Antonio Carta - RankMe

72 papers A* 2A 2B 3Misc 1Journal 42Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Modular Memory is the Key to Continual Learning Agents. CoRR Vaggelis Dorovatas, Malte Schwerin, Andrew D. Bagdanov, Lucas Caccia, Antonio Carta, Laurent Charlin, Barbara Hammer, Tyler L. Hayes, Timm Hess, Christopher Kanan, Dhireesha Kudithipudi, Xialei Liu, Vincenzo Lomonaco, Jorge Mendez-Mendez, Darshan Patil, Ameya Prabhu, Elisa Ricci, Tinne Tuytelaars, Gido M. van de Ven, Liyuan Wang, Joost van de Weijer, Jonghyun Choi, Martin Mundt, Rahaf Aljundi
2026	J	`jnl`	Not All Layers Are Created Equal: Adaptive LoRA Ranks for Personalized Image Generation. CoRR Donald Shenaj, Federico Errica, Antonio Carta
2026	J	`jnl`	Online Continual Learning for Time Series: a Natural Score-driven Approach. CoRR Edoardo Urettini, Daniele Atzeni, Ioanna-Yvonni Tsaknaki, Antonio Carta
2025	J	`jnl`	CLA: Latent Alignment for Online Continual Self-Supervised Learning. CoRR Giovanni A. Cignoni, Andrea Cossu, Alexandra Gomez-Villa, Joost van de Weijer, Antonio Carta
2025	Misc	`conf`	CoEvolution: A Comprehensive Trustworthy Framework For Connected Machine Learning And Secure Interconnected AI Solutions. CSR Antonios Makris, Apostolos P. Fournaris, Anita Aghaie, Ioannis Arakas, Anna Maria Anaxagorou, Ioannis Arapakis, Davide Bacciu, Battista Biggio, Georgios Bouloukakis, Stavros Bouras, Arne Bröring, Antonio Carta, Marco Caselli, Olympia Giannakopoulou, Nikolaos Gkatzios, Alexandros Gkillas, Evangelos Haleplidis, Sotiris Ioannidis, Eleni-Maria Kalogeraki, Panagiotis Karantzias, Emmanouil Kritharakis, Aris S. Lalos, David Lenk, Stella Markopoulou, Entrit Metai, Andreas Miaoudakis, Haralambos Mouratidis, Jihane Najar, Theodor Panagiotakopoulos, Bernhard Peischl, Maura Pintor, Nikos Piperigkos, Vassilis Prevelakis, Carlos Segura, Georgios Spanoudakis, Orestis Tsirakis, Omar Veledar, Konstantinos Tserpes
2025	J	`jnl`	Continual Learning Should Move Beyond Incremental Classification. CoRR Rupert Mitchell, Antonio Alliegro, Raffaello Camoriano, Dustin Carrión-Ojeda, Antonio Carta, Georgia Chalvatzaki, Nikhil Churamani, Carlo D'Eramo, Samin Hamidi, Robin Hesse, Fabian Hinder, Roshni Kamath, Vincenzo Lomonaco, Subarnaduti Paul, Francesca Pistilli, Tinne Tuytelaars, Gido M. van de Ven, Kristian Kersting, Simone Schaub-Meyer, Martin Mundt
2025	J	`jnl`	Online Curvature-Aware Replay: Leveraging 2 CoRR Edoardo Urettini, Antonio Carta
2025	A*	`conf`	Online Curvature-Aware Replay: Leveraging 2nd Order Information for Online Continual Learning. ICML Edoardo Urettini, Antonio Carta
2025	J	`jnl`	Replay-free Online Continual Learning with Self-Supervised MultiPatches. CoRR Giovanni A. Cignoni, Andrea Cossu, Alex Gomez-Villa, Joost van de Weijer, Antonio Carta
2024	J	`jnl`	Continual pre-training mitigates forgetting in language and vision. Neural Networks Andrea Cossu, Antonio Carta, Lucia C. Passaro, Vincenzo Lomonaco, Tinne Tuytelaars, Davide Bacciu
2024	A	`conf`	GAS-Norm: Score-Driven Adaptive Normalization for Non-Stationary Time Series Forecasting in Deep Learning. CIKM Edoardo Urettini, Daniele Atzeni, Reshawn Ramjattan, Antonio Carta
2024	J	`jnl`	GAS-Norm: Score-Driven Adaptive Normalization for Non-Stationary Time Series Forecasting in Deep Learning. CoRR Edoardo Urettini, Daniele Atzeni, Reshawn J. Ramjattan, Antonio Carta
2024	J	`jnl`	Projected Latent Distillation for Data-Agnostic Consolidation in distributed continual learning. Neurocomputing Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu, Joost van de Weijer
2024	—	`conf`	Updating knowledge in Large Language Models: an Empirical Evaluation. EAIS Alberto Roberto Marinelli, Antonio Carta, Lucia C. Passaro
2023	—	`conf`	A Comprehensive Empirical Evaluation on Online Continual Learning. ICCV (Workshops) Albin Soutif-Cormerais, Antonio Carta, Andrea Cossu, Julio Hurtado, Vincenzo Lomonaco, Joost van de Weijer, Hamed Hemati
2023	J	`jnl`	A Comprehensive Empirical Evaluation on Online Continual Learning. CoRR Albin Soutif-Cormerais, Antonio Carta, Andrea Cossu, Julio Hurtado, Vincenzo Lomonaco, Joost van de Weijer, Hamed Hemati
2023	A*	`conf`	A Simple Recipe to Meta-Learn Forward and Backward Transfer. ICCV Edoardo Cetin, Antonio Carta, Oya Çeliktutan
2023	—	`conf`	AI-Toolkit: A Microservices Architecture for Low-Code Decentralized Machine Intelligence. ICASSP Workshops 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
2023	J	`jnl`	Avalanche: A PyTorch Library for Deep Continual Learning. CoRR Antonio Carta, Lorenzo Pellegrini, Andrea Cossu, Hamed Hemati, Vincenzo Lomonaco
2023	J	`jnl`	Avalanche: A PyTorch Library for Deep Continual Learning. J. Mach. Learn. Res. Antonio Carta, Lorenzo Pellegrini, Andrea Cossu, Hamed Hemati, Vincenzo Lomonaco
2023	—	`conf`	CD-IMM: The Benefits of Domain-based Mixture Models in Bayesian Continual Learning. CLAI Unconf Daniele Castellana, Antonio Carta, Davide Bacciu
2023	—	`conf`	Class-Incremental Learning with Repetition. CoLLAs Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth
2023	J	`jnl`	Class-Incremental Learning with Repetition. CoRR Hamed Hemati, Andrea Cossu, Antonio Carta, Julio Hurtado, Lorenzo Pellegrini, Davide Bacciu, Vincenzo Lomonaco, Damian Borth
2023	—	`conf`	Improving Online Continual Learning Performance and Stability with Temporal Ensembles. CoLLAs Albin Soutif-Cormerais, Antonio Carta, Joost van de Weijer
2023	J	`jnl`	Improving Online Continual Learning Performance and Stability with Temporal Ensembles. CoRR Albin Soutif-Cormerais, Antonio Carta, Joost van de Weijer
2023	—	`ed.`	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. CI4PM/PAI@WCCI Marco Pegoraro, Davide Bacciu, Andrea Burattin, Antonio Carta, Patrizio Dazzi, Massimiliano de Leoni, Magdalini Eirinaki, Iraklis Varlamis
2023	J	`jnl`	Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual Learning. CoRR Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu, Joost van de Weijer
2023	—	`conf`	Safety and Robustness for Deep Neural Networks: An Automotive Use Case. SAFECOMP Workshops Davide Bacciu, Antonio Carta, Claudio Gallicchio, Christoph Schmittner
2022	J	`jnl`	3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding. CoRR Lorenzo Pellegrini, Chenchen Zhu, Fanyi Xiao, Zhicheng Yan, Antonio Carta, Matthias De Lange, Vincenzo Lomonaco, Roshan Sumbaly, Pau Rodríguez, David Vázquez
2022	—	`conf`	AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving. PerCom Workshops 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
2022	J	`jnl`	AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving. CoRR 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
2022	—	`conf`	Avalanche RL: A Continual Reinforcement Learning Library. ICIAP (1) Nicolò Lucchesi, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu
2022	J	`jnl`	Avalanche RL: a Continual Reinforcement Learning Library. CoRR Nicolò Lucchesi, Antonio Carta, Vincenzo Lomonaco
2022	J	`jnl`	Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark. Frontiers Artif. Intell. Antonio Carta, Andrea Cossu, Federico Errica, Davide Bacciu
2022	J	`jnl`	Continual Pre-Training Mitigates Forgetting in Language and Vision. CoRR Andrea Cossu, Tinne Tuytelaars, Antonio Carta, Lucia C. Passaro, Vincenzo Lomonaco, Davide Bacciu
2022	—	`conf`	Efficient Anomaly Detection on Temporal Data via Echo State Networks and Dynamic Thresholding. CI4PM/PAI@WCCI Antonio Carta, Giacomo Carfì, Valerio De Caro, Claudio Gallicchio
2022	—	`conf`	Ex-Model: Continual Learning from a Stream of Trained Models. CVPR Workshops Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu
2022	J	`jnl`	Is Class-Incremental Enough for Continual Learning? Frontiers Artif. Intell. Andrea Cossu, Gabriele Graffieti, Lorenzo Pellegrini, Davide Maltoni, Davide Bacciu, Antonio Carta, Vincenzo Lomonaco
2022	—	`conf`	Practical Recommendations for Replay-Based Continual Learning Methods. ICIAP Workshops Gabriele Merlin, Vincenzo Lomonaco, Andrea Cossu, Antonio Carta, Davide Bacciu
2022	J	`jnl`	Practical Recommendations for Replay-based Continual Learning Methods. CoRR Gabriele Merlin, Vincenzo Lomonaco, Andrea Cossu, Antonio Carta, Davide Bacciu
2022	B	`conf`	Sample Condensation in Online Continual Learning. IJCNN Mattia Sangermano, Antonio Carta, Andrea Cossu, Davide Bacciu
2022	J	`jnl`	Sample Condensation in Online Continual Learning. CoRR Mattia Sangermano, Antonio Carta, Andrea Cossu, Davide Bacciu
2021	—	`conf`	Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops 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
2021	J	`jnl`	Avalanche: an End-to-End Library for Continual Learning. CoRR 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
2021	J	`jnl`	Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification. CoRR Antonio Carta, Andrea Cossu, Federico Errica, Davide Bacciu
2021	J	`jnl`	Continual Learning for Recurrent Neural Networks: an Empirical Evaluation. CoRR Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu
2021	B	`conf`	Continual Learning with Echo State Networks. ESANN Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco
2021	J	`jnl`	Continual Learning with Echo State Networks. CoRR Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco
2021	J	`jnl`	Continual learning for recurrent neural networks: An empirical evaluation. Neural Networks Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu
2021	—	`conf`	Distilled Replay: Overcoming Forgetting Through Synthetic Samples. CSSL Andrea Rosasco, Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu
2021	J	`jnl`	Distilled Replay: Overcoming Forgetting through Synthetic Samples. CoRR Andrea Rosasco, Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu
2021	J	`jnl`	Encoding-based memory for recurrent neural networks. Neurocomputing Antonio Carta, Alessandro Sperduti, Davide Bacciu
2021	J	`jnl`	Ex-Model: Continual Learning from a Stream of Trained Models. CoRR Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu
2021	J	`jnl`	Is Class-Incremental Enough for Continual Learning? CoRR Andrea Cossu, Gabriele Graffieti, Lorenzo Pellegrini, Davide Maltoni, Davide Bacciu, Antonio Carta, Vincenzo Lomonaco
2021	—	`—`	Memorization in Recurrent Neural Networks. Antonio Carta
2021	—	`conf`	TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. COINS 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
2021	J	`jnl`	TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. CoRR 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
2020	B	`conf`	Continual Learning with Gated Incremental Memories for sequential data processing. IJCNN Andrea Cossu, Antonio Carta, Davide Bacciu
2020	J	`jnl`	Continual Learning with Gated Incremental Memories for sequential data processing. CoRR Andrea Cossu, Antonio Carta, Davide Bacciu
2020	J	`jnl`	Encoding-based Memory Modules for Recurrent Neural Networks. CoRR Antonio Carta, Alessandro Sperduti, Davide Bacciu
2020	J	`jnl`	Incremental Training of a Recurrent Neural Network Exploiting a Multi-Scale Dynamic Memory. CoRR Antonio Carta, Alessandro Sperduti, Davide Bacciu
2020	—	`conf`	Incremental Training of a Recurrent Neural Network Exploiting a Multi-scale Dynamic Memory. ECML/PKDD (1) Antonio Carta, Alessandro Sperduti, Davide Bacciu
2020	A	`conf`	Learning Style-Aware Symbolic Music Representations by Adversarial Autoencoders. ECAI Andrea Valenti, Antonio Carta, Davide Bacciu
2020	J	`jnl`	Learning a Latent Space of Style-Aware Symbolic Music Representations by Adversarial Autoencoders. CoRR Andrea Valenti, Antonio Carta, Davide Bacciu
2020	J	`jnl`	Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization. CoRR Antonio Carta, Alessandro Sperduti, Davide Bacciu
2019	—	`conf`	Explicit Memorization for Recurrent Neural Networks with Autoencoders. DDC@AI*IA Antonio Carta
2019	—	`conf`	Linear Memory Networks. ICANN (1) Davide Bacciu, Antonio Carta, Alessandro Sperduti
2019	—	`conf`	Sequential Sentence Embeddings for Semantic Similarity. SSCI Antonio Carta, Davide Bacciu
2018	J	`jnl`	Linear Memory Networks. CoRR Davide Bacciu, Antonio Carta, Alessandro Sperduti
2017	J	`jnl`	An experience in using machine learning for short-term predictions in smart transportation systems. J. Log. Algebraic Methods Program. Davide Bacciu, Antonio Carta, Stefania Gnesi, Laura Semini
2017	—	`conf`	FA3L at SemEval-2017 Task 3: A ThRee Embeddings Recurrent Neural Network for Question Answering. SemEval@ACL Giuseppe Attardi, Antonio Carta, Federico Errica, Andrea Madotto, Ludovica Pannitto
2016	J	`jnl`	Adopting a Machine Learning Approach in the Design of Smart Transportation Systems. ERCIM News Davide Bacciu, Antonio Carta, Stefania Gnesi, Laura Semini