CARTA, ANTONIO Statistiche
CARTA, ANTONIO
DIPARTIMENTO DI INFORMATICA
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 Simple Recipe to Meta-Learn Forward and Backward Transfer
2023-01-01 Cetin, Edoardo; Carta, Antonio; Celiktutan, Oya
Efficient Anomaly Detection on Temporal Data via Echo State Networks and Dynamic Thresholding
2023-01-01 Carta, A.; Carfi, G.; De Caro, V.; Gallicchio, C.
Safety and Robustness for Deep Neural Networks: An Automotive Use Case
2023-01-01 Bacciu, Davide; Carta, Antonio; Gallicchio, Claudio; Schmittner, Christoph
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving
2022-01-01 De Caro, V.; Bano, S.; Machumilane, A.; Gotta, A.; Cassara, P.; Carta, A.; Semola, R.; Sardianos, C.; Chronis, C.; Varlamis, I.; Tserpes, K.; Lomonaco, V.; Gallicchio, C.; Bacciu, D.
Avalanche RL: A Continual Reinforcement Learning Library
2022-01-01 Lucchesi, N.; Carta, 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.
Sample Condensation in Online Continual Learning
2022-01-01 Sangermano, M; Carta, A; Cossu, A; Bacciu, D
Avalanche: An end-to-end library for continual learning
2021-01-01 Lomonaco, V.; Pellegrini, L.; Cossu, A.; Carta, A.; Graffieti, G.; Hayes, T. L.; De Lange, M.; Masana, M.; Pomponi, J.; Van De Ven, G. M.; Mundt, M.; She, Q.; Cooper, K.; Forest, J.; Belouadah, E.; Calderara, S.; Parisi, G. I.; Cuzzolin, F.; Tolias, A. S.; Scardapane, S.; Antiga, L.; Ahmad, S.; Popescu, A.; Kanan, C.; Van De Weijer, J.; Tuytelaars, T.; Bacciu, D.; Maltoni, D.
Continual learning for recurrent neural networks: An empirical evaluation
2021-01-01 Cossu, A.; Carta, A.; Lomonaco, V.; Bacciu, D.
Continual Learning with Echo State Networks
2021-01-01 Cossu, Andrea; Bacciu, Davide; Carta, Antonio; Gallicchio, Claudio; Lomonaco, Vincenzo
Encoding-based memory for recurrent neural networks
2021-01-01 Carta, A.; Sperduti, A.; Bacciu, D.
TEACHING-Trustworthy autonomous cyber-physical applications through human-centred intelligence
2021-01-01 Bacciu, D.; Akarmazyan, S.; Armengaud, E.; Bacco, M.; Bravos, G.; Calandra, C.; Carlini, E.; Carta, A.; Cassara, P.; Coppola, M.; Davalas, C.; Dazzi, P.; Degennaro, M. C.; Di Sarli, D.; Dobaj, J.; Gallicchio, C.; Girbal, S.; Gotta, A.; Groppo, R.; Lomonaco, V.; Macher, G.; Mazzei, D.; Mencagli, G.; Michail, D.; Micheli, A.; Peroglio, R.; Petroni, S.; Potenza, R.; Pourdanesh, F.; Sardianos, C.; Tserpes, K.; Tagliabo, F.; Valtl, J.; Varlamis, I.; Veledar, O.
Towards Functional Safety Compliance of Recurrent Neural Networks
2021-01-01 Bacciu, Davide; Carta, Antonio; Di Sarli, Daniele; Gallicchio, Claudio; Lomonaco, Vincenzo; Petroni, Salvatore
Continual Learning with Gated Incremental Memories for sequential data processing
2020-01-01 Cossu, A.; Carta, A.; Bacciu, D.
Incremental Training of a Recurrent Neural Network Exploiting a Multi-Scale Dynamic Memory
2020-01-01 Carta, Antonio; Sperduti, Alessandro; Bacciu, Davide
Learning Style-Aware Symbolic Music Representations by Adversarial Autoencoders
2020-01-01 Valenti, Andrea; Carta, Antonio; Bacciu, Davide
Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization
2020-01-01 Carta, Antonio; Sperduti, Alessandro; Bacciu, Davide
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| 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 Simple Recipe to Meta-Learn Forward and Backward Transfer | 1-gen-2023 | Cetin, Edoardo; Carta, Antonio; Celiktutan, Oya | |
| Efficient Anomaly Detection on Temporal Data via Echo State Networks and Dynamic Thresholding | 1-gen-2023 | Carta, A.; Carfi, G.; De Caro, V.; Gallicchio, C. | |
| Safety and Robustness for Deep Neural Networks: An Automotive Use Case | 1-gen-2023 | Bacciu, Davide; Carta, Antonio; Gallicchio, Claudio; Schmittner, Christoph | |
| AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving | 1-gen-2022 | De Caro, V.; Bano, S.; Machumilane, A.; Gotta, A.; Cassara, P.; Carta, A.; Semola, R.; Sardianos, C.; Chronis, C.; Varlamis, I.; Tserpes, K.; Lomonaco, V.; Gallicchio, C.; Bacciu, D. | |
| Avalanche RL: A Continual Reinforcement Learning Library | 1-gen-2022 | Lucchesi, N.; Carta, 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. | |
| Sample Condensation in Online Continual Learning | 1-gen-2022 | Sangermano, M; Carta, A; Cossu, A; Bacciu, D | |
| Avalanche: An end-to-end library for continual learning | 1-gen-2021 | Lomonaco, V.; Pellegrini, L.; Cossu, A.; Carta, A.; Graffieti, G.; Hayes, T. L.; De Lange, M.; Masana, M.; Pomponi, J.; Van De Ven, G. M.; Mundt, M.; She, Q.; Cooper, K.; Forest, J.; Belouadah, E.; Calderara, S.; Parisi, G. I.; Cuzzolin, F.; Tolias, A. S.; Scardapane, S.; Antiga, L.; Ahmad, S.; Popescu, A.; Kanan, C.; Van De Weijer, J.; Tuytelaars, T.; Bacciu, D.; Maltoni, D. | |
| Continual learning for recurrent neural networks: An empirical evaluation | 1-gen-2021 | Cossu, A.; Carta, A.; Lomonaco, V.; Bacciu, D. | |
| Continual Learning with Echo State Networks | 1-gen-2021 | Cossu, Andrea; Bacciu, Davide; Carta, Antonio; Gallicchio, Claudio; Lomonaco, Vincenzo | |
| Encoding-based memory for recurrent neural networks | 1-gen-2021 | Carta, A.; Sperduti, A.; Bacciu, D. | |
| TEACHING-Trustworthy autonomous cyber-physical applications through human-centred intelligence | 1-gen-2021 | Bacciu, D.; Akarmazyan, S.; Armengaud, E.; Bacco, M.; Bravos, G.; Calandra, C.; Carlini, E.; Carta, A.; Cassara, P.; Coppola, M.; Davalas, C.; Dazzi, P.; Degennaro, M. C.; Di Sarli, D.; Dobaj, J.; Gallicchio, C.; Girbal, S.; Gotta, A.; Groppo, R.; Lomonaco, V.; Macher, G.; Mazzei, D.; Mencagli, G.; Michail, D.; Micheli, A.; Peroglio, R.; Petroni, S.; Potenza, R.; Pourdanesh, F.; Sardianos, C.; Tserpes, K.; Tagliabo, F.; Valtl, J.; Varlamis, I.; Veledar, O. | |
| Towards Functional Safety Compliance of Recurrent Neural Networks | 1-gen-2021 | Bacciu, Davide; Carta, Antonio; Di Sarli, Daniele; Gallicchio, Claudio; Lomonaco, Vincenzo; Petroni, Salvatore | |
| Continual Learning with Gated Incremental Memories for sequential data processing | 1-gen-2020 | Cossu, A.; Carta, A.; Bacciu, D. | |
| Incremental Training of a Recurrent Neural Network Exploiting a Multi-Scale Dynamic Memory | 1-gen-2020 | Carta, Antonio; Sperduti, Alessandro; Bacciu, Davide | |
| Learning Style-Aware Symbolic Music Representations by Adversarial Autoencoders | 1-gen-2020 | Valenti, Andrea; Carta, Antonio; Bacciu, Davide | |
| Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization | 1-gen-2020 | Carta, Antonio; Sperduti, Alessandro; Bacciu, Davide |