BACCIU, DAVIDE Statistiche
BACCIU, DAVIDE
DIPARTIMENTO DI INFORMATICA
ECG synthesis for cardiac arrhythmias: Integrating self-supervised learning and generative adversarial networks
2025-01-01 Simone, Lorenzo; Bacciu, Davide; Gervasi, Vincenzo
Non-dissipative Propagation by Randomized Anti-symmetric Deep Graph Networks
2025-01-01 Gravina, A.; Gallicchio, C.; Bacciu, D.
Sparse Reservoir Topologies for Physical Implementations of Random Oscillators Networks
2025-01-01 Cossu, A.; Ceni, A.; Bacciu, D.; Gallicchio, C.
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
Continual pre-training mitigates forgetting in language and vision
2024-01-01 Cossu, Andrea; Carta, Antonio; Passaro, Lucia; Lomonaco, Vincenzo; Tuytelaars, Tinne; Bacciu, Davide
Deep Learning for Dynamic Graphs: Models and Benchmarks
2024-01-01 Gravina, Alessio; Bacciu, Davide
Deep Reinforcement Learning for Network Slice Placement and the DeepNetSlice Toolkit
2024-01-01 Pasquali, Alex; Lomonaco, Vincenzo; Bacciu, Davide; Paganelli, Federica
Drifting explanations in continual learning
2024-01-01 Cossu, Andrea; Spinnato, Francesco; Guidotti, Riccardo; Bacciu, Davide
EMERGE - Emergent Awareness from Minimal Collectives
2024-01-01 Bacciu, Davide; Ambriola, Vincenzo; Bahrami, Bahador; Ceni, Andrea; Cossu, Andrea; De Caro, Valerio; Della Santina, Cosimo; Deroy, Ophelia; Gallicchio, Claudio; Guidotti, Riccardo; Hauert, Sabine; Jones, Simon; Karpus, Jurgis; Lee, Suet; Liu, Jingyue; Lomonaco, Vincenzo; Meertens, Nadine; Milner, Emma; Monreale, Anna; Nakahara, Renan Picoreti; Ramirez, Mariano; Shahabi, Ebrahim; Stölzle, Maximilian
I Know How: Combining Prior Policies to Solve New Tasks
2024-01-01 Li, Malio; Piccoli, Elia; Lomonaco, Vincenzo; Bacciu, Davide
Learning Causal Abstractions of Linear Structural Causal Models
2024-01-01 Massidda, Riccardo; Magliacane, Sara; Bacciu, Davide
Long Range Propagation on Continuous-Time Dynamic Graphs
2024-01-01 Gravina, A.; Lovisotto, G.; Gallicchio, C.; Bacciu, D.; Grohnfeldt, C.
Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction
2024-01-01 Sattar, Asma; Deligiorgis, Georgios; Trincavelli, Marco; Bacciu, Davide
Projected Latent Distillation for Data-Agnostic Consolidation in distributed continual learning
2024-01-01 Carta, Antonio; Cossu, Andrea; Lomonaco, Vincenzo; Bacciu, Davide; van de Weijer, Joost
Quasi-Orthogonal ECG-Frank XYZ Transformation with Energy-Based Models and Clinical Text
2024-01-01 Simone, L.; Bacciu, D.; Gervasi, V.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| ECG synthesis for cardiac arrhythmias: Integrating self-supervised learning and generative adversarial networks | 1-gen-2025 | Simone, Lorenzo; Bacciu, Davide; Gervasi, Vincenzo | |
| Non-dissipative Propagation by Randomized Anti-symmetric Deep Graph Networks | 1-gen-2025 | Gravina, A.; Gallicchio, C.; Bacciu, D. | |
| Sparse Reservoir Topologies for Physical Implementations of Random Oscillators Networks | 1-gen-2025 | Cossu, A.; Ceni, A.; Bacciu, D.; Gallicchio, C. | |
| 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 | |
| Continual pre-training mitigates forgetting in language and vision | 1-gen-2024 | Cossu, Andrea; Carta, Antonio; Passaro, Lucia; Lomonaco, Vincenzo; Tuytelaars, Tinne; Bacciu, Davide | |
| Deep Learning for Dynamic Graphs: Models and Benchmarks | 1-gen-2024 | Gravina, Alessio; Bacciu, Davide | |
| Deep Reinforcement Learning for Network Slice Placement and the DeepNetSlice Toolkit | 1-gen-2024 | Pasquali, Alex; Lomonaco, Vincenzo; Bacciu, Davide; Paganelli, Federica | |
| Drifting explanations in continual learning | 1-gen-2024 | Cossu, Andrea; Spinnato, Francesco; Guidotti, Riccardo; Bacciu, Davide | |
| EMERGE - Emergent Awareness from Minimal Collectives | 1-gen-2024 | Bacciu, Davide; Ambriola, Vincenzo; Bahrami, Bahador; Ceni, Andrea; Cossu, Andrea; De Caro, Valerio; Della Santina, Cosimo; Deroy, Ophelia; Gallicchio, Claudio; Guidotti, Riccardo; Hauert, Sabine; Jones, Simon; Karpus, Jurgis; Lee, Suet; Liu, Jingyue; Lomonaco, Vincenzo; Meertens, Nadine; Milner, Emma; Monreale, Anna; Nakahara, Renan Picoreti; Ramirez, Mariano; Shahabi, Ebrahim; Stölzle, Maximilian | |
| I Know How: Combining Prior Policies to Solve New Tasks | 1-gen-2024 | Li, Malio; Piccoli, Elia; Lomonaco, Vincenzo; Bacciu, Davide | |
| Learning Causal Abstractions of Linear Structural Causal Models | 1-gen-2024 | Massidda, Riccardo; Magliacane, Sara; Bacciu, Davide | |
| Long Range Propagation on Continuous-Time Dynamic Graphs | 1-gen-2024 | Gravina, A.; Lovisotto, G.; Gallicchio, C.; Bacciu, D.; Grohnfeldt, C. | |
| Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction | 1-gen-2024 | Sattar, Asma; Deligiorgis, Georgios; Trincavelli, Marco; Bacciu, Davide | |
| Projected Latent Distillation for Data-Agnostic Consolidation in distributed continual learning | 1-gen-2024 | Carta, Antonio; Cossu, Andrea; Lomonaco, Vincenzo; Bacciu, Davide; van de Weijer, Joost | |
| Quasi-Orthogonal ECG-Frank XYZ Transformation with Energy-Based Models and Clinical Text | 1-gen-2024 | Simone, L.; Bacciu, D.; Gervasi, V. |