Marco Ciccone - RankMe

70 papers A* 9A 4B 1C 1Journal 42Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment. CoRR Riccardo Zaccone, Stefanos Laskaridis, Marco Ciccone, Samuel Horváth
2026	J	`jnl`	LoopFormer: Elastic-Depth Looped Transformers for Latent Reasoning via Shortcut Modulation. CoRR Ahmadreza Jeddi, Marco Ciccone, Babak Taati
2026	J	`jnl`	Schedule-Robust Continual Learning. IEEE Trans. Pattern Anal. Mach. Intell. Ruohan Wang, Marco Ciccone, Massimiliano Pontil, Carlo Ciliberto
2026	J	`jnl`	The Appeal and Reality of Recycling LoRAs with Adaptive Merging. CoRR Haokun Liu, Gyung Hyun Je, Marco Ciccone, Zhenlin Xu, Prasanth YSS, Colin Raffel
2025	A*	`conf`	Beyond Local Sharpness: Communication-Efficient Global Sharpness-aware Minimization for Federated Learning. CVPR Debora Caldarola, Pietro Cagnasso, Barbara Caputo, Marco Ciccone
2025	J	`jnl`	Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum. Trans. Mach. Learn. Res. Riccardo Zaccone, Sai Praneeth Karimireddy, Carlo Masone, Marco Ciccone
2025	J	`jnl`	Domain Generalization using Action Sequences for Egocentric Action Recognition. CoRR Amirshayan Nasirimajd, Chiara Plizzari, Simone Alberto Peirone, Marco Ciccone, Giuseppe Averta, Barbara Caputo
2025	J	`jnl`	Domain generalization using action sequences for egocentric action recognition. Pattern Recognit. Lett. Amirshayan Nasirimajd, Chiara Plizzari, Simone Alberto Peirone, Marco Ciccone, Giuseppe Averta, Barbara Caputo
2025	A*	`conf`	Efficient Model Editing with Task-Localized Sparse Fine-tuning. ICLR Leonardo Iurada, Marco Ciccone, Tatiana Tommasi
2025	J	`jnl`	Efficient Model Editing with Task-Localized Sparse Fine-tuning. CoRR Leonardo Iurada, Marco Ciccone, Tatiana Tommasi
2025	J	`jnl`	Gradient-Sign Masking for Task Vector Transport Across Pre-Trained Models. CoRR Filippo Rinaldi, Aniello Panariello, Giacomo Salici, Fengyuan Liu, Marco Ciccone, Angelo Porrello, Simone Calderara
2025	J	`jnl`	Improving Deep Neural Network Reliability via Transient-Fault-Aware Design and Training. IEEE Trans. Emerg. Top. Comput. Fernando Fernandes dos Santos, Niccolò Cavagnero, Marco Ciccone, Giuseppe Averta, Angeliki Kritikakou, Olivier Sentieys, Paolo Rech, Tatiana Tommasi
2025	A*	`conf`	Interaction-Aware Gaussian Weighting for Clustered Federated Learning. ICML Alessandro Licciardi, Davide Leo, Eros Fanì, Barbara Caputo, Marco Ciccone
2025	J	`jnl`	Interaction-Aware Gaussian Weighting for Clustered Federated Learning. CoRR Alessandro Licciardi, Davide Leo, Eros Fanì, Barbara Caputo, Marco Ciccone
2025	J	`jnl`	Resource-Efficient Personalization in Federated Learning With Closed-Form Classifiers. IEEE Access Eros Fanì, Raffaello Camoriano, Barbara Caputo, Marco Ciccone
2025	J	`jnl`	TokSuite: Measuring the Impact of Tokenizer Choice on Language Model Behavior. CoRR Gül Sena Altintas, Malikeh Ehghaghi, Brian Lester, Fengyuan Liu, Wanru Zhao, Marco Ciccone, Colin Raffel
2024	J	`jnl`	Accelerating Federated Learning via Sequential Training of Grouped Heterogeneous Clients. IEEE Access Andrea Silvi, Andrea Rizzardi, Debora Caldarola, Barbara Caputo, Marco Ciccone
2024	A*	`conf`	Accelerating Heterogeneous Federated Learning with Closed-form Classifiers. ICML Eros Fanì, Raffaello Camoriano, Barbara Caputo, Marco Ciccone
2024	J	`jnl`	Accelerating Heterogeneous Federated Learning with Closed-form Classifiers. CoRR Eros Fanì, Raffaello Camoriano, Barbara Caputo, Marco Ciccone
2024	J	`jnl`	Beyond Local Sharpness: Communication-Efficient Global Sharpness-aware Minimization for Federated Learning. CoRR Debora Caldarola, Pietro Cagnasso, Barbara Caputo, Marco Ciccone
2024	A*	`conf`	Finding Lottery Tickets in Vision Models via Data-Driven Spectral Foresight Pruning. CVPR Leonardo Iurada, Marco Ciccone, Tatiana Tommasi
2024	J	`jnl`	Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning. CoRR Leonardo Iurada, Marco Ciccone, Tatiana Tommasi
2024	A*	`conf`	PEM: Prototype-Based Efficient MaskFormer for Image Segmentation. CVPR Niccolò Cavagnero, Gabriele Rosi, Claudia Cuttano, Francesca Pistilli, Marco Ciccone, Giuseppe Averta, Fabio Cermelli
2024	J	`jnl`	PEM: Prototype-based Efficient MaskFormer for Image Segmentation. CoRR Niccolò Cavagnero, Gabriele Rosi, Claudia Cuttano, Francesca Pistilli, Marco Ciccone, Giuseppe Averta, Fabio Cermelli
2023	J	`jnl`	Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum. CoRR Riccardo Zaccone, Carlo Masone, Marco Ciccone
2023	J	`jnl`	FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving. CoRR Eros Fanì, Marco Ciccone, Barbara Caputo
2023	J	`jnl`	From Charts to Atlas: Merging Latent Spaces into One. CoRR Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà
2023	—	`conf`	From charts to atlas: Merging latent spaces into one. NeurReps Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà
2023	A	`conf`	Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning. WACV Donald Shenaj, Eros Fanì, Marco Toldo, Debora Caldarola, Antonio Tavera, Umberto Michieli, Marco Ciccone, Pietro Zanuttigh, Barbara Caputo
2023	—	`conf`	Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning. ICCV (Workshops) Debora Caldarola, Barbara Caputo, Marco Ciccone
2023	J	`jnl`	Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning. CoRR Debora Caldarola, Barbara Caputo, Marco Ciccone
2022	A*	`conf`	A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving. ICML Luca Carminati, Federico Cacciamani, Marco Ciccone, Nicola Gatti
2022	J	`jnl`	A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving. CoRR Luca Carminati, Federico Cacciamani, Marco Ciccone, Nicola Gatti
2022	J	`jnl`	Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead. CoRR Niccolò Cavagnero, Fernando Fernandes dos Santos, Marco Ciccone, Giuseppe Averta, Tatiana Tommasi, Paolo Rech
2022	A	`conf`	FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving. IROS Lidia Fantauzzo, Eros Fanì, Debora Caldarola, Antonio Tavera, Fabio Cermelli, Marco Ciccone, Barbara Caputo
2022	J	`jnl`	FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving. CoRR Lidia Fantauzzo, Eros Fanì, Debora Caldarola, Antonio Tavera, Fabio Cermelli, Marco Ciccone, Barbara Caputo
2022	—	`conf`	Improving Generalization in Federated Learning by Seeking Flat Minima. ECCV (23) Debora Caldarola, Barbara Caputo, Marco Ciccone
2022	J	`jnl`	Improving Generalization in Federated Learning by Seeking Flat Minima. CoRR Debora Caldarola, Barbara Caputo, Marco Ciccone
2022	A*	`conf`	Incremental Learning in Semantic Segmentation from Image Labels. CVPR Fabio Cermelli, Dario Fontanel, Antonio Tavera, Marco Ciccone, Barbara Caputo
2022	J	`jnl`	Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning. CoRR Donald Shenaj, Eros Fanì, Marco Toldo, Debora Caldarola, Antonio Tavera, Umberto Michieli, Marco Ciccone, Pietro Zanuttigh, Barbara Caputo
2022	—	`ed.`	NeurIPS 2021 Competitions and Demonstrations Track, 6-14 December 2021, Online. NeurIPS (Competition and Demos) Douwe Kiela, Marco Ciccone, Barbara Caputo
2022	—	`ed.`	NeurIPS 2022 Competition Track, November 28 - December 9, 2022, Online NeurIPS (Competition and Demos) Marco Ciccone, Gustavo Stolovitzky, Jacob Albrecht
2022	J	`jnl`	Public Information Representation for Adversarial Team Games. CoRR Luca Carminati, Federico Cacciamani, Marco Ciccone, Nicola Gatti
2022	J	`jnl`	Schedule-Robust Online Continual Learning. CoRR Ruohan Wang, Marco Ciccone, Giulia Luise, Andrew Yapp, Massimiliano Pontil, Carlo Ciliberto
2022	B	`conf`	Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients. ICPR Riccardo Zaccone, Andrea Rizzardi, Debora Caldarola, Marco Ciccone, Barbara Caputo
2022	J	`jnl`	Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients. CoRR Riccardo Zaccone, Andrea Rizzardi, Debora Caldarola, Marco Ciccone, Barbara Caputo
2022	C	`conf`	Transient-Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead. IOLTS Niccolò Cavagnero, Fernando Fernandes dos Santos, Marco Ciccone, Giuseppe Averta, Tatiana Tommasi, Paolo Rech
2021	—	`conf`	Cluster-Driven Graph Federated Learning Over Multiple Domains. CVPR Workshops Debora Caldarola, Massimiliano Mancini, Fabio Galasso, Marco Ciccone, Emanuele Rodolà, Barbara Caputo
2021	J	`jnl`	Cluster-driven Graph Federated Learning over Multiple Domains. CoRR Debora Caldarola, Massimiliano Mancini, Fabio Galasso, Marco Ciccone, Emanuele Rodolà, Barbara Caputo
2021	J	`jnl`	DA4Event: Towards Bridging the Sim-to-Real Gap for Event Cameras Using Domain Adaptation. IEEE Robotics Autom. Lett. Mirco Planamente, Chiara Plizzari, Marco Cannici, Marco Ciccone, Francesco Strada, Andrea Bottino, Matteo Matteucci, Barbara Caputo
2021	J	`jnl`	DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptation. CoRR Mirco Planamente, Chiara Plizzari, Marco Cannici, Marco Ciccone, Francesco Strada, Andrea Bottino, Matteo Matteucci, Barbara Caputo
2021	J	`jnl`	Incremental Learning in Semantic Segmentation from Image Labels. CoRR Fabio Cermelli, Dario Fontanel, Antonio Tavera, Marco Ciccone, Barbara Caputo
2021	A	`conf`	Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies. AAMAS Federico Cacciamani, Andrea Celli, Marco Ciccone, Nicola Gatti
2021	J	`jnl`	Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies. CoRR Federico Cacciamani, Andrea Celli, Marco Ciccone, Nicola Gatti
2021	—	`conf`	N-ROD: A Neuromorphic Dataset for Synthetic-to-Real Domain Adaptation. CVPR Workshops Marco Cannici, Chiara Plizzari, Mirco Planamente, Marco Ciccone, Andrea Bottino, Barbara Caputo, Matteo Matteucci
2021	—	`conf`	NeurIPS 2022 Competition Track Revised Selected Papers. NeurIPS (Competition and Demos) Marco Ciccone, Gustavo Stolovitzky, Jacob Albrecht
2021	—	`—`	On iterative and conditional computation for visual representation learning. Marco Ciccone
2020	—	`conf`	A Differentiable Recurrent Surface for Asynchronous Event-Based Data. ECCV (20) Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci
2020	J	`jnl`	Matrix-LSTM: a Differentiable Recurrent Surface for Asynchronous Event-Based Data. CoRR Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci
2019	—	`conf`	Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras. CVPR Workshops Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci
2019	A	`conf`	Attention Mechanisms for Object Recognition With Event-Based Cameras. WACV Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci
2019	J	`jnl`	Coordination in Adversarial Sequential Team Games via Multi-Agent Deep Reinforcement Learning. CoRR Andrea Celli, Marco Ciccone, Raffaele Bongo, Nicola Gatti
2018	J	`jnl`	Attention Mechanisms for Object Recognition with Event-Based Cameras. CoRR Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci
2018	J	`jnl`	Event-based Convolutional Networks for Object Detection in Neuromorphic Cameras. CoRR Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci
2018	A*	`conf`	NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations. NeurIPS Marco Ciccone, Marco Gallieri, Jonathan Masci, Christian Osendorfer, Faustino J. Gomez
2018	J	`jnl`	NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations. CoRR Marco Ciccone, Marco Gallieri, Jonathan Masci, Christian Osendorfer, Faustino J. Gomez
2018	J	`jnl`	ReConvNet: Video Object Segmentation with Spatio-Temporal Features Modulation. CoRR Francesco Lattari, Marco Ciccone, Matteo Matteucci, Jonathan Masci, Francesco Visin
2017	J	`jnl`	Multi-View Stereo with Single-View Semantic Mesh Refinement. CoRR Andrea Romanoni, Marco Ciccone, Francesco Visin, Matteo Matteucci
2017	—	`conf`	Multi-view Stereo with Single-View Semantic Mesh Refinement. ICCV Workshops Andrea Romanoni, Marco Ciccone, Francesco Visin, Matteo Matteucci
2016	—	`conf`	ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation. CVPR Workshops Francesco Visin, Adriana Romero, Kyunghyun Cho, Matteo Matteucci, Marco Ciccone, Kyle Kastner, Yoshua Bengio, Aaron C. Courville