Less is More: Nyström Computational Regularization. - Alessandro Rudi; Raffaello Camoriano; Lorenzo Rosasco (NIPS, 2015)

NYTRO: When Subsampling Meets Early Stopping. - Raffaello Camoriano; Tomás Angles; Alessandro Rudi; Lorenzo Rosasco (AISTATS, 2016)

Online semi-parametric learning for inverse dynamics modeling. - Diego Romeres; Mattia Zorzi; Raffaello Camoriano; Alessandro Chiuso (CDC, 2016)

Generalization Properties and Implicit Regularization for Multiple Passes SGM. - Junhong Lin; Raffaello Camoriano; Lorenzo Rosasco (ICML, 2016)

Incremental semiparametric inverse dynamics learning. - Raffaello Camoriano; Silvio Traversaro; Lorenzo Rosasco; Giorgio Metta; Francesco Nori (ICRA, 2016)

Incremental Object Recognition in Robotics with Extension to New Classes in Constant Time. - Raffaello Camoriano; Giulia Pasquale; Carlo Ciliberto; Lorenzo Natale; Lorenzo Rosasco; Giorgio Metta (CoRR, 2016)

Generalization Properties of Learning with Random Features. - Alessandro Rudi; Raffaello Camoriano; Lorenzo Rosasco (CoRR, 2016)

Incremental robot learning of new objects with fixed update time. - Raffaello Camoriano; Giulia Pasquale; Carlo Ciliberto; Lorenzo Natale; Lorenzo Rosasco; Giorgio Metta (ICRA, 2017)

Constrained DMPs for Feasible Skill Learning on Humanoid Robots. - Anqing Duan; Raffaello Camoriano; Diego Ferigo; Daniele Calandriello; Lorenzo Rosasco; Daniele Pucci (Humanoids, 2018)

Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification. - Dimitrios Milios; Raffaello Camoriano; Pietro Michiardi; Lorenzo Rosasco; Maurizio Filippone (NeurIPS, 2018)

Learning to Sequence Multiple Tasks with Competing Constraints. - Anqing Duan; Raffaello Camoriano; Diego Ferigo; Yanlong Huang; Daniele Calandriello; Lorenzo Rosasco; Daniele Pucci (IROS, 2019)

Large-scale Kernel Methods and Applications to Lifelong Robot Learning. - Raffaello Camoriano (CoRR, 2019)

Data-efficient Weakly-supervised Learning for On-line Object Detection under Domain Shift in Robotics. - Elisa Maiettini; Raffaello Camoriano; Giulia Pasquale; Vadim Tikhanoff; Lorenzo Rosasco; Lorenzo Natale (CoRR, 2020)

Learning to Avoid Obstacles With Minimal Intervention Control. - Anqing Duan; Raffaello Camoriano; Diego Ferigo; Yanlong Huang; Daniele Calandriello; Lorenzo Rosasco; Daniele Pucci (Frontiers Robotics AI, 2020)

Derivative-Free Online Learning of Inverse Dynamics Models. - Diego Romeres; Mattia Zorzi; Raffaello Camoriano; Silvio Traversaro; Alessandro Chiuso (IEEE Trans. Control. Syst. Technol., 2020)

On the Emergence of Whole-Body Strategies From Humanoid Robot Push-Recovery Learning. - Diego Ferigo; Raffaello Camoriano; Paolo Maria Viceconte; Daniele Calandriello; Silvio Traversaro; Lorenzo Rosasco; Daniele Pucci (IEEE Robotics Autom. Lett., 2021)

Structured Prediction for CRiSP Inverse Kinematics Learning With Misspecified Robot Models. - Gian Maria Marconi; Raffaello Camoriano; Lorenzo Rosasco; Carlo Ciliberto (IEEE Robotics Autom. Lett., 2021)

From Handheld to Unconstrained Object Detection: a Weakly-supervised On-line Learning Approach. - Elisa Maiettini; Andrea Maracani; Raffaello Camoriano; Giulia Pasquale; Vadim Tikhanoff; Lorenzo Rosasco; Lorenzo Natale (RO-MAN, 2022)

PaintNet: 3D Learning of Pose Paths Generators for Robotic Spray Painting. - Gabriele Tiboni; Raffaello Camoriano; Tatiana Tommasi (CoRR, 2022)

ADHERENT: Learning Human-like Trajectory Generators for Whole-body Control of Humanoid Robots. - Paolo Maria Viceconte; Raffaello Camoriano; Giulio Romualdi; Diego Ferigo; Stefano Dafarra; Silvio Traversaro; Giuseppe Oriolo; Lorenzo Rosasco; Daniele Pucci (IEEE Robotics Autom. Lett., 2022)

Dataset associated to the "ADHERENT: Learning Human-like Trajectory Generators for Whole-body Control of Humanoid Robots" paper (manuscript DOI: 10.1109/LRA.2022.3141658). - Paolo Maria Viceconte; Raffaello Camoriano; Giulio Romualdi; Diego Ferigo; Stefano Dafarra; Silvio Traversaro; Giuseppe Oriolo; Lorenzo Rosasco; Daniele Pucci (Zenodo, 2022)

PaintNet: Unstructured Multi-Path Learning from 3D Point Clouds for Robotic Spray Painting. - Gabriele Tiboni; Raffaello Camoriano; Tatiana Tommasi (IROS, 2023)

Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation. - Andrea Maracani; Raffaello Camoriano; Elisa Maiettini; Davide Talon; Lorenzo Rosasco; Lorenzo Natale (CoRR, 2023)

TempoRL: laser pulse temporal shape optimization with Deep Reinforcement Learning. - Francesco Capuano; Davorin Peceli; Gabriele Tiboni; Raffaello Camoriano; Bedric Rus (CoRR, 2023)

Accelerating Heterogeneous Federated Learning with Closed-form Classifiers. - Eros Fanì; Raffaello Camoriano; Barbara Caputo; Marco Ciccone (ICML, 2024)

Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis. - Andrea Maracani; Raffaello Camoriano; Elisa Maiettini; Davide Talon; Lorenzo Rosasco; Lorenzo Natale (CoRR, 2024)

A structured prediction approach for robot imitation learning. - Anqing Duan; Iason Batzianoulis; Raffaello Camoriano; Lorenzo Rosasco; Daniele Pucci; Aude Billard (Int. J. Robotics Res., 2024)

Long-Term Upper-Limb Prosthesis Myocontrol via High-Density sEMG and Incremental Learning. - Dario Di Domenico; Nicoló Boccardo; Andrea Marinelli; Michele Canepa; Emanuele Gruppioni; Matteo Laffranchi; Raffaello Camoriano (IEEE Robotics Autom. Lett., 2024)

Resource-Efficient Personalization in Federated Learning With Closed-Form Classifiers. - Eros Fanì; Raffaello Camoriano; Barbara Caputo; Marco Ciccone (IEEE Access, 2025)

Learning Rhythmic Trajectories With Geometric Constraints for Laser-Based Skincare Procedures. - Anqing Duan; Wanli Liuchen; Jinsong Wu; Raffaello Camoriano; Lorenzo Rosasco; David Navarro-Alarcon (IEEE Trans. Robotics, 2025)

Continual Learning Should Move Beyond Incremental Classification. - Rupert Mitchell; Antonio Alliegro; Raffaello Camoriano; Dustin Carrión-Ojeda; Antonio Carta; Georgia Chalvatzaki; Nikhil Churamani; Carlo D'Eramo; Samin Hamidi; Robin Hesse; Fabian Hinder; Roshni Kamath; et al. (CoRR, 2025)

MaskPlanner: Learning-Based Object-Centric Motion Generation from 3D Point Clouds. - Gabriele Tiboni; Raffaello Camoriano; Tatiana Tommasi (CoRR, 2025)