COSSU, ANDREA Statistiche
COSSU, ANDREA
DIPARTIMENTO DI INFORMATICA
Direct Feedback Alignment for Recurrent Neural Networks
2026-01-01 Folchini, Sara; Cossu, Andrea; Ceni, Andrea; Lomonaco, Vincenzo; Bacciu, Davide; Gallicchio, Claudio
Enhancing randomized recurrent neural networks with explainable attribution methods
2026-01-01 Spinnato, F.; Ceni, A.; Cossu, A.; Guidotti, R.; Gallicchio, C.; Bacciu, D.
Equity in neuromuscular research: a 20-year analysis of race, ethnicity, sex, and age representation
2025-01-01 Fontanelli, L.; Vadi, G.; Bellini, G.; Cossu, A.; Siciliano, G.
Lifelong Evolution of Swarms
2025-01-01 Leuzzi, Lorenzo; Bacciu, Davide; Hauert, Sabine; Jones, Simon; Cossu, Andrea
Replay-free Online Continual Learning with Self-Supervised MultiPatches
2025-01-01 Cignoni, Giacomo; Cossu, Andrea; Gomez-Villa, Alex; Van De Weijer, Joost; Carta, Antonio
Sparse Reservoir Topologies for Physical Implementations of Random Oscillators Networks
2025-01-01 Cossu, A.; Ceni, A.; Bacciu, D.; Gallicchio, C.
Calibration of Continual Learning Models
2024-01-01 Li, Lanpei; Piccoli, Elia; Cossu, Andrea; Bacciu, Davide; Lomonaco, Vincenzo
Continual Learning: Applications and the Road Forward
2024-01-01 Verwimp, E.; Aljundi, R.; Ben-David, S.; Bethge, M.; Cossu, A.; Gepperth, A.; Hayes, T. L.; Hullermeier, E.; Kanan, C.; Kudithipudi, D.; Lampert, C. H.; Mundt, M.; Pascanu, R.; Popescu, A.; Tolias, A. S.; Van De Weijer, J.; Liu, B.; Lomonaco, V.; Tuytelaars, T.; Van De Ven, G. M.
Continual pre-training mitigates forgetting in language and vision
2024-01-01 Cossu, Andrea; Carta, Antonio; Passaro, Lucia; Lomonaco, Vincenzo; Tuytelaars, Tinne; Bacciu, Davide
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
Enhancing Echo State Networks with Gradient-based Explainability Methods
2024-01-01 Spinnato, Francesco; Cossu, Andrea; Guidotti, Riccardo; Ceni, Andrea; Gallicchio, Claudio; 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
Random Oscillators Network for Time Series Processing
2024-01-01 Ceni, Andrea; Cossu, Andrea; Stolzle, Maximilian; Liu, Jingyue; Della Santina, Cosimo; Bacciu, Davide; Gallicchio, Claudio
Streaming Continual Learning for Unified Adaptive Intelligence in Dynamic Environments
2024-01-01 Giannini, Federico; Ziffer, Giacomo; Cossu, Andrea; Lomonaco, Vincenzo
A Comprehensive Empirical Evaluation on Online Continual Learning
2023-01-01 Soutif-Cormerais, Albin; Carta, Antonio; Cossu, Andrea; Hurtado, Julio; Lomonaco, Vincenzo; Van de Weijer, Joost; Hemati, Hamed
A Protocol for Continual Explanation of SHAP
2023-01-01 Cossu, Andrea; Spinnato, Francesco; Guidotti, Riccardo; Bacciu, Davide
Avalanche: A PyTorch Library for Deep Continual Learning
2023-01-01 Carta, Antonio; Pellegrini, Lorenzo; Cossu, Andrea; Hemati, Hamed; Lomonaco, Vincenzo
Class-Incremental Learning with Repetition
2023-01-01 Hemati, Hamed; Cossu, Andrea; Carta, Antonio; Hurtado, Julio; Pellegrini, Lorenzo; Bacciu, Davide; Lomonaco, Vincenzo; Damian, Borth
Deep Continual Learning (Dagstuhl Seminar 23122)
2023-01-01 Tuytelaars, Tinne; Liu, Bing; Lomonaco, Vincenzo; van de Ven, Gido; Cossu, Andrea
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Direct Feedback Alignment for Recurrent Neural Networks | 1-gen-2026 | Folchini, Sara; Cossu, Andrea; Ceni, Andrea; Lomonaco, Vincenzo; Bacciu, Davide; Gallicchio, Claudio | |
| Enhancing randomized recurrent neural networks with explainable attribution methods | 1-gen-2026 | Spinnato, F.; Ceni, A.; Cossu, A.; Guidotti, R.; Gallicchio, C.; Bacciu, D. | |
| Equity in neuromuscular research: a 20-year analysis of race, ethnicity, sex, and age representation | 1-gen-2025 | Fontanelli, L.; Vadi, G.; Bellini, G.; Cossu, A.; Siciliano, G. | |
| Lifelong Evolution of Swarms | 1-gen-2025 | Leuzzi, Lorenzo; Bacciu, Davide; Hauert, Sabine; Jones, Simon; Cossu, Andrea | |
| Replay-free Online Continual Learning with Self-Supervised MultiPatches | 1-gen-2025 | Cignoni, Giacomo; Cossu, Andrea; Gomez-Villa, Alex; Van De Weijer, Joost; Carta, Antonio | |
| Sparse Reservoir Topologies for Physical Implementations of Random Oscillators Networks | 1-gen-2025 | Cossu, A.; Ceni, A.; Bacciu, D.; Gallicchio, C. | |
| Calibration of Continual Learning Models | 1-gen-2024 | Li, Lanpei; Piccoli, Elia; Cossu, Andrea; Bacciu, Davide; Lomonaco, Vincenzo | |
| Continual Learning: Applications and the Road Forward | 1-gen-2024 | Verwimp, E.; Aljundi, R.; Ben-David, S.; Bethge, M.; Cossu, A.; Gepperth, A.; Hayes, T. L.; Hullermeier, E.; Kanan, C.; Kudithipudi, D.; Lampert, C. H.; Mundt, M.; Pascanu, R.; Popescu, A.; Tolias, A. S.; Van De Weijer, J.; Liu, B.; Lomonaco, V.; Tuytelaars, T.; Van De Ven, G. M. | |
| Continual pre-training mitigates forgetting in language and vision | 1-gen-2024 | Cossu, Andrea; Carta, Antonio; Passaro, Lucia; Lomonaco, Vincenzo; Tuytelaars, Tinne; Bacciu, Davide | |
| 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 | |
| Enhancing Echo State Networks with Gradient-based Explainability Methods | 1-gen-2024 | Spinnato, Francesco; Cossu, Andrea; Guidotti, Riccardo; Ceni, Andrea; Gallicchio, Claudio; 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 | |
| Random Oscillators Network for Time Series Processing | 1-gen-2024 | Ceni, Andrea; Cossu, Andrea; Stolzle, Maximilian; Liu, Jingyue; Della Santina, Cosimo; Bacciu, Davide; Gallicchio, Claudio | |
| Streaming Continual Learning for Unified Adaptive Intelligence in Dynamic Environments | 1-gen-2024 | Giannini, Federico; Ziffer, Giacomo; Cossu, Andrea; Lomonaco, Vincenzo | |
| A Comprehensive Empirical Evaluation on Online Continual Learning | 1-gen-2023 | Soutif-Cormerais, Albin; Carta, Antonio; Cossu, Andrea; Hurtado, Julio; Lomonaco, Vincenzo; Van de Weijer, Joost; Hemati, Hamed | |
| A Protocol for Continual Explanation of SHAP | 1-gen-2023 | Cossu, Andrea; Spinnato, Francesco; Guidotti, Riccardo; Bacciu, Davide | |
| Avalanche: A PyTorch Library for Deep Continual Learning | 1-gen-2023 | Carta, Antonio; Pellegrini, Lorenzo; Cossu, Andrea; Hemati, Hamed; Lomonaco, Vincenzo | |
| Class-Incremental Learning with Repetition | 1-gen-2023 | Hemati, Hamed; Cossu, Andrea; Carta, Antonio; Hurtado, Julio; Pellegrini, Lorenzo; Bacciu, Davide; Lomonaco, Vincenzo; Damian, Borth | |
| Deep Continual Learning (Dagstuhl Seminar 23122) | 1-gen-2023 | Tuytelaars, Tinne; Liu, Bing; Lomonaco, Vincenzo; van de Ven, Gido; Cossu, Andrea |