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ORCIDAntonio Carta
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- affiliation: University of Pisa, Italy
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2020 – today
- 2024
[j8]Antonio Carta
, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu, Joost van de Weijer:
Projected Latent Distillation for Data-Agnostic Consolidation in distributed continual learning. Neurocomputing 598: 127935 (2024)- [j7]Andrea Cossu, Antonio Carta, Lucia C. Passaro, Vincenzo Lomonaco, Tinne Tuytelaars, Davide Bacciu:
Continual pre-training mitigates forgetting in language and vision. Neural Networks 179: 106492 (2024) - [c25]Edoardo Urettini, Daniele Atzeni, Reshawn Ramjattan, Antonio Carta:
GAS-Norm: Score-Driven Adaptive Normalization for Non-Stationary Time Series Forecasting in Deep Learning. CIKM 2024: 2282-2291 - [c24]Alberto Roberto Marinelli, Antonio Carta, Lucia C. Passaro:
Updating knowledge in Large Language Models: an Empirical Evaluation. EAIS 2024: 1-8 - [i27]Edoardo Urettini, Daniele Atzeni, Reshawn J. Ramjattan, Antonio Carta:
GAS-Norm: Score-Driven Adaptive Normalization for Non-Stationary Time Series Forecasting in Deep Learning. CoRR abs/2410.03935 (2024) - 2023
- [j6]Antonio Carta, Lorenzo Pellegrini, Andrea Cossu, Hamed Hemati, Vincenzo Lomonaco:
Avalanche: A PyTorch Library for Deep Continual Learning. J. Mach. Learn. Res. 24: 363:1-363:6 (2023) - [c23]Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth:
Class-Incremental Learning with Repetition. CoLLAs 2023: 437-455 - [c22]Albin Soutif-Cormerais, Antonio Carta, Joost van de Weijer:
Improving Online Continual Learning Performance and Stability with Temporal Ensembles. CoLLAs 2023: 828-845 - [c21]Vincenzo Lomonaco, Valerio De Caro, Claudio Gallicchio, Antonio Carta, Christos Sardianos, Iraklis Varlamis, Konstantinos Tserpes, Massimo Coppola, Mina Marmpena, Sevasti Politi, Erwin Schoitsch, Davide Bacciu:
AI-Toolkit: A Microservices Architecture for Low-Code Decentralized Machine Intelligence. ICASSP Workshops 2023: 1-5 - [c20]Edoardo Cetin, Antonio Carta, Oya Çeliktutan:
A Simple Recipe to Meta-Learn Forward and Backward Transfer. ICCV 2023: 18686-18696 - [c19]Albin Soutif-Cormerais, Antonio Carta, Andrea Cossu, Julio Hurtado, Vincenzo Lomonaco, Joost van de Weijer, Hamed Hemati:
A Comprehensive Empirical Evaluation on Online Continual Learning. ICCV (Workshops) 2023: 3510-3520 - [c18]Davide Bacciu, Antonio Carta, Claudio Gallicchio, Christoph Schmittner:
Safety and Robustness for Deep Neural Networks: An Automotive Use Case. SAFECOMP Workshops 2023: 95-107 - [e1]Marco Pegoraro, Davide Bacciu, Andrea Burattin, Antonio Carta, Patrizio Dazzi, Massimiliano de Leoni, Magdalini Eirinaki, Iraklis Varlamis:
Joint Proceedings of the 1st International Workshop on Computational Intelligence for Process Mining (CI4PM 2022) and the 1st International Workshop on Pervasive Artificial Intelligence (PAI 2022), co-located with the IEEE World Congress on Computational Intelligence (WCCI 2022), Padua, Italy, July 18-23, 2022., Padua, Italy, July 18-23, 2022. CEUR Workshop Proceedings 3350, CEUR-WS.org 2023 [contents] - [i26]Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth:
Class-Incremental Learning with Repetition. CoRR abs/2301.11396 (2023) - [i25]Antonio Carta, Lorenzo Pellegrini, Andrea Cossu, Hamed Hemati, Vincenzo Lomonaco:
Avalanche: A PyTorch Library for Deep Continual Learning. CoRR abs/2302.01766 (2023) - [i24]Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu, Joost van de Weijer:
Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual Learning. CoRR abs/2303.15888 (2023) - [i23]Albin Soutif-Cormerais, Antonio Carta, Joost van de Weijer:
Improving Online Continual Learning Performance and Stability with Temporal Ensembles. CoRR abs/2306.16817 (2023) - [i22]Albin Soutif-Cormerais, Antonio Carta, Andrea Cossu, Julio Hurtado, Vincenzo Lomonaco, Joost van de Weijer, Hamed Hemati:
A Comprehensive Empirical Evaluation on Online Continual Learning. CoRR abs/2308.10328 (2023) - 2022
- [j5]Antonio Carta, Andrea Cossu, Federico Errica, Davide Bacciu:
Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark. Frontiers Artif. Intell. 5: 824655 (2022) - [j4]Andrea Cossu, Gabriele Graffieti, Lorenzo Pellegrini, Davide Maltoni, Davide Bacciu, Antonio Carta, Vincenzo Lomonaco:
Is Class-Incremental Enough for Continual Learning? Frontiers Artif. Intell. 5: 829842 (2022) - [c17]Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu:
Ex-Model: Continual Learning from a Stream of Trained Models. CVPR Workshops 2022: 3789-3798 - [c16]Nicolò Lucchesi, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu:
Avalanche RL: A Continual Reinforcement Learning Library. ICIAP (1) 2022: 524-535 - [c15]Gabriele Merlin, Vincenzo Lomonaco, Andrea Cossu, Antonio Carta, Davide Bacciu:
Practical Recommendations for Replay-Based Continual Learning Methods. ICIAP Workshops 2022: 548-559 - [c14]Mattia Sangermano, Antonio Carta, Andrea Cossu, Davide Bacciu:
Sample Condensation in Online Continual Learning. IJCNN 2022: 1-8 - [c13]Valerio De Caro, Saira Bano, Achilles Machumilane, Alberto Gotta, Pietro Cassarà, Antonio Carta, Rudy Semola, Christos Sardianos, Christos Chronis, Iraklis Varlamis, Konstantinos Tserpes, Vincenzo Lomonaco, Claudio Gallicchio, Davide Bacciu:
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving. PerCom Workshops 2022: 91-93 - [c12]Antonio Carta, Giacomo Carfì, Valerio De Caro, Claudio Gallicchio:
Efficient Anomaly Detection on Temporal Data via Echo State Networks and Dynamic Thresholding. CI4PM/PAI@WCCI 2022: 56-67 - [i21]Valerio De Caro, Saira Bano, Achilles Machumilane, Alberto Gotta, Pietro Cassarà, Antonio Carta, Rudy Semola, Christos Sardianos, Christos Chronis, Iraklis Varlamis, Konstantinos Tserpes, Vincenzo Lomonaco, Claudio Gallicchio, Davide Bacciu:
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving. CoRR abs/2202.01645 (2022) - [i20]Nicolò Lucchesi, Antonio Carta, Vincenzo Lomonaco:
Avalanche RL: a Continual Reinforcement Learning Library. CoRR abs/2202.13657 (2022) - [i19]Gabriele Merlin, Vincenzo Lomonaco, Andrea Cossu, Antonio Carta, Davide Bacciu:
Practical Recommendations for Replay-based Continual Learning Methods. CoRR abs/2203.10317 (2022) - [i18]Andrea Cossu, Tinne Tuytelaars, Antonio Carta, Lucia C. Passaro, Vincenzo Lomonaco, Davide Bacciu:
Continual Pre-Training Mitigates Forgetting in Language and Vision. CoRR abs/2205.09357 (2022) - [i17]Mattia Sangermano, Antonio Carta, Andrea Cossu, Davide Bacciu:
Sample Condensation in Online Continual Learning. CoRR abs/2206.11849 (2022) - [i16]Lorenzo Pellegrini, Chenchen Zhu, Fanyi Xiao, Zhicheng Yan, Antonio Carta, Matthias De Lange, Vincenzo Lomonaco, Roshan Sumbaly, Pau Rodríguez, David Vázquez:
3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding. CoRR abs/2212.06833 (2022) - 2021
- [b1]Antonio Carta:
Memorization in Recurrent Neural Networks. University of Pisa, Italy, 2021 - [j3]Antonio Carta, Alessandro Sperduti, Davide Bacciu:
Encoding-based memory for recurrent neural networks. Neurocomputing 456: 407-420 (2021) - [j2]Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu:
Continual learning for recurrent neural networks: An empirical evaluation. Neural Networks 143: 607-627 (2021) - [c11]Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassarà, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela De Gennaro, Daniele Di Sarli, Jürgen Dobaj, Claudio Gallicchio, Sylvain Girbal, Alberto Gotta, Riccardo Groppo, Vincenzo Lomonaco, Georg Macher, Daniele Mazzei, Gabriele Mencagli, Dimitrios Michail, Alessio Micheli, Roberta Peroglio, Salvatore Petroni, Rosaria Potenza, Farank Pourdanesh, Christos Sardianos, Konstantinos Tserpes, Fulvio Tagliabo, Jakob Valtl, Iraklis Varlamis, Omar Veledar:
TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. COINS 2021: 1-6 - [c10]Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni:
Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops 2021: 3600-3610 - [c9]Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco:
Continual Learning with Echo State Networks. ESANN 2021 - [c8]Andrea Rosasco, Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu:
Distilled Replay: Overcoming Forgetting Through Synthetic Samples. CSSL 2021: 104-117 - [i15]Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu:
Continual Learning for Recurrent Neural Networks: an Empirical Evaluation. CoRR abs/2103.07492 (2021) - [i14]Antonio Carta, Andrea Cossu, Federico Errica, Davide Bacciu:
Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification. CoRR abs/2103.11750 (2021) - [i13]Andrea Rosasco, Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu:
Distilled Replay: Overcoming Forgetting through Synthetic Samples. CoRR abs/2103.15851 (2021) - [i12]Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni:
Avalanche: an End-to-End Library for Continual Learning. CoRR abs/2104.00405 (2021) - [i11]Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco:
Continual Learning with Echo State Networks. CoRR abs/2105.07674 (2021) - [i10]Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassarà, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela De Gennaro, Daniele Di Sarli, Jürgen Dobaj, Claudio Gallicchio, Sylvain Girbal, Alberto Gotta, Riccardo Groppo, Vincenzo Lomonaco, Georg Macher, Daniele Mazzei, Gabriele Mencagli, Dimitrios Michail, Alessio Micheli, Roberta Peroglio, Salvatore Petroni, Rosaria Potenza, Farank Pourdanesh, Christos Sardianos, Konstantinos Tserpes, Fulvio Tagliabo, Jakob Valtl, Iraklis Varlamis, Omar Veledar:
TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. CoRR abs/2107.06543 (2021) - [i9]Andrea Cossu, Gabriele Graffieti, Lorenzo Pellegrini, Davide Maltoni, Davide Bacciu, Antonio Carta, Vincenzo Lomonaco:
Is Class-Incremental Enough for Continual Learning? CoRR abs/2112.02925 (2021) - [i8]Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu:
Ex-Model: Continual Learning from a Stream of Trained Models. CoRR abs/2112.06511 (2021) - 2020
- [c7]Andrea Valenti, Antonio Carta, Davide Bacciu:
Learning Style-Aware Symbolic Music Representations by Adversarial Autoencoders. ECAI 2020: 1563-1570 - [c6]Andrea Cossu, Antonio Carta, Davide Bacciu:
Continual Learning with Gated Incremental Memories for sequential data processing. IJCNN 2020: 1-8 - [c5]Antonio Carta, Alessandro Sperduti, Davide Bacciu:
Incremental Training of a Recurrent Neural Network Exploiting a Multi-scale Dynamic Memory. ECML/PKDD (1) 2020: 677-693 - [i7]Andrea Valenti, Antonio Carta, Davide Bacciu:
Learning a Latent Space of Style-Aware Symbolic Music Representations by Adversarial Autoencoders. CoRR abs/2001.05494 (2020) - [i6]Antonio Carta, Alessandro Sperduti, Davide Bacciu:
Encoding-based Memory Modules for Recurrent Neural Networks. CoRR abs/2001.11771 (2020) - [i5]Andrea Cossu, Antonio Carta, Davide Bacciu:
Continual Learning with Gated Incremental Memories for sequential data processing. CoRR abs/2004.04077 (2020) - [i4]Antonio Carta, Alessandro Sperduti, Davide Bacciu:
Incremental Training of a Recurrent Neural Network Exploiting a Multi-Scale Dynamic Memory. CoRR abs/2006.16800 (2020) - [i3]Antonio Carta, Alessandro Sperduti, Davide Bacciu:
Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization. CoRR abs/2011.02886 (2020)
2010 – 2019
- 2019
- [c4]Antonio Carta:
Explicit Memorization for Recurrent Neural Networks with Autoencoders. DDC@AI*IA 2019: 95-100 - [c3]Davide Bacciu, Antonio Carta, Alessandro Sperduti:
Linear Memory Networks. ICANN (1) 2019: 513-525 - [c2]Antonio Carta, Davide Bacciu:
Sequential Sentence Embeddings for Semantic Similarity. SSCI 2019: 1354-1361 - 2018
- [i2]Davide Bacciu, Antonio Carta, Alessandro Sperduti:
Linear Memory Networks. CoRR abs/1811.03356 (2018) - 2017
- [j1]Davide Bacciu, Antonio Carta, Stefania Gnesi, Laura Semini:
An experience in using machine learning for short-term predictions in smart transportation systems. J. Log. Algebraic Methods Program. 87: 52-66 (2017) - [c1]Giuseppe Attardi, Antonio Carta, Federico Errica, Andrea Madotto, Ludovica Pannitto:
FA3L at SemEval-2017 Task 3: A ThRee Embeddings Recurrent Neural Network for Question Answering. SemEval@ACL 2017: 299-304 - 2016
- [i1]Davide Bacciu, Antonio Carta, Stefania Gnesi, Laura Semini:
Adopting a Machine Learning Approach in the Design of Smart Transportation Systems. ERCIM News 2016(105) (2016)
Coauthor Index
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