BACCIU, DAVIDE Statistiche
BACCIU, DAVIDE
DIPARTIMENTO DI INFORMATICA
A practical guide to streaming continual learning
2026-01-01 Cossu, Andrea; Giannini, Federico; Ziffer, Giacomo; Bernardo, Alessio; Gepperth, Alexander; Della Valle, Emanuele; Hammer, Barbara; Bacciu, Davide
Direct Feedback Alignment for Recurrent Neural Networks
2026-01-01 Folchini, Sara; Cossu, Andrea; Ceni, Andrea; Lomonaco, Vincenzo; Bacciu, Davide; Gallicchio, Claudio
ECLYPSE: A Python Framework for Simulation and Emulation of the Cloud‐Edge Continuum
2026-01-01 Massa, Jacopo; De , ; Caro, Valerio; Forti, Stefano; Dazzi, Patrizio; Bacciu, Davide; Brogi, Antonio
Enhancing randomized recurrent neural networks with explainable attribution methods
2026-01-01 Spinnato, F.; Ceni, A.; Cossu, A.; Guidotti, R.; Gallicchio, C.; Bacciu, D.
Learning and Transferring Physical Models through Derivatives
2026-01-01 Trenta, Alessandro; Cossu, Andrea; Bacciu, Davide
Real-Time and Personalized Product Recommendations for Large E-Commerce Platforms
2026-01-01 Tolloso, Matteo; Bacciu, Davide; Mokarizadeh, Shahab; Varesi, Marco
ECG synthesis for cardiac arrhythmias: Integrating self-supervised learning and generative adversarial networks
2025-01-01 Simone, Lorenzo; Bacciu, Davide; Gervasi, Vincenzo
Graph Diffusion that can Insert and Delete
2025-01-01 Ninniri, Matteo; Podda, Marco; Bacciu, Davide
Lifelong Evolution of Swarms
2025-01-01 Leuzzi, Lorenzo; Bacciu, Davide; Hauert, Sabine; Jones, Simon; Cossu, Andrea
Non-dissipative Propagation by Randomized Anti-symmetric Deep Graph Networks
2025-01-01 Gravina, A.; Gallicchio, C.; Bacciu, D.
On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
2025-01-01 Gravina, A.; Eliasof, M.; Gallicchio, C.; Bacciu, D.; Schonlieb, C. -B.
Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks
2025-01-01 Heilig, Simon; Gravina, Alessio; Trenta, Alessandro; Gallicchio, Claudio; Bacciu, Davide
Sparse Reservoir Topologies for Physical Implementations of Random Oscillators Networks
2025-01-01 Cossu, A.; Ceni, A.; Bacciu, D.; Gallicchio, C.
Towards Efficient Molecular Property Optimization with Graph Energy Based Models
2025-01-01 Miglior, Luca; Simone, Lorenzo; Podda, Marco; Bacciu, Davide
Adaptive Hyperparameter Optimization for Continual Learning Scenarios
2024-01-01 Semola, Rudy; Hurtado, Julio; Lomonaco, Vincenzo; Bacciu, Davide
Calibration of Continual Learning Models
2024-01-01 Li, Lanpei; Piccoli, Elia; Cossu, Andrea; Bacciu, Davide; Lomonaco, Vincenzo
CD-IMM: The Benefits of Domain-based Mixture Models in Bayesian Continual Learning
2024-01-01 Castellana, Daniele; Carta, Antonio; Bacciu, Davide
ChemAlgebra: Algebraic Reasoning on Chemical Reactions
2024-01-01 Valenti, Andrea; Bacciu, Davide; Vergari, Antonio
Classifier-Free Graph Diffusion for Molecular Property Targeting
2024-01-01 Ninniri, Matteo; Podda, Marco; Bacciu, Davide
Constraint-Free Structure Learning with Smooth Acyclic Orientations
2024-01-01 Massidda, Riccardo; Landolfi, Francesco; Cinquini, Martina; Bacciu, Davide
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A practical guide to streaming continual learning | 1-gen-2026 | Cossu, Andrea; Giannini, Federico; Ziffer, Giacomo; Bernardo, Alessio; Gepperth, Alexander; Della Valle, Emanuele; Hammer, Barbara; Bacciu, Davide | |
| Direct Feedback Alignment for Recurrent Neural Networks | 1-gen-2026 | Folchini, Sara; Cossu, Andrea; Ceni, Andrea; Lomonaco, Vincenzo; Bacciu, Davide; Gallicchio, Claudio | |
| ECLYPSE: A Python Framework for Simulation and Emulation of the Cloud‐Edge Continuum | 1-gen-2026 | Massa, Jacopo; De , ; Caro, Valerio; Forti, Stefano; Dazzi, Patrizio; Bacciu, Davide; Brogi, Antonio | |
| Enhancing randomized recurrent neural networks with explainable attribution methods | 1-gen-2026 | Spinnato, F.; Ceni, A.; Cossu, A.; Guidotti, R.; Gallicchio, C.; Bacciu, D. | |
| Learning and Transferring Physical Models through Derivatives | 1-gen-2026 | Trenta, Alessandro; Cossu, Andrea; Bacciu, Davide | |
| Real-Time and Personalized Product Recommendations for Large E-Commerce Platforms | 1-gen-2026 | Tolloso, Matteo; Bacciu, Davide; Mokarizadeh, Shahab; Varesi, Marco | |
| ECG synthesis for cardiac arrhythmias: Integrating self-supervised learning and generative adversarial networks | 1-gen-2025 | Simone, Lorenzo; Bacciu, Davide; Gervasi, Vincenzo | |
| Graph Diffusion that can Insert and Delete | 1-gen-2025 | Ninniri, Matteo; Podda, Marco; Bacciu, Davide | |
| Lifelong Evolution of Swarms | 1-gen-2025 | Leuzzi, Lorenzo; Bacciu, Davide; Hauert, Sabine; Jones, Simon; Cossu, Andrea | |
| Non-dissipative Propagation by Randomized Anti-symmetric Deep Graph Networks | 1-gen-2025 | Gravina, A.; Gallicchio, C.; Bacciu, D. | |
| On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems | 1-gen-2025 | Gravina, A.; Eliasof, M.; Gallicchio, C.; Bacciu, D.; Schonlieb, C. -B. | |
| Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks | 1-gen-2025 | Heilig, Simon; Gravina, Alessio; Trenta, Alessandro; Gallicchio, Claudio; Bacciu, Davide | |
| Sparse Reservoir Topologies for Physical Implementations of Random Oscillators Networks | 1-gen-2025 | Cossu, A.; Ceni, A.; Bacciu, D.; Gallicchio, C. | |
| Towards Efficient Molecular Property Optimization with Graph Energy Based Models | 1-gen-2025 | Miglior, Luca; Simone, Lorenzo; Podda, Marco; Bacciu, Davide | |
| Adaptive Hyperparameter Optimization for Continual Learning Scenarios | 1-gen-2024 | Semola, Rudy; Hurtado, Julio; Lomonaco, Vincenzo; Bacciu, Davide | |
| Calibration of Continual Learning Models | 1-gen-2024 | Li, Lanpei; Piccoli, Elia; Cossu, Andrea; Bacciu, Davide; Lomonaco, Vincenzo | |
| CD-IMM: The Benefits of Domain-based Mixture Models in Bayesian Continual Learning | 1-gen-2024 | Castellana, Daniele; Carta, Antonio; Bacciu, Davide | |
| ChemAlgebra: Algebraic Reasoning on Chemical Reactions | 1-gen-2024 | Valenti, Andrea; Bacciu, Davide; Vergari, Antonio | |
| Classifier-Free Graph Diffusion for Molecular Property Targeting | 1-gen-2024 | Ninniri, Matteo; Podda, Marco; Bacciu, Davide | |
| Constraint-Free Structure Learning with Smooth Acyclic Orientations | 1-gen-2024 | Massidda, Riccardo; Landolfi, Francesco; Cinquini, Martina; Bacciu, Davide |