Sfoglia per Autore
A Lagrangian framework for learning in graph neural networks
2024-01-01 Maggini, M.; Tiezzi, M.; Gori, M.
Foveated Neural Computation
2023-01-01 Tiezzi, M.; Marullo, S.; Betti, A.; Meloni, E.; Faggi, L.; Gori, M.; Melacci, S.
Continual Learning with Pretrained Backbones by Tuning in the Input Space
2023-01-01 Marullo, Simone; Tiezzi, Matteo; Gori, Marco; Melacci, Stefano; Tuytelaars, Tinne
PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks
2022-01-01 Meloni, Enrico; Faggi, Lapo; Marullo, Simone; Betti, Alessandro; Tiezzi, Matteo; Gori, Marco; Melacci, Stefano
Deep Constraint-based Propagation in Graph Neural Networks
2022-01-01 Tiezzi, M.; Marra, G.; Melacci, S.; Maggini, M.
Continual Unsupervised Learning for Optical Flow Estimation with Deep Networks
2022-01-01 Marullo, Simone; Tiezzi, Matteo; Betti, Alessandro; Faggi, Lapo; Meloni, Enrico; Melacci, Stefano
Continual Learning through Hamilton Equations
2022-01-01 Betti, Alessandro; Faggi, Lapo; Gori, Marco; Tiezzi, Matteo; Marullo, Simone; Meloni, Enrico; Melacci, Stefano
Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks
2022-01-01 Marullo, Simone; Tiezzi, Matteo; Gori, Marco; Melacci, Stefano
Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams
2022-01-01 Tiezzi, M.; Marullo, S.; Faggi, L.; Meloni, E.; Betti, A.; Melacci, S.
Graph Neural Networks for Graph Drawing
2022-01-01 Tiezzi, Matteo; Ciravegna, Gabriele; Gori, Marco
Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments
2022-01-01 Meloni, Enrico; Betti, Alessandro; Faggi, Lapo; Marullo, Simone; Tiezzi, Matteo; Melacci, Stefano
Friendly Training: Neural Networks Can Adapt Data to Make Learning Easier
2021-01-01 Marullo, S.; Tiezzi, M.; Gori, M.; Melacci, S.
Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects
2021-01-01 Meloni, E.; Tiezzi, M.; Pasqualini, L.; Gori, M.; Melacci, S.
Local Propagation in Neural Network Learning by Architectural Constraints
2021-01-01 Tiezzi, Matteo
Deep Lagrangian Propagation in Graph Neural Networks
2020-01-01 Tiezzi, Matteo; Marra, Giuseppe; Melacci, Stefano; Maggini, Marco
Vulgaris: Analysis of a Corpus for Middle-Age Varieties of Italian Language
2020-01-01 Zugarini, Andrea; Tiezzi, Matteo; Maggini, Marco
Lagrangian Propagation Graph Neural Networks
2020-01-01 Tiezzi, Matteo; Marra, Giuseppe; Melacci, Stefano; Maggini, Marco; Gori, Marco
Sailenv: Learning in virtual visual environments made simple
2020-01-01 Meloni, E.; Pasqualini, L.; Tiezzi, M.; Gori, M.; Melacci, S.
Local Propagation in Constraint-based Neural Networks
2020-01-01 Marra, G.; Tiezzi, M.; Melacci, S.; Betti, A.; Maggini, M.; Gori, M.
A lagrangian approach to information propagation in graph neural networks
2020-01-01 Tiezzi, M.; Marra, G.; Melacci, S.; Maggini, M.; Gori, M.
| Titolo | Data di pubblicazione | Autore(i) | File | Abstract |
|---|---|---|---|---|
| A Lagrangian framework for learning in graph neural networks | 1-gen-2024 | Maggini, M.; Tiezzi, M.; Gori, M. | - | |
| Foveated Neural Computation | 1-gen-2023 | Tiezzi, M.; Marullo, S.; Betti, A.; Meloni, E.; Faggi, L.; Gori, M.; Melacci, S. | - | |
| Continual Learning with Pretrained Backbones by Tuning in the Input Space | 1-gen-2023 | Marullo, Simone; Tiezzi, Matteo; Gori, Marco; Melacci, Stefano; Tuytelaars, Tinne | - | |
| PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks | 1-gen-2022 | Meloni, Enrico; Faggi, Lapo; Marullo, Simone; Betti, Alessandro; Tiezzi, Matteo; Gori, Marco; Melacci, Stefano | - | |
| Deep Constraint-based Propagation in Graph Neural Networks | 1-gen-2022 | Tiezzi, M.; Marra, G.; Melacci, S.; Maggini, M. | - | |
| Continual Unsupervised Learning for Optical Flow Estimation with Deep Networks | 1-gen-2022 | Marullo, Simone; Tiezzi, Matteo; Betti, Alessandro; Faggi, Lapo; Meloni, Enrico; Melacci, Stefano | - | |
| Continual Learning through Hamilton Equations | 1-gen-2022 | Betti, Alessandro; Faggi, Lapo; Gori, Marco; Tiezzi, Matteo; Marullo, Simone; Meloni, Enrico; Melacci, Stefano | - | |
| Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks | 1-gen-2022 | Marullo, Simone; Tiezzi, Matteo; Gori, Marco; Melacci, Stefano | - | |
| Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams | 1-gen-2022 | Tiezzi, M.; Marullo, S.; Faggi, L.; Meloni, E.; Betti, A.; Melacci, S. | - | |
| Graph Neural Networks for Graph Drawing | 1-gen-2022 | Tiezzi, Matteo; Ciravegna, Gabriele; Gori, Marco | - | |
| Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments | 1-gen-2022 | Meloni, Enrico; Betti, Alessandro; Faggi, Lapo; Marullo, Simone; Tiezzi, Matteo; Melacci, Stefano | - | |
| Friendly Training: Neural Networks Can Adapt Data to Make Learning Easier | 1-gen-2021 | Marullo, S.; Tiezzi, M.; Gori, M.; Melacci, S. | - | |
| Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects | 1-gen-2021 | Meloni, E.; Tiezzi, M.; Pasqualini, L.; Gori, M.; Melacci, S. | - | |
| Local Propagation in Neural Network Learning by Architectural Constraints | 1-gen-2021 | Tiezzi, Matteo | - | |
| Deep Lagrangian Propagation in Graph Neural Networks | 1-gen-2020 | Tiezzi, Matteo; Marra, Giuseppe; Melacci, Stefano; Maggini, Marco | - | |
| Vulgaris: Analysis of a Corpus for Middle-Age Varieties of Italian Language | 1-gen-2020 | Zugarini, Andrea; Tiezzi, Matteo; Maggini, Marco | - | |
| Lagrangian Propagation Graph Neural Networks | 1-gen-2020 | Tiezzi, Matteo; Marra, Giuseppe; Melacci, Stefano; Maggini, Marco; Gori, Marco | - | |
| Sailenv: Learning in virtual visual environments made simple | 1-gen-2020 | Meloni, E.; Pasqualini, L.; Tiezzi, M.; Gori, M.; Melacci, S. | - | |
| Local Propagation in Constraint-based Neural Networks | 1-gen-2020 | Marra, G.; Tiezzi, M.; Melacci, S.; Betti, A.; Maggini, M.; Gori, M. | - | |
| A lagrangian approach to information propagation in graph neural networks | 1-gen-2020 | Tiezzi, M.; Marra, G.; Melacci, S.; Maggini, M.; Gori, M. | - |
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