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CAMORIANO, RAFFAELLO
Dipartimento di Automatica e Informatica
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Accelerating Heterogeneous Federated Learning with Closed-form Classifiers
In corso di stampa Fanì, Eros; Camoriano, Raffaello; Caputo, Barbara; Ciccone, Marco
Fed3R: Recursive Ridge Regression for Federated Learning with strong pre-trained models
2023 Fani', Eros; Camoriano, Raffaello; Caputo, Barbara; Ciccone, Marco
PaintNet: Unstructured Multi-Path Learning from 3D Point Clouds for Robotic Spray Painting
2023 Tiboni, Gabriele; Camoriano, Raffaello; Tommasi, Tatiana
Point Cloud-Based Reinforcement Learning for Autonomous Navigation of a Robotic Rover on Planetary Surfaces
2023 Mustich, F.; Festa, L. M.; Stesina, F.; Tiboni, G.; Camoriano, R.
TempoRL: laser pulse temporal shape optimization with Deep Reinforcement Learning
2023 Capuano, Francesco; Peceli, Davorin; Tiboni, Gabriele; Camoriano, Raffaello; Rus, Bedřich
From Handheld to Unconstrained Object Detection: a Weakly-supervised On-line Learning Approach
2022 Maiettini, E; Maracani, A; Camoriano, R; Pasquale, G; Tikhanoff, V; Rosasco, L; Natale, L
Learning to Sequence Multiple Tasks with Competing Constraints
2019 Duan, A; Camoriano, R; Ferigo, D; Huang, Y; Calandriello, D; Rosasco, L; Pucci, D
Constrained DMPs for Feasible Skill Learning on Humanoid Robots
2018 Duan, A; Camoriano, R; Ferigo, D; Calandriello, D; Rosasco, L; Pucci, D
Dirichlet-based gaussian processes for large-scale calibrated classification
2018 Milios, D; Camoriano, R; Michiardi, P; Rosasco, L; Filippone, M
Incremental robot learning of new objects with fixed update time
2017 Camoriano, R; Pasquale, G; Ciliberto, C; Natale, L; Rosasco, L; Metta, G
Generalization properties and implicit regularization for multiple passes SGM
2016 Lin, J; Camoriano, R; Rosasco, L
Incremental semiparametric inverse dynamics learning
2016 Camoriano, R; Traversaro, S; Rosasco, L; Metta, G; Nori, F
NYTRO: When Subsampling Meets Early Stopping
2016 Camoriano, R; Angles, T; Rudi, A; Rosasco, L
Online semi-parametric learning for inverse dynamics modeling
2016 Romeres, D; Zorzi, M; Camoriano, R; Chiuso, A
Less is more: Nyström computational regularization
2015 Rudi, A; Camoriano, R; Rosasco, L
Development and analysis of a new specialized gripper mechanism for garment handling
2013 L, Le; Zoppi, M; Jilich, M; Camoriano, R; Zlatanov, D; Molfino, R
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Accelerating Heterogeneous Federated Learning with Closed-form Classifiers / Fanì, Eros; Camoriano, Raffaello; Caputo, Barbara; Ciccone, Marco. - ELETTRONICO. - 1:(In corso di stampa), pp. 1-20. (Intervento presentato al convegno Forty-first International Conference on Machine Learning). | In corso di stampa | Fanì,ErosCamoriano,RaffaelloCaputo,BarbaraCiccone,Marco | - |
| Fed3R: Recursive Ridge Regression for Federated Learning with strong pre-trained models / Fani', Eros; Camoriano, Raffaello; Caputo, Barbara; Ciccone, Marco. - ELETTRONICO. - 1:(2023), pp. 1-19. (Intervento presentato al convegno Workshop on Federated Learning in the Age of Foundation Models in Conjunction with NeurIPS 2023 tenutosi a New Orleans, LA (USA) nel Dec 16 2023). | 1-gen-2023 | Fani', ErosCamoriano, RaffaelloCaputo, BarbaraCiccone, Marco | 55_fed3r_recursive_ridge_regressi.pdf |
| PaintNet: Unstructured Multi-Path Learning from 3D Point Clouds for Robotic Spray Painting / Tiboni, Gabriele; Camoriano, Raffaello; Tommasi, Tatiana. - (2023), pp. 3857-3864. (Intervento presentato al convegno International conference on intelligent robots and systems (IROS) tenutosi a Detroit (USA) nel 01-05 October 2023) [10.1109/IROS55552.2023.10341480]. | 1-gen-2023 | Gabriele TiboniRaffaello CamorianoTatiana Tommasi | PaintNet_IROS_2023_camera_ready.pdf; PaintNet_Unstructured_Multi-Path_Learning_from_3D_Point_Clouds_for_Robotic_Spray_Painting.pdf |
| Point Cloud-Based Reinforcement Learning for Autonomous Navigation of a Robotic Rover on Planetary Surfaces / Mustich, F.; Festa, L. M.; Stesina, F.; Tiboni, G.; Camoriano, R.. - 2023-October:(2023). (Intervento presentato al convegno 74th International Astronautical Congress (IAC) tenutosi a Baku (AZE) nel 2-6 October 2023). | 1-gen-2023 | Mustich F.Festa L. M.Stesina F.Tiboni G.Camoriano R. | IAC_2023_Point_Cloud_Based_Reinforcement_Learning_for_Autonomous (2).pdf |
| TempoRL: laser pulse temporal shape optimization with Deep Reinforcement Learning / Capuano, Francesco; Peceli, Davorin; Tiboni, Gabriele; Camoriano, Raffaello; Rus, Bedřich. - 12577:(2023). (Intervento presentato al convegno SPIE OPTICS + OPTOELECTRONICS tenutosi a Prague (Czech Republic) nel 24-28 April 2023) [10.1117/12.2669267]. | 1-gen-2023 | Francesco CapuanoGabriele TiboniRaffaello Camoriano + | temporl.pdf; 125770C.pdf |
| From Handheld to Unconstrained Object Detection: a Weakly-supervised On-line Learning Approach / Maiettini, E; Maracani, A; Camoriano, R; Pasquale, G; Tikhanoff, V; Rosasco, L; Natale, L. - STAMPA. - (2022), pp. 942-949. (Intervento presentato al convegno 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) tenutosi a Napoli (ITA) nel August 29 - September 2, 2022) [10.1109/RO-MAN53752.2022.9900780]. | 1-gen-2022 | Camoriano R + | From_Handheld_to_Unconstrained_Object_Detection_a_Weakly-supervised_On-line_Learning_Approach.pdf |
| Learning to Sequence Multiple Tasks with Competing Constraints / Duan, A; Camoriano, R; Ferigo, D; Huang, Y; Calandriello, D; Rosasco, L; Pucci, D. - ELETTRONICO. - (2019), pp. 2672-2678. (Intervento presentato al convegno 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019 tenutosi a Macau, China nel 03-08 November 2019) [10.1109/IROS40897.2019.8968496]. | 1-gen-2019 | Camoriano R + | Learning_to_Sequence_Multiple_Tasks_with_Competing_Constraints.pdf |
| Constrained DMPs for Feasible Skill Learning on Humanoid Robots / Duan, A; Camoriano, R; Ferigo, D; Calandriello, D; Rosasco, L; Pucci, D. - ELETTRONICO. - (2018), pp. 1032-1038. (Intervento presentato al convegno 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids) tenutosi a Beijing, China nel 06-09 November 2018) [10.1109/HUMANOIDS.2018.8624934]. | 1-gen-2018 | Camoriano R + | Constrained_DMPs_for_Feasible_Skill_Learning_on_Humanoid_Robots.pdf |
| Dirichlet-based gaussian processes for large-scale calibrated classification / Milios, D; Camoriano, R; Michiardi, P; Rosasco, L; Filippone, M. - ELETTRONICO. - 31:(2018), pp. 6005-6015. (Intervento presentato al convegno Neural Information Processing Systems 2018 tenutosi a Montréal, Canada nel 3 - 8 December, 2018). | 1-gen-2018 | Camoriano R + | NeurIPS-2018-dirichlet-based-gaussian-processes-for-large-scale-calibrated-classification-Paper.pdf |
| Incremental robot learning of new objects with fixed update time / Camoriano, R; Pasquale, G; Ciliberto, C; Natale, L; Rosasco, L; Metta, G. - ELETTRONICO. - (2017), pp. 3207-3214. (Intervento presentato al convegno IEEE International Conference on Robotics and Automation (ICRA 2017) tenutosi a Singapore nel 29 May 2017 - 03 June 2017) [10.1109/ICRA.2017.7989364]. | 1-gen-2017 | Camoriano R + | Incremental_robot_learning_of_new_objects_with_fixed_update_time.pdf |
| Generalization properties and implicit regularization for multiple passes SGM / Lin, J; Camoriano, R; Rosasco, L. - ELETTRONICO. - 48:(2016), pp. 2340-2348. (Intervento presentato al convegno 33rd International Conference on Machine Learning tenutosi a New York, USA nel June 19 - 24, 2016). | 1-gen-2016 | Camoriano R + | lina16.pdf |
| Incremental semiparametric inverse dynamics learning / Camoriano, R; Traversaro, S; Rosasco, L; Metta, G; Nori, F. - ELETTRONICO. - (2016), pp. 544-550. (Intervento presentato al convegno 2016 IEEE International Conference on Robotics and Automation (ICRA) tenutosi a Stockholm, Sweden nel May 16-21, 2016) [10.1109/ICRA.2016.7487177]. | 1-gen-2016 | Camoriano R + | Incremental_semiparametric_inverse_dynamics_learning (1).pdf |
| NYTRO: When Subsampling Meets Early Stopping / Camoriano, R; Angles, T; Rudi, A; Rosasco, L. - ELETTRONICO. - 51:(2016), pp. 1403-1411. (Intervento presentato al convegno 19th International Conference on Artificial Intelligence and Statistics (AISTATS 2016) tenutosi a Cadiz, Spain nel 9 maggio 2016). | 1-gen-2016 | Camoriano R + | camoriano16.pdf |
| Online semi-parametric learning for inverse dynamics modeling / Romeres, D; Zorzi, M; Camoriano, R; Chiuso, A. - ELETTRONICO. - (2016), pp. 2945-2950. (Intervento presentato al convegno 2016 IEEE 55th Conference on Decision and Control (CDC) tenutosi a Las Vegas (USA) nel 12-14 December 2016) [10.1109/CDC.2016.7798708]. | 1-gen-2016 | Camoriano R + | Online_semi-parametric_learning_for_inverse_dynamics_modeling.pdf |
| Less is more: Nyström computational regularization / Rudi, A; Camoriano, R; Rosasco, L. - ELETTRONICO. - (2015), pp. 1657-1665. (Intervento presentato al convegno Advances in Neural Information Processing Systems (NIPS 2015) tenutosi a Montreal, Canada nel December 7-12, 2015). | 1-gen-2015 | Camoriano R + | NIPS-2015-less-is-more-nystrom-computational-regularization-Paper.pdf |
| Development and analysis of a new specialized gripper mechanism for garment handling / L, Le; Zoppi, M; Jilich, M; Camoriano, R; Zlatanov, D; Molfino, R. - ELETTRONICO. - 6B:(2013). (Intervento presentato al convegno ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference tenutosi a Portland, OR (USA) nel Aug. 4-7, 2013) [10.1115/DETC2013-13150]. | 1-gen-2013 | Camoriano R + | v06bt07a013-detc2013-13150.pdf |