Reexamining Lucas-Kanade method for real-time independent motion detection: Application to the iCub humanoid robot. - Carlo Ciliberto; Ugo Pattacini; Lorenzo Natale; Francesco Nori; Giorgio Metta (IROS, 2011)

Online multiple instance learning applied to hand detection in a humanoid robot. - Carlo Ciliberto; Fabrizio Smeraldi; Lorenzo Natale; Giorgio Metta (IROS, 2011)

A heteroscedastic approach to independent motion detection for actuated visual sensors. - Carlo Ciliberto; Sean Ryan Fanello; Lorenzo Natale; Giorgio Metta (IROS, 2012)

iCub World: Friendly Robots Help Building Good Vision Data-Sets. - Sean Ryan Fanello; Carlo Ciliberto; Matteo Santoro; Lorenzo Natale; Giorgio Metta; Lorenzo Rosasco; Francesca Odone (CVPR Workshops, 2013)

Weakly supervised strategies for natural object recognition in robotics. - Sean Ryan Fanello; Carlo Ciliberto; Lorenzo Natale; Giorgio Metta (ICRA, 2013)

On the impact of learning hierarchical representations for visual recognition in robotics. - Carlo Ciliberto; Sean Ryan Fanello; Matteo Santoro; Lorenzo Natale; Giorgio Metta; Lorenzo Rosasco (IROS, 2013)

Ask the Image: Supervised Pooling to Preserve Feature Locality. - Sean Ryan Fanello; Nicoletta Noceti; Carlo Ciliberto; Giorgio Metta; Francesca Odone (CVPR, 2014)

Exploiting global force torque measurements for local compliance estimation in tactile arrays. - Carlo Ciliberto; Luca Fiorio; Marco Maggiali; Lorenzo Natale; Lorenzo Rosasco; Giorgio Metta; Giulio Sandini; Francesco Nori (IROS, 2014)

Learning multiple visual tasks while discovering their structure. - Carlo Ciliberto; Lorenzo Rosasco; Silvia Villa (CVPR, 2015)

Convex Learning of Multiple Tasks and their Structure. - Carlo Ciliberto; Youssef Mroueh; Tomaso A. Poggio; Lorenzo Rosasco (ICML, 2015)

Teaching iCub to recognize objects using deep Convolutional Neural Networks. - Giulia Pasquale; Carlo Ciliberto; Francesca Odone; Lorenzo Rosasco; Lorenzo Natale (MLIS@ICML, 2015)

Characterizing the Input-Output Function of the Olfactory-Limbic Pathway in the Guinea Pig. - Gian Luca Breschi; Carlo Ciliberto; Thierry Nieus; Lorenzo Rosasco; Stefano Taverna; Michela Chiappalone; Valentina Pasquale (Comput. Intell. Neurosci., 2015)

Real-world Object Recognition with Off-the-shelf Deep Conv Nets: How Many Objects can iCub Learn? - Giulia Pasquale; Carlo Ciliberto; Francesca Odone; Lorenzo Rosasco; Lorenzo Natale (CoRR, 2015)

Combining sensory modalities and exploratory procedures to improve haptic object recognition in robotics. - Bertrand Higy; Carlo Ciliberto; Lorenzo Rosasco; Lorenzo Natale (Humanoids, 2016)

Active perception: Building objects' models using tactile exploration. - Nawid Jamali; Carlo Ciliberto; Lorenzo Rosasco; Lorenzo Natale (Humanoids, 2016)

Object identification from few examples by improving the invariance of a Deep Convolutional Neural Network. - Giulia Pasquale; Carlo Ciliberto; Lorenzo Rosasco; Lorenzo Natale (IROS, 2016)

A Consistent Regularization Approach for Structured Prediction. - Carlo Ciliberto; Lorenzo Rosasco; Alessandro Rudi (NIPS, 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)

Enabling Depth-Driven Visual Attention on the iCub Humanoid Robot: Instructions for Use and New Perspectives. - Giulia Pasquale; Tanis Mar; Carlo Ciliberto; Lorenzo Rosasco; Lorenzo Natale (Frontiers Robotics AI, 2016)

Low Compute and Fully Parallel Computer Vision with HashMatch. - Sean Ryan Fanello; Julien P. C. Valentin; Adarsh Kowdle; Christoph Rhemann; Vladimir Tankovich; Carlo Ciliberto; Philip Davidson; Shahram Izadi (ICCV, 2017)

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

Consistent Multitask Learning with Nonlinear Output Relations. - Carlo Ciliberto; Alessandro Rudi; Lorenzo Rosasco; Massimiliano Pontil (NIPS, 2017)

Quantum machine learning: a classical perspective. - Carlo Ciliberto; Mark Herbster; Alessandro Davide Ialongo; Massimiliano Pontil; Andrea Rocchetto; Simone Severini; Leonard Wossnig (CoRR, 2017)

Reexamining Low Rank Matrix Factorization for Trace Norm Regularization. - Carlo Ciliberto; Dimitris Stamos; Massimiliano Pontil (CoRR, 2017)

Connecting YARP to the Web with Yarp.js. - Carlo Ciliberto (Frontiers Robotics AI, 2017)

Visual recognition for humanoid robots. - Sean Ryan Fanello; Carlo Ciliberto; Nicoletta Noceti; Giorgio Metta; Francesca Odone (Robotics Auton. Syst., 2017)

Learning To Learn Around A Common Mean. - Giulia Denevi; Carlo Ciliberto; Dimitris Stamos; Massimiliano Pontil (NeurIPS, 2018)

Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance. - Giulia Luise; Alessandro Rudi; Massimiliano Pontil; Carlo Ciliberto (NeurIPS, 2018)

Manifold Structured Prediction. - Alessandro Rudi; Carlo Ciliberto; Gian Maria Marconi; Lorenzo Rosasco (NeurIPS, 2018)

Incremental Learning-to-Learn with Statistical Guarantees. - Giulia Denevi; Carlo Ciliberto; Dimitris Stamos; Massimiliano Pontil (UAI, 2018)

Learning-to-Learn Stochastic Gradient Descent with Biased Regularization. - Giulia Denevi; Carlo Ciliberto; Riccardo Grazzi; Massimiliano Pontil (ICML, 2019)

Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction. - Giulia Luise; Dimitrios Stamos; Massimiliano Pontil; Carlo Ciliberto (ICML, 2019)

Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation. - Ruohan Wang; Carlo Ciliberto; Pierluigi Vito Amadori; Yiannis Demiris (ICML, 2019)

Localized Structured Prediction. - Carlo Ciliberto; Francis R. Bach; Alessandro Rudi (NeurIPS, 2019)

Online-Within-Online Meta-Learning. - Giulia Denevi; Dimitris Stamos; Carlo Ciliberto; Massimiliano Pontil (NeurIPS, 2019)

Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm. - Giulia Luise; Saverio Salzo; Massimiliano Pontil; Carlo Ciliberto (NeurIPS, 2019)

Are we done with object recognition? The iCub robot's perspective. - Giulia Pasquale; Carlo Ciliberto; Francesca Odone; Lorenzo Rosasco; Lorenzo Natale (Robotics Auton. Syst., 2019)

Hyperbolic Manifold Regression. - Gian Maria Marconi; Carlo Ciliberto; Lorenzo Rosasco (AISTATS, 2020)

The Advantage of Conditional Meta-Learning for Biased Regularization and Fine Tuning. - Giulia Denevi; Massimiliano Pontil; Carlo Ciliberto (NeurIPS, 2020)

Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning. - Luca Oneto; Michele Donini; Giulia Luise; Carlo Ciliberto; Andreas Maurer; Massimiliano Pontil (NeurIPS, 2020)

Structured Prediction for Conditional Meta-Learning. - Ruohan Wang; Yiannis Demiris; Carlo Ciliberto (NeurIPS, 2020)

Fast quantum learning with statistical guarantees. - Carlo Ciliberto; Andrea Rocchetto; Alessandro Rudi; Leonard Wossnig (CoRR, 2020)

A Structured Prediction Approach for Conditional Meta-Learning. - Ruohan Wang; Yiannis Demiris; Carlo Ciliberto (CoRR, 2020)

Support-weighted Adversarial Imitation Learning. - Ruohan Wang; Carlo Ciliberto; Pierluigi Vito Amadori; Yiannis Demiris (CoRR, 2020)

Generalization Properties of Optimal Transport GANs with Latent Distribution Learning. - Giulia Luise; Massimiliano Pontil; Carlo Ciliberto (CoRR, 2020)

A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings. - Carlo Ciliberto; Lorenzo Rosasco; Alessandro Rudi (J. Mach. Learn. Res., 2020)

Approximating Hamiltonian dynamics with the Nyström method. - Alessandro Rudi; Leonard Wossnig; Carlo Ciliberto; Andrea Rocchetto; Massimiliano Pontil; Simone Severini (Quantum, 2020)

Adversarial Imitation Learning with Trajectorial Augmentation and Correction. - Dafni Antotsiou; Carlo Ciliberto; Tae-Kyun Kim 001 (ICRA, 2021)

PSD Representations for Effective Probability Models. - Alessandro Rudi; Carlo Ciliberto (NeurIPS, 2021)

The Role of Global Labels in Few-Shot Classification and How to Infer Them. - Ruohan Wang; Massimiliano Pontil; Carlo Ciliberto (NeurIPS, 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)

Measuring dissimilarity with diffeomorphism invariance. - Théophile Cantelobre; Carlo Ciliberto; Benjamin Guedj; Alessandro Rudi (ICML, 2022)

Distribution Regression with Sliced Wasserstein Kernels. - Dimitri Meunier; Massimiliano Pontil; Carlo Ciliberto (ICML, 2022)

Modular Adaptive Policy Selection for Multi- Task Imitation Learning through Task Division. - Dafni Antotsiou; Carlo Ciliberto; Tae-Kyun Kim 001 (ICRA, 2022)

Conditional Meta-Learning of Linear Representations. - Giulia Denevi; Massimiliano Pontil; Carlo Ciliberto (NeurIPS, 2022)

Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces. - Vladimir Kostic; Pietro Novelli; Andreas Maurer; Carlo Ciliberto; Lorenzo Rosasco; Massimiliano Pontil (NeurIPS, 2022)

Implicit kernel meta-learning using kernel integral forms. - John Isak Texas Falk; Carlo Ciliberto; Massimiliano Pontil (UAI, 2022)

Schedule-Robust Online Continual Learning. - Ruohan Wang; Marco Ciccone; Giulia Luise; Andrew Yapp; Massimiliano Pontil; Carlo Ciliberto (CoRR, 2022)

Operator World Models for Reinforcement Learning. - Pietro Novelli; Marco Pratticò; Massimiliano Pontil; Carlo Ciliberto (NeurIPS, 2024)

Closed-form Filtering for Non-linear Systems. - Théophile Cantelobre; Carlo Ciliberto; Benjamin Guedj; Alessandro Rudi (CoRR, 2024)

Hybrid-Segmentor: A Hybrid Approach to Automated Fine-Grained Crack Segmentation in Civil Infrastructure. - June Moh Goo; Xenios Milidonis; Alessandro Artusi; Jan Boehm 001; Carlo Ciliberto (CoRR, 2024)

Deep Tabular Learning via Distillation and Language Guidance. - Ruohan Wang; Wenhao Fu; Carlo Ciliberto (Trans. Mach. Learn. Res., 2024)

Robust Meta-Representation Learning via Global Label Inference and Classification. - Ruohan Wang; John Isak Texas Falk; Massimiliano Pontil; Carlo Ciliberto (IEEE Trans. Pattern Anal. Mach. Intell., 2024)