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Vincenzo Lomonaco

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


Jul 14, 2021
Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassara, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela Degennaro, 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 Tagliabò, Jakob Valtl, Iraklis Varlamis, Omar Veledar

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Continual Learning at the Edge: Real-Time Training on Smartphone Devices


May 24, 2021
Lorenzo Pellegrini, Vincenzo Lomonaco, Gabriele Graffieti, Davide Maltoni

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* 6 pages, 2 figures, 1 table 
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Continual Learning with Echo State Networks


May 17, 2021
Andrea Cossu, Davide Bacciu, Antonio Carta, Claudio Gallicchio, Vincenzo Lomonaco

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* In review at ESANN 2021 
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Avalanche: an End-to-End Library for Continual Learning


Apr 01, 2021
Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido van de Ven, Martin Mundt, Qi She, Keiland Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German I. Parisi, Fabio Cuzzolin, Andreas Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni

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* Official Website: https://avalanche.continualai.org 
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Distilled Replay: Overcoming Forgetting through Synthetic Samples


Mar 29, 2021
Andrea Rosasco, Antonio Carta, Andrea Cossu, Vincenzo Lomonaco, Davide Bacciu

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Continual Learning for Recurrent Neural Networks: an Empirical Evaluation


Mar 24, 2021
Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu

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* In submission 
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Continual Learning for Recurrent Neural Networks: a Review and Empirical Evaluation


Mar 12, 2021
Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu

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* In submission 
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CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions


Sep 14, 2020
Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodriguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vazquez, German I. Parisi, Nikhil Churamani, Marc Pickett, Issam Laradji, Davide Maltoni

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* Pre-print v1: 12 pages, 3 figures, 8 tables 
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IROS 2019 Lifelong Robotic Vision Challenge -- Lifelong Object Recognition Report


Apr 26, 2020
Qi She, Fan Feng, Qi Liu, Rosa H. M. Chan, Xinyue Hao, Chuanlin Lan, Qihan Yang, Vincenzo Lomonaco, German I. Parisi, Heechul Bae, Eoin Brophy, Baoquan Chen, Gabriele Graffieti, Vidit Goel, Hyonyoung Han, Sathursan Kanagarajah, Somesh Kumar, Siew-Kei Lam, Tin Lun Lam, Liang Ma, Davide Maltoni, Lorenzo Pellegrini, Duvindu Piyasena, Shiliang Pu, Debdoot Sheet, Soonyong Song, Youngsung Son, Zhengwei Wang, Tomas E. Ward, Jianwen Wu, Meiqing Wu, Di Xie, Yangsheng Xu, Lin Yang, Qiaoyong Zhong, Liguang Zhou

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* 9 pages, 11 figures, 3 tables, accepted into IEEE Robotics and Automation Magazine. arXiv admin note: text overlap with arXiv:1911.06487 
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Online Continual Learning on Sequences


Mar 20, 2020
German I. Parisi, Vincenzo Lomonaco

* L. Oneto et al. (eds.), Recent Trends in Learning From Data, Studies in Computational Intelligence 896 
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Latent Replay for Real-Time Continual Learning


Dec 02, 2019
Lorenzo Pellegrini, Gabrile Graffieti, Vincenzo Lomonaco, Davide Maltoni

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* Pre-print v1: 12 pages, 8 figures, 9 tables, 1 algorithm 
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OpenLORIS-Object: A Dataset and Benchmark towards Lifelong Object Recognition


Nov 15, 2019
Qi She, Fan Feng, Xinyue Hao, Qihan Yang, Chuanlin Lan, Vincenzo Lomonaco, Xuesong Shi, Zhengwei Wang, Yao Guo, Yimin Zhang, Fei Qiao, Rosa H. M. Chan

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* 8 pages, 5 figures, 4 tables 
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Efficient Continual Learning in Neural Networks with Embedding Regularization


Sep 09, 2019
Jary Pomponi, Simone Scardapane, Vincenzo Lomonaco, Aurelio Uncini

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Fine-Grained Continual Learning


Jul 08, 2019
Vincenzo Lomonaco, Davide Maltoni, Lorenzo Pellegrini

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* Pre-print version v1: 14 pages, 6 figures, 4 tables 
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Continual Learning for Robotics


Jun 29, 2019
Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni, David Filliat, Natalia Díaz-Rodríguez

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Continual Reinforcement Learning in 3D Non-stationary Environments


May 24, 2019
Vincenzo Lomonaco, Karan Desai, Eugenio Culurciello, Davide Maltoni

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* Under review at NeurIPS2019: 12 pages, 4 figures, 4 tables 
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Intelligent Drone Swarm for Search and Rescue Operations at Sea


Nov 13, 2018
Vincenzo Lomonaco, Angelo Trotta, Marta Ziosi, Juan de Dios Yáñez Ávila, Natalia Díaz-Rodríguez

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* 4 Pages, 1 Figure, extended abstract accepted to the "AI for Social Good" NIPS 2018 Workshop 
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Don't forget, there is more than forgetting: new metrics for Continual Learning


Oct 31, 2018
Natalia Díaz-Rodríguez, Vincenzo Lomonaco, David Filliat, Davide Maltoni

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Custom Dual Transportation Mode Detection by Smartphone Devices Exploiting Sensor Diversity


Oct 12, 2018
Claudia Carpineti, Vincenzo Lomonaco, Luca Bedogni, Marco Di Felice, Luciano Bononi

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* Pre-print of the accepted version for the 14th Workshop on Context and Activity Modeling and Recognition (IEEE COMOREA 2018), Athens, Greece, March 19-23, 2018 
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Continuous Learning in Single-Incremental-Task Scenarios


Aug 28, 2018
Davide Maltoni, Vincenzo Lomonaco

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* 26 pages, 14 figures; v2: several typos and minor mistakes corrected 
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CORe50: a New Dataset and Benchmark for Continuous Object Recognition


May 09, 2017
Vincenzo Lomonaco, Davide Maltoni

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Semi-supervised Tuning from Temporal Coherence


Jan 04, 2016
Davide Maltoni, Vincenzo Lomonaco

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* Under review as a conference paper at ICLR 2016 
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