Ciccone, Marco

24 publications

ICLR 2026 Gradient-Sign Masking for Task Vector Transport Across Pre-Trained Models Filippo Rinaldi, Aniello Panariello, Giacomo Salici, Fengyuan Liu, Marco Ciccone, Angelo Porrello, Simone Calderara

ICLR 2026 LoopFormer: Elastic-Depth Looped Transformers for Latent Reasoning via Shortcut Modulation Ahmadreza Jeddi, Marco Ciccone, Babak Taati

CVPR 2025 Beyond Local Sharpness: Communication-Efficient Global Sharpness-Aware Minimization for Federated Learning Debora Caldarola, Pietro Cagnasso, Barbara Caputo, Marco Ciccone

TMLR 2025 Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum Riccardo Zaccone, Sai Praneeth Karimireddy, Carlo Masone, Marco Ciccone

ICLR 2025 Efficient Model Editing with Task-Localized Sparse Fine-Tuning Leonardo Iurada, Marco Ciccone, Tatiana Tommasi

ICML 2025 Interaction-Aware Gaussian Weighting for Clustered Federated Learning Alessandro Licciardi, Davide Leo, Eros Fanı̀, Barbara Caputo, Marco Ciccone

ICML 2024 Accelerating Heterogeneous Federated Learning with Closed-Form Classifiers Eros Fanı̀, Raffaello Camoriano, Barbara Caputo, Marco Ciccone

CVPR 2024 Finding Lottery Tickets in Vision Models via Data-Driven Spectral Foresight Pruning Leonardo Iurada, Marco Ciccone, Tatiana Tommasi

CVPR 2024 PEM: Prototype-Based Efficient MaskFormer for Image Segmentation Niccolò Cavagnero, Gabriele Rosi, Claudia Cuttano, Francesca Pistilli, Marco Ciccone, Giuseppe Averta, Fabio Cermelli

NeurIPSW 2023 Fed3R: Recursive Ridge Regression for Federated Learning with Strong Pre-Trained Models Eros Fanì, Raffaello Camoriano, Barbara Caputo, Marco Ciccone

NeurIPSW 2023 From Charts to Atlas: Merging Latent Spaces into One Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Lio, Emanuele Rodolà

WACV 2023 Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning Donald Shenaj, Eros Fanì, Marco Toldo, Debora Caldarola, Antonio Tavera, Umberto Michieli, Marco Ciccone, Pietro Zanuttigh, Barbara Caputo

ICCVW 2023 Window-Based Model Averaging Improves Generalization in Heterogeneous Federated Learning Debora Caldarola, Barbara Caputo, Marco Ciccone

ICML 2022 A Marriage Between Adversarial Team Games and 2-Player Games: Enabling Abstractions, No-Regret Learning, and Subgame Solving Luca Carminati, Federico Cacciamani, Marco Ciccone, Nicola Gatti

ECCV 2022 Improving Generalization in Federated Learning by Seeking Flat Minima Debora Caldarola, Barbara Caputo, Marco Ciccone

CVPR 2022 Incremental Learning in Semantic Segmentation from Image Labels Fabio Cermelli, Dario Fontanel, Antonio Tavera, Marco Ciccone, Barbara Caputo

CVPRW 2021 Cluster-Driven Graph Federated Learning over Multiple Domains Debora Caldarola, Massimiliano Mancini, Fabio Galasso, Marco Ciccone, Emanuele Rodolà, Barbara Caputo

CVPRW 2021 N-ROD: A Neuromorphic Dataset for Synthetic-to-Real Domain Adaptation Marco Cannici, Chiara Plizzari, Mirco Planamente, Marco Ciccone, Andrea Bottino, Barbara Caputo, Matteo Matteucci

ECCV 2020 A Differentiable Recurrent Surface for Asynchronous Event-Based Data Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci

CVPRW 2019 Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci

WACV 2019 Attention Mechanisms for Object Recognition with Event-Based Cameras Marco Cannici, Marco Ciccone, Andrea Romanoni, Matteo Matteucci

NeurIPS 2018 NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations Marco Ciccone, Marco Gallieri, Jonathan Masci, Christian Osendorfer, Faustino Gomez

ICCVW 2017 Multi-View Stereo with Single-View Semantic Mesh Refinement Andrea Romanoni, Marco Ciccone, Francesco Visin, Matteo Matteucci

CVPRW 2016 ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation Francesco Visin, Adriana Romero, Kyunghyun Cho, Matteo Matteucci, Marco Ciccone, Kyle Kastner, Yoshua Bengio, Aaron C. Courville