Antonio Carta

According to our database, Antonio Carta authored at least 40 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual Learning.

Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu, Joost van de Weijer

CoRR, 2023

Avalanche: A PyTorch Library for Deep Continual Learning.

Antonio Carta, Lorenzo Pellegrini, Andrea Cossu, Hamed Hemati, Vincenzo Lomonaco

CoRR, 2023

Safety and Robustness for Deep Neural Networks: An Automotive Use Case.

Davide Bacciu, Antonio Carta, Claudio Gallicchio, Christoph Schmittner

Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2023 Workshops, 2023

A Comprehensive Empirical Evaluation on Online Continual Learning.

Albin Soutif-Cormerais, Antonio Carta, Andrea Cossu, Julio Hurtado, Vincenzo Lomonaco, Joost van de Weijer, Hamed Hemati

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Simple Recipe to Meta-Learn Forward and Backward Transfer.

Edoardo Cetin, Antonio Carta, Oya Çeliktutan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

AI-Toolkit: A Microservices Architecture for Low-Code Decentralized Machine Intelligence.

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

Proceedings of the IEEE International Conference on Acoustics, 2023

Improving Online Continual Learning Performance and Stability with Temporal Ensembles.

Albin Soutif-Cormerais, Antonio Carta, Joost van de Weijer

Proceedings of the Conference on Lifelong Learning Agents, 2023

Class-Incremental Learning with Repetition.

Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Is Class-Incremental Enough for Continual Learning?

Andrea Cossu, Gabriele Graffieti, Lorenzo Pellegrini, Davide Maltoni, Davide Bacciu, Antonio Carta, Vincenzo Lomonaco

Frontiers Artif. Intell., 2022

Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark.

Antonio Carta, Andrea Cossu, Federico Errica, Davide Bacciu

Frontiers Artif. Intell., 2022

3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding.

Lorenzo Pellegrini, Chenchen Zhu, Fanyi Xiao, Zhicheng Yan, Antonio Carta, Matthias De Lange, Vincenzo Lomonaco, Roshan Sumbaly, Pau Rodríguez, David Vázquez

CoRR, 2022

Continual Pre-Training Mitigates Forgetting in Language and Vision.

Andrea Cossu, Tinne Tuytelaars, Antonio Carta, Lucia C. Passaro, Vincenzo Lomonaco, Davide Bacciu

CoRR, 2022

Avalanche RL: a Continual Reinforcement Learning Library.

Nicolò Lucchesi, Antonio Carta, Vincenzo Lomonaco

CoRR, 2022

Efficient Anomaly Detection on Temporal Data via Echo State Networks and Dynamic Thresholding.

Antonio Carta, Giacomo Carfì, Valerio De Caro, Claudio Gallicchio

Proceedings of the 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), 2022

AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving.

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

Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022

Sample Condensation in Online Continual Learning.

Mattia Sangermano, Antonio Carta, Andrea Cossu, Davide Bacciu

Proceedings of the International Joint Conference on Neural Networks, 2022

Practical Recommendations for Replay-Based Continual Learning Methods.

Gabriele Merlin, Vincenzo Lomonaco, Andrea Cossu, Antonio Carta, Davide Bacciu

Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

Avalanche RL: A Continual Reinforcement Learning Library.

Nicolò Lucchesi, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu

Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Ex-Model: Continual Learning from a Stream of Trained Models.

Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Memorization in Recurrent Neural Networks.

Antonio Carta

PhD thesis, 2021

Continual learning for recurrent neural networks: An empirical evaluation.

Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu

Neural Networks, 2021

Encoding-based memory for recurrent neural networks.

Antonio Carta, Alessandro Sperduti, Davide Bacciu

Neurocomputing, 2021

Avalanche: an End-to-End Library for Continual Learning.

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

CoRR, 2021

Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification.

Antonio Carta, Andrea Cossu, Federico Errica, Davide Bacciu

CoRR, 2021

Distilled Replay: Overcoming Forgetting Through Synthetic Samples.

Andrea Rosasco, Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu

Proceedings of the Continual Semi-Supervised Learning - First International Workshop, 2021

Continual Learning with Echo State Networks.

Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Avalanche: An End-to-End Library for Continual Learning.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence.

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

Proceedings of the 2021 IEEE International Conference on Omni-Layer Intelligent Systems, 2021

2020

Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization.

Antonio Carta, Alessandro Sperduti, Davide Bacciu

CoRR, 2020

Encoding-based Memory Modules for Recurrent Neural Networks.

Antonio Carta, Alessandro Sperduti, Davide Bacciu

CoRR, 2020

Learning a Latent Space of Style-Aware Symbolic Music Representations by Adversarial Autoencoders.

Andrea Valenti, Antonio Carta, Davide Bacciu

CoRR, 2020

Incremental Training of a Recurrent Neural Network Exploiting a Multi-scale Dynamic Memory.

Antonio Carta, Alessandro Sperduti, Davide Bacciu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Continual Learning with Gated Incremental Memories for sequential data processing.

Andrea Cossu, Antonio Carta, Davide Bacciu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Learning Style-Aware Symbolic Music Representations by Adversarial Autoencoders.

Andrea Valenti, Antonio Carta, Davide Bacciu

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Sequential Sentence Embeddings for Semantic Similarity.

Antonio Carta, Davide Bacciu

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Linear Memory Networks.

Davide Bacciu, Antonio Carta, Alessandro Sperduti

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Explicit Memorization for Recurrent Neural Networks with Autoencoders.

Antonio Carta

Proceedings of the Discussion and Doctoral Consortium papers of AI*IA 2019, 2019

2017

An experience in using machine learning for short-term predictions in smart transportation systems.

Davide Bacciu, Antonio Carta, Stefania Gnesi, Laura Semini

J. Log. Algebraic Methods Program., 2017

FA3L at SemEval-2017 Task 3: A ThRee Embeddings Recurrent Neural Network for Question Answering.

Giuseppe Attardi, Antonio Carta, Federico Errica, Andrea Madotto, Ludovica Pannitto

Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

2016

Adopting a Machine Learning Approach in the Design of Smart Transportation Systems.

Davide Bacciu, Antonio Carta, Stefania Gnesi, Laura Semini

ERCIM News, 2016