COSSU, ANDREA Statistiche
COSSU, ANDREA
DIPARTIMENTO DI INFORMATICA
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 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
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
Towards Real-World Data Streams for Deep Continual Learning
2023-01-01 Cossu, Andrea
Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark
2022-01-01 Carta, Antonio; Cossu, Andrea; Errica, Federico; Bacciu, Davide
Continual Learning for Human State Monitoring
2022-01-01 Matteoni, Federico; Cossu, Andrea; Gallicchio, Claudio; Lomonaco, Vincenzo; Bacciu, Davide
Distilled Replay: Overcoming Forgetting Through Synthetic Samples
2022-01-01 Rosasco, A.; Carta, A.; Cossu, A.; Lomonaco, V.; Bacciu, D.
Ex-Model: Continual Learning from a Stream of Trained Models
2022-01-01 Carta, A.; Cossu, A.; Lomonaco, V.; Bacciu, D.
Is Class-Incremental Enough for Continual Learning?
2022-01-01 Cossu, Andrea; Graffieti, Gabriele; Pellegrini, Lorenzo; Maltoni, Davide; Bacciu, Davide; Carta, Antonio; Lomonaco, Vincenzo
Practical Recommendations for Replay-Based Continual Learning Methods
2022-01-01 Merlin, G.; Lomonaco, V.; Cossu, A.; Carta, A.; Bacciu, D.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| 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 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 | |
| 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 | |
| Towards Real-World Data Streams for Deep Continual Learning | 1-gen-2023 | Cossu, Andrea | |
| Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark | 1-gen-2022 | Carta, Antonio; Cossu, Andrea; Errica, Federico; Bacciu, Davide | |
| Continual Learning for Human State Monitoring | 1-gen-2022 | Matteoni, Federico; Cossu, Andrea; Gallicchio, Claudio; Lomonaco, Vincenzo; Bacciu, Davide | |
| Distilled Replay: Overcoming Forgetting Through Synthetic Samples | 1-gen-2022 | Rosasco, A.; Carta, A.; Cossu, A.; Lomonaco, V.; Bacciu, D. | |
| Ex-Model: Continual Learning from a Stream of Trained Models | 1-gen-2022 | Carta, A.; Cossu, A.; Lomonaco, V.; Bacciu, D. | |
| Is Class-Incremental Enough for Continual Learning? | 1-gen-2022 | Cossu, Andrea; Graffieti, Gabriele; Pellegrini, Lorenzo; Maltoni, Davide; Bacciu, Davide; Carta, Antonio; Lomonaco, Vincenzo | |
| Practical Recommendations for Replay-Based Continual Learning Methods | 1-gen-2022 | Merlin, G.; Lomonaco, V.; Cossu, A.; Carta, A.; Bacciu, D. |