Developing Constrained Neural Units Over Time. IJCNN 2020: 1-8 - [i1]Alessandro Betti, Marco Gori, Simone Marullo, Stefano Melacci:
Developing Constrained Neural Units Over Time. CoRR abs/2009.00296 (2020)
Coauthor Index
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