CICCONE, MARCO

CICCONE, MARCO  

Dipartimento di Automatica e Informatica  

070924  

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Citazione Data di pubblicazione Autori File
A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving / Carminati, Luca; Cacciamani, Federico; Ciccone, Marco; Gatti, Nicola. - (2022). (Intervento presentato al convegno 39th International Conference on Machine Learning tenutosi a Baltimore, Maryland (USA) nel 17-23 July 2022). 1-gen-2022 Carminati, LucaCiccone, Marco + carminati22a.pdf
Cluster-driven Graph Federated Learning over Multiple Domains / Caldarola, Debora; Mancini, Massimiliano; Galasso, Fabio; Ciccone, Marco; Rodolà, Emanuele; Caputo, Barbara. - ELETTRONICO. - (2021). (Intervento presentato al convegno Workshop Learning from Limited and Imperfect Data in IEEE Conference on Computer Vision and Pattern Recognition). 1-gen-2021 Debora CaldarolaMarco CicconeBarbara Caputo + Cluster-driven_Graph_Federated_Learning_over_Multiple_Domains_LLID21.pdf
DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptation / Planamente, Mirco; Plizzari, Chiara; Cannici, Marco; Ciccone, Marco; Strada, Francesco; Bottino, Andrea; Matteucci, Matteo; Caputo, Barbara. - In: IEEE ROBOTICS AND AUTOMATION LETTERS. - ISSN 2377-3766. - STAMPA. - 6:4(2021), pp. 6616-6623. [10.1109/LRA.2021.3093870] 1-gen-2021 Planamente,MircoPlizzari,ChiaraCiccone, MarcoStrada, FrancescoBottino, AndreaCaputo, Barbara + IROS21.pdfDA4Event_Towards_Bridging_the_Sim-to-Real_Gap_for_Event_Cameras_Using_Domain_Adaptation.pdf
DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptation / Planamente, Mirco; Plizzari, Chiara; Cannici, Marco; Ciccone, Marco; Strada, Francesco; Bottino, Andrea; Matteucci, Matteo; Caputo, Barbara. - ELETTRONICO. - (2021). (Intervento presentato al convegno 2021 IEEE/RSJ International Conference on Intelligent Robots and System (IROS 2021) tenutosi a Prague, Czech republic nel September 27 - October 1, 2021). 1-gen-2021 Planamente,MircoPlizzari,ChiaraCiccone, MarcoStrada, FrancescoBottino, AndreaCaputo, Barbara + -
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving / Fantauzzo, Lidia; Fani', Eros; Caldarola, Debora; Tavera, Antonio; Cermelli, Fabio; Ciccone, Marco; Caputo, Barbara. - (2022), pp. 11504-11511. (Intervento presentato al convegno 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022) tenutosi a Kyoto (JPN) nel 23-27 October 2022) [10.1109/IROS47612.2022.9981098]. 1-gen-2022 Fantauzzo,LidiaFani',ErosCaldarola,DeboraTavera,AntonioCermelli,FabioCiccone,MarcoCaputo,Barbara FedDrive__Generalizing_Federated_Learning_to_Semantic_Segmentation_in_Autonomous_Driving.pdfFedDrive_Generalizing_Federated_Learning_to_Semantic_Segmentation_in_Autonomous_Driving.pdf
Improving Generalization in Federated Learning by Seeking Flat Minima / Caldarola, Debora; Caputo, Barbara; Ciccone, Marco. - XXIII:(2022), pp. 654-672. (Intervento presentato al convegno Computer Vision–ECCV 2022: 17th European Conference tenutosi a Tel Aviv nel 23-27 Ottobre 2022) [10.1007/978-3-031-20050-2_38]. 1-gen-2022 Caldarola,DeboraCaputo,BarbaraCiccone,Marco 2203.11834.pdf978-3-031-20050-2_38.pdf
Incremental Learning in Semantic Segmentation from Image Labels / Cermelli, Fabio; Fontanel, Dario; Tavera, Antonio; Ciccone, Marco; Caputo, Barbara. - ELETTRONICO. - Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition:(2022), pp. 4361-4371. (Intervento presentato al convegno Conference on Computer Vision and Pattern Recognition 2022 tenutosi a New Orleans, Louisiana (USA) nel 18-24 June 2022) [10.1109/CVPR52688.2022.00433]. 1-gen-2022 Fabio CermelliDario FontanelAntonio TaveraMarco CicconeBarbara Caputo 2112.01882.pdfIncremental_Learning_in_Semantic_Segmentation_from_Image_Labels.pdf
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning / Shenaj, Donald; Fani, Eros; Toldo, Marco; Caldarola, Debora; Tavera, Antonio; Michieli, Umberto; Ciccone, Marco; Zanuttigh, Pietro; Caputo, Barbara. - (2023), pp. 444-454. (Intervento presentato al convegno IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) tenutosi a Waikoloa, Hawaii (USA) nel 02-07 January 2023) [10.1109/WACV56688.2023.00052]. 1-gen-2023 Fani,ErosCaldarola,DeboraTavera,AntonioCiccone,MarcoCaputo,Barbara + Learning_Across_Domains_and_Devices_Style-Driven_Source-Free_Domain_Adaptation_in_Clustered_Federated_Learning.pdf2210.02326_compressed.pdf
N-ROD: a Neuromorphic Dataset for Synthetic-to-Real Domain Adaptation / Cannici, Marco; Plizzari, Chiara; Planamente, Mirco; Ciccone, Marco; Bottino, Andrea; Caputo, Barbara; Matteucci, Matteo. - ELETTRONICO. - (2021), pp. 1342-1347. (Intervento presentato al convegno CVPR 2021 Workshop on Event-based Vision tenutosi a Virtual conference nel 19-25 June 2021) [10.1109/CVPRW53098.2021.00148]. 1-gen-2021 Chiara PlizzariMirco PlanamenteMarco CicconeAndrea BottinoBarbara Caputo + N-ROD_a_Neuromorphic_Dataset_for_Synthetic-to-Real_Domain_Adaptation.pdf
Public Information Representation for Adversarial Team Games / Carminati, Luca; Cacciamani, Federico; Ciccone, Marco; Gatti, Nicola. - (2021). (Intervento presentato al convegno Cooperative AI Workshop - NeurIPS 2021 tenutosi a Virtual nel 14 Dicembre 2021). 1-gen-2021 Luca CarminatiMarco Ciccone + 2201.10377.pdf
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients / Zaccone, Riccardo; Rizzardi, Andrea; Caldarola, Debora; Ciccone, Marco; Caputo, Barbara. - (2022), pp. 3376-3382. (Intervento presentato al convegno 26th International Conference on Pattern Recognition (ICPR) tenutosi a Montréal, Québec (Canada) nel 21-25 August 2022) [10.1109/ICPR56361.2022.9956084]. 1-gen-2022 Riccardo ZacconeDebora CaldarolaMarco CicconeBarbara Caputo + 2201.10899.pdfSpeeding_up_Heterogeneous_Federated_Learning_with_Sequentially_Trained_Superclients.pdf
Transient-fault-aware design and training to enhance DNNs reliability with zero-overhead / Cavagnero, Niccolo'; Dos Santos, Fernando; Ciccone, Marco; Averta, GIUSEPPE BRUNO; Tommasi, Tatiana; Rech, Paolo. - ELETTRONICO. - (2022). (Intervento presentato al convegno IOLTS - The 28th IEEE International Symposium on On-Line Testing and Robust System Design tenutosi a Torino (ITA) nel 12-14 Settembre 2022) [10.1109/IOLTS56730.2022.9897813]. 1-gen-2022 Niccolo' CavagneroMarco CicconeGiuseppe AvertaTatiana Tommasi + iolts_2022.pdfTransient-Fault-Aware_Design_and_Training_to_Enhance_DNNs_Reliability_with_Zero-Overhead.pdf