Antonio Carta

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 57

Top Topics

Incremental Learning

Empirical Evaluation

Top Venues

Frontiers Artif. Intell.

Neural Networks

Publications

Alberto Roberto Marinelli, Antonio Carta, Lucia C. Passaro
Updating knowledge in Large Language Models: an Empirical Evaluation. EAIS (2024)
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 (2024)
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 (2024)
Antonio Carta, Lorenzo Pellegrini, Andrea Cossu, Hamed Hemati, Vincenzo Lomonaco
Avalanche: A PyTorch Library for Deep Continual Learning. CoRR (2023)
Albin Soutif-Cormerais, Antonio Carta, Joost van de Weijer
Improving Online Continual Learning Performance and Stability with Temporal Ensembles. CoLLAs (2023)
Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth
Class-Incremental Learning with Repetition. CoLLAs (2023)
Davide Bacciu, Antonio Carta, Claudio Gallicchio, Christoph Schmittner
Safety and Robustness for Deep Neural Networks: An Automotive Use Case. SAFECOMP Workshops (2023)
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 (2023)
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)
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)
Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu, Joost van de Weijer
Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual Learning. CoRR (2023)
Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth
Class-Incremental Learning with Repetition. CoRR (2023)
Edoardo Cetin, Antonio Carta, Oya Çeliktutan
A Simple Recipe to Meta-Learn Forward and Backward Transfer. ICCV (2023)
Albin Soutif-Cormerais, Antonio Carta, Joost van de Weijer
Improving Online Continual Learning Performance and Stability with Temporal Ensembles. CoRR (2023)
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 (2022)
Antonio Carta, Andrea Cossu, Federico Errica, Davide Bacciu
Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark. Frontiers Artif. Intell. 5 (2022)
Gabriele Merlin, Vincenzo Lomonaco, Andrea Cossu, Antonio Carta, Davide Bacciu
Practical Recommendations for Replay-Based Continual Learning Methods. ICIAP Workshops (2022)
Mattia Sangermano, Antonio Carta, Andrea Cossu, Davide Bacciu
Sample Condensation in Online Continual Learning. CoRR (2022)
Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu
Ex-Model: Continual Learning from a Stream of Trained Models. CVPR Workshops (2022)
Nicolò Lucchesi, Antonio Carta, Vincenzo Lomonaco
Avalanche RL: a Continual Reinforcement Learning Library. CoRR (2022)
Mattia Sangermano, Antonio Carta, Andrea Cossu, Davide Bacciu
Sample Condensation in Online Continual Learning. IJCNN (2022)
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)
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)
Gabriele Merlin, Vincenzo Lomonaco, Andrea Cossu, Antonio Carta, Davide Bacciu
Practical Recommendations for Replay-based Continual Learning Methods. CoRR (2022)
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 (2022)
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 (2022)
Andrea Cossu, Tinne Tuytelaars, Antonio Carta, Lucia C. Passaro, Vincenzo Lomonaco, Davide Bacciu
Continual Pre-Training Mitigates Forgetting in Language and Vision. CoRR (2022)
Nicolò Lucchesi, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu
Avalanche RL: A Continual Reinforcement Learning Library. ICIAP (1) (2022)
Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu
Continual learning for recurrent neural networks: An empirical evaluation. Neural Networks 143 (2021)
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 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)
Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu
Continual Learning for Recurrent Neural Networks: an Empirical Evaluation. CoRR (2021)
Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco
Continual Learning with Echo State Networks. CoRR (2021)
Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco
Continual Learning with Echo State Networks. ESANN (2021)
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 (2021)
Andrea Cossu, Gabriele Graffieti, Lorenzo Pellegrini, Davide Maltoni, Davide Bacciu, Antonio Carta, Vincenzo Lomonaco
Is Class-Incremental Enough for Continual Learning? CoRR (2021)
Andrea Rosasco, Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu
Distilled Replay: Overcoming Forgetting Through Synthetic Samples. CSSL (2021)
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)
Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu
Ex-Model: Continual Learning from a Stream of Trained Models. CoRR (2021)
Antonio Carta, Alessandro Sperduti, Davide Bacciu
Encoding-based memory for recurrent neural networks. Neurocomputing 456 (2021)
Antonio Carta, Andrea Cossu, Federico Errica, Davide Bacciu
Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification. CoRR (2021)
Andrea Rosasco, Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu
Distilled Replay: Overcoming Forgetting through Synthetic Samples. CoRR (2021)
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 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 (2021)
Antonio Carta, Alessandro Sperduti, Davide Bacciu
Encoding-based Memory Modules for Recurrent Neural Networks. CoRR (2020)
Andrea Cossu, Antonio Carta, Davide Bacciu
Continual Learning with Gated Incremental Memories for sequential data processing. CoRR (2020)
Andrea Valenti, Antonio Carta, Davide Bacciu
Learning a Latent Space of Style-Aware Symbolic Music Representations by Adversarial Autoencoders. CoRR (2020)
Antonio Carta, Alessandro Sperduti, Davide Bacciu
Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization. CoRR (2020)
Antonio Carta, Alessandro Sperduti, Davide Bacciu
Incremental Training of a Recurrent Neural Network Exploiting a Multi-Scale Dynamic Memory. CoRR (2020)
Andrea Valenti, Antonio Carta, Davide Bacciu
Learning Style-Aware Symbolic Music Representations by Adversarial Autoencoders. ECAI (2020)
Andrea Cossu, Antonio Carta, Davide Bacciu
Continual Learning with Gated Incremental Memories for sequential data processing. IJCNN (2020)
Antonio Carta, Alessandro Sperduti, Davide Bacciu
Incremental Training of a Recurrent Neural Network Exploiting a Multi-scale Dynamic Memory. ECML/PKDD (1) (2020)
Antonio Carta
Explicit Memorization for Recurrent Neural Networks with Autoencoders. DDC@AI*IA (2019)
Davide Bacciu, Antonio Carta, Alessandro Sperduti
Linear Memory Networks. ICANN (1) (2019)
Antonio Carta, Davide Bacciu
Sequential Sentence Embeddings for Semantic Similarity. SSCI (2019)
Davide Bacciu, Antonio Carta, Alessandro Sperduti
Linear Memory Networks. CoRR (2018)
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)
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 (2017)
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)