Carlo Ciliberto

97 papers A* 27A 9Journal 54Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Lookahead identification in adversarial bandits: accuracy and memory bounds. CoRR Nataly Brukhim, Nicolò Cesa-Bianchi, Carlo Ciliberto
2026	J	`jnl`	Schedule-Robust Continual Learning. IEEE Trans. Pattern Anal. Mach. Intell. Ruohan Wang, Marco Ciccone, Massimiliano Pontil, Carlo Ciliberto
2025	J	`jnl`	DreamerNav: learning-based autonomous navigation in dynamic indoor environments using world models. Frontiers Robotics AI Stuart Shanks, Jonathan Embley-Riches, Jianheng Liu, Andromachi Maria Delfaki, Carlo Ciliberto, Dimitrios Kanoulas
2025	—	`conf`	SAGE: Scalable Automated Generation of Environments for Robotics. ICAR Jonathan Embley-Riches, Carlo Ciliberto, Dimitrios Kanoulas
2024	J	`jnl`	Closed-form Filtering for Non-linear Systems. CoRR Théophile Cantelobre, Carlo Ciliberto, Benjamin Guedj, Alessandro Rudi
2024	J	`jnl`	Deep Tabular Learning via Distillation and Language Guidance. Trans. Mach. Learn. Res. Ruohan Wang, Wenhao Fu, Carlo Ciliberto
2024	J	`jnl`	Hybrid-Segmentor: A Hybrid Approach to Automated Fine-Grained Crack Segmentation in Civil Infrastructure. CoRR June Moh Goo, Xenios Milidonis, Alessandro Artusi, Jan Boehm, Carlo Ciliberto
2024	A*	`conf`	Operator World Models for Reinforcement Learning. NeurIPS Pietro Novelli, Marco Pratticò, Massimiliano Pontil, Carlo Ciliberto
2024	J	`jnl`	Operator World Models for Reinforcement Learning. CoRR Pietro Novelli, Marco Pratticò, Massimiliano Pontil, Carlo Ciliberto
2024	J	`jnl`	Robust Meta-Representation Learning via Global Label Inference and Classification. IEEE Trans. Pattern Anal. Mach. Intell. Ruohan Wang, John Isak Texas Falk, Massimiliano Pontil, Carlo Ciliberto
2022	A*	`conf`	Conditional Meta-Learning of Linear Representations. NeurIPS Giulia Denevi, Massimiliano Pontil, Carlo Ciliberto
2022	A*	`conf`	Distribution Regression with Sliced Wasserstein Kernels. ICML Dimitri Meunier, Massimiliano Pontil, Carlo Ciliberto
2022	J	`jnl`	Distribution Regression with Sliced Wasserstein Kernels. CoRR Dimitri Meunier, Massimiliano Pontil, Carlo Ciliberto
2022	A	`conf`	Implicit kernel meta-learning using kernel integral forms. UAI John Isak Texas Falk, Carlo Ciliberto, Massimiliano Pontil
2022	A*	`conf`	Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces. NeurIPS Vladimir Kostic, Pietro Novelli, Andreas Maurer, Carlo Ciliberto, Lorenzo Rosasco, Massimiliano Pontil
2022	J	`jnl`	Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces. CoRR Vladimir Kostic, Pietro Novelli, Andreas Maurer, Carlo Ciliberto, Lorenzo Rosasco, Massimiliano Pontil
2022	A*	`conf`	Measuring dissimilarity with diffeomorphism invariance. ICML Théophile Cantelobre, Carlo Ciliberto, Benjamin Guedj, Alessandro Rudi
2022	J	`jnl`	Measuring dissimilarity with diffeomorphism invariance. CoRR Théophile Cantelobre, Carlo Ciliberto, Benjamin Guedj, Alessandro Rudi
2022	A*	`conf`	Modular Adaptive Policy Selection for Multi- Task Imitation Learning through Task Division. ICRA Dafni Antotsiou, Carlo Ciliberto, Tae-Kyun Kim
2022	J	`jnl`	Modular Adaptive Policy Selection for Multi-Task Imitation Learning through Task Division. CoRR Dafni Antotsiou, Carlo Ciliberto, Tae-Kyun Kim
2022	J	`jnl`	Robust Meta-Representation Learning via Global Label Inference and Classification. CoRR Ruohan Wang, John Isak Texas Falk, Massimiliano Pontil, Carlo Ciliberto
2022	J	`jnl`	Schedule-Robust Online Continual Learning. CoRR Ruohan Wang, Marco Ciccone, Giulia Luise, Andrew Yapp, Massimiliano Pontil, Carlo Ciliberto
2021	A*	`conf`	Adversarial Imitation Learning with Trajectorial Augmentation and Correction. ICRA Dafni Antotsiou, Carlo Ciliberto, Tae-Kyun Kim
2021	J	`jnl`	Adversarial Imitation Learning with Trajectorial Augmentation and Correction. CoRR Dafni Antotsiou, Carlo Ciliberto, Tae-Kyun Kim
2021	J	`jnl`	Conditional Meta-Learning of Linear Representations. CoRR Giulia Denevi, Massimiliano Pontil, Carlo Ciliberto
2021	A*	`conf`	PSD Representations for Effective Probability Models. NeurIPS Alessandro Rudi, Carlo Ciliberto
2021	J	`jnl`	PSD Representations for Effective Probability Models. CoRR Alessandro Rudi, Carlo Ciliberto
2021	J	`jnl`	Structured Prediction for CRiSP Inverse Kinematics Learning With Misspecified Robot Models. IEEE Robotics Autom. Lett. Gian Maria Marconi, Raffaello Camoriano, Lorenzo Rosasco, Carlo Ciliberto
2021	J	`jnl`	Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot Models. CoRR Gian Maria Marconi, Raffaello Camoriano, Lorenzo Rosasco, Carlo Ciliberto
2021	A*	`conf`	The Role of Global Labels in Few-Shot Classification and How to Infer Them. NeurIPS Ruohan Wang, Massimiliano Pontil, Carlo Ciliberto
2021	J	`jnl`	The Role of Global Labels in Few-Shot Classification and How to Infer Them. CoRR Ruohan Wang, Massimiliano Pontil, Carlo Ciliberto
2020	J	`jnl`	A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings. CoRR Carlo Ciliberto, Lorenzo Rosasco, Alessandro Rudi
2020	J	`jnl`	A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings. J. Mach. Learn. Res. Carlo Ciliberto, Lorenzo Rosasco, Alessandro Rudi
2020	J	`jnl`	A Structured Prediction Approach for Conditional Meta-Learning. CoRR Ruohan Wang, Yiannis Demiris, Carlo Ciliberto
2020	J	`jnl`	Approximating Hamiltonian dynamics with the Nyström method. Quantum Alessandro Rudi, Leonard Wossnig, Carlo Ciliberto, Andrea Rocchetto, Massimiliano Pontil, Simone Severini
2020	A*	`conf`	Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning. NeurIPS Luca Oneto, Michele Donini, Giulia Luise, Carlo Ciliberto, Andreas Maurer, Massimiliano Pontil
2020	J	`jnl`	Fast quantum learning with statistical guarantees. CoRR Carlo Ciliberto, Andrea Rocchetto, Alessandro Rudi, Leonard Wossnig
2020	J	`jnl`	Generalization Properties of Optimal Transport GANs with Latent Distribution Learning. CoRR Giulia Luise, Massimiliano Pontil, Carlo Ciliberto
2020	A	`conf`	Hyperbolic Manifold Regression. AISTATS Gian Maria Marconi, Carlo Ciliberto, Lorenzo Rosasco
2020	J	`jnl`	Hyperbolic Manifold Regression. CoRR Gian Maria Marconi, Lorenzo Rosasco, Carlo Ciliberto
2020	A*	`conf`	Structured Prediction for Conditional Meta-Learning. NeurIPS Ruohan Wang, Yiannis Demiris, Carlo Ciliberto
2020	J	`jnl`	Support-weighted Adversarial Imitation Learning. CoRR Ruohan Wang, Carlo Ciliberto, Pierluigi Vito Amadori, Yiannis Demiris
2020	A*	`conf`	The Advantage of Conditional Meta-Learning for Biased Regularization and Fine Tuning. NeurIPS Giulia Denevi, Massimiliano Pontil, Carlo Ciliberto
2020	J	`jnl`	The Advantage of Conditional Meta-Learning for Biased Regularization and Fine-Tuning. CoRR Giulia Denevi, Massimiliano Pontil, Carlo Ciliberto
2019	J	`jnl`	Are we done with object recognition? The iCub robot's perspective. Robotics Auton. Syst. Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale
2019	A*	`conf`	Learning-to-Learn Stochastic Gradient Descent with Biased Regularization. ICML Giulia Denevi, Carlo Ciliberto, Riccardo Grazzi, Massimiliano Pontil
2019	J	`jnl`	Learning-to-Learn Stochastic Gradient Descent with Biased Regularization. CoRR Giulia Denevi, Carlo Ciliberto, Riccardo Grazzi, Massimiliano Pontil
2019	A*	`conf`	Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction. ICML Giulia Luise, Dimitrios Stamos, Massimiliano Pontil, Carlo Ciliberto
2019	J	`jnl`	Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction. CoRR Giulia Luise, Dimitris Stamos, Massimiliano Pontil, Carlo Ciliberto
2019	A*	`conf`	Localized Structured Prediction. NeurIPS Carlo Ciliberto, Francis R. Bach, Alessandro Rudi
2019	A*	`conf`	Online-Within-Online Meta-Learning. NeurIPS Giulia Denevi, Dimitris Stamos, Carlo Ciliberto, Massimiliano Pontil
2019	A*	`conf`	Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation. ICML Ruohan Wang, Carlo Ciliberto, Pierluigi Vito Amadori, Yiannis Demiris
2019	J	`jnl`	Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation. CoRR Ruohan Wang, Carlo Ciliberto, Pierluigi Vito Amadori, Yiannis Demiris
2019	A*	`conf`	Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm. NeurIPS Giulia Luise, Saverio Salzo, Massimiliano Pontil, Carlo Ciliberto
2019	J	`jnl`	Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm. CoRR Giulia Luise, Saverio Salzo, Massimiliano Pontil, Carlo Ciliberto
2018	J	`jnl`	Approximating Hamiltonian dynamics with the Nyström method. CoRR Alessandro Rudi, Leonard Wossnig, Carlo Ciliberto, Andrea Rocchetto, Massimiliano Pontil, Simone Severini
2018	A*	`conf`	Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance. NeurIPS Giulia Luise, Alessandro Rudi, Massimiliano Pontil, Carlo Ciliberto
2018	J	`jnl`	Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance. CoRR Giulia Luise, Alessandro Rudi, Massimiliano Pontil, Carlo Ciliberto
2018	A	`conf`	Incremental Learning-to-Learn with Statistical Guarantees. UAI Giulia Denevi, Carlo Ciliberto, Dimitris Stamos, Massimiliano Pontil
2018	J	`jnl`	Incremental Learning-to-Learn with Statistical Guarantees. CoRR Giulia Denevi, Carlo Ciliberto, Dimitris Stamos, Massimiliano Pontil
2018	A*	`conf`	Learning To Learn Around A Common Mean. NeurIPS Giulia Denevi, Carlo Ciliberto, Dimitris Stamos, Massimiliano Pontil
2018	J	`jnl`	Localized Structured Prediction. CoRR Carlo Ciliberto, Francis R. Bach, Alessandro Rudi
2018	A*	`conf`	Manifold Structured Prediction. NeurIPS Alessandro Rudi, Carlo Ciliberto, Gian Maria Marconi, Lorenzo Rosasco
2018	J	`jnl`	Manifold Structured Prediction. CoRR Alessandro Rudi, Carlo Ciliberto, Gian Maria Marconi, Lorenzo Rosasco
2017	J	`jnl`	Are we Done with Object Recognition? The iCub robot's Perspective. CoRR Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale
2017	J	`jnl`	Connecting YARP to the Web with Yarp.js. Frontiers Robotics AI Carlo Ciliberto
2017	—	`conf`	Consistent Multitask Learning with Nonlinear Output Relations. NIPS Carlo Ciliberto, Alessandro Rudi, Lorenzo Rosasco, Massimiliano Pontil
2017	J	`jnl`	Consistent Multitask Learning with Nonlinear Output Relations. CoRR Carlo Ciliberto, Alessandro Rudi, Lorenzo Rosasco, Massimiliano Pontil
2017	A*	`conf`	Incremental robot learning of new objects with fixed update time. ICRA Raffaello Camoriano, Giulia Pasquale, Carlo Ciliberto, Lorenzo Natale, Lorenzo Rosasco, Giorgio Metta
2017	A*	`conf`	Low Compute and Fully Parallel Computer Vision with HashMatch. ICCV Sean Ryan Fanello, Julien P. C. Valentin, Adarsh Kowdle, Christoph Rhemann, Vladimir Tankovich, Carlo Ciliberto, Philip Davidson, Shahram Izadi
2017	J	`jnl`	Quantum machine learning: a classical perspective. CoRR Carlo Ciliberto, Mark Herbster, Alessandro Davide Ialongo, Massimiliano Pontil, Andrea Rocchetto, Simone Severini, Leonard Wossnig
2017	J	`jnl`	Reexamining Low Rank Matrix Factorization for Trace Norm Regularization. CoRR Carlo Ciliberto, Dimitris Stamos, Massimiliano Pontil
2017	J	`jnl`	Visual recognition for humanoid robots. Robotics Auton. Syst. Sean Ryan Fanello, Carlo Ciliberto, Nicoletta Noceti, Giorgio Metta, Francesca Odone
2016	—	`conf`	A Consistent Regularization Approach for Structured Prediction. NIPS Carlo Ciliberto, Lorenzo Rosasco, Alessandro Rudi
2016	J	`jnl`	A Consistent Regularization Approach for Structured Prediction. CoRR Carlo Ciliberto, Alessandro Rudi, Lorenzo Rosasco
2016	—	`conf`	Active perception: Building objects' models using tactile exploration. Humanoids Nawid Jamali, Carlo Ciliberto, Lorenzo Rosasco, Lorenzo Natale
2016	—	`conf`	Combining sensory modalities and exploratory procedures to improve haptic object recognition in robotics. Humanoids Bertrand Higy, Carlo Ciliberto, Lorenzo Rosasco, Lorenzo Natale
2016	J	`jnl`	Enabling Depth-Driven Visual Attention on the iCub Humanoid Robot: Instructions for Use and New Perspectives. Frontiers Robotics AI Giulia Pasquale, Tanis Mar, Carlo Ciliberto, Lorenzo Rosasco, Lorenzo Natale
2016	J	`jnl`	Incremental Object Recognition in Robotics with Extension to New Classes in Constant Time. CoRR Raffaello Camoriano, Giulia Pasquale, Carlo Ciliberto, Lorenzo Natale, Lorenzo Rosasco, Giorgio Metta
2016	A	`conf`	Object identification from few examples by improving the invariance of a Deep Convolutional Neural Network. IROS Giulia Pasquale, Carlo Ciliberto, Lorenzo Rosasco, Lorenzo Natale
2015	J	`jnl`	Characterizing the Input-Output Function of the Olfactory-Limbic Pathway in the Guinea Pig. Comput. Intell. Neurosci. Gian Luca Breschi, Carlo Ciliberto, Thierry Nieus, Lorenzo Rosasco, Stefano Taverna, Michela Chiappalone, Valentina Pasquale
2015	A*	`conf`	Convex Learning of Multiple Tasks and their Structure. ICML Carlo Ciliberto, Youssef Mroueh, Tomaso A. Poggio, Lorenzo Rosasco
2015	J	`jnl`	Convex Learning of Multiple Tasks and their Structure. CoRR Carlo Ciliberto, Youssef Mroueh, Tomaso A. Poggio, Lorenzo Rosasco
2015	J	`jnl`	Enabling Depth-driven Visual Attention on the iCub Humanoid Robot: Instructions for Use and New Perspectives. CoRR Giulia Pasquale, Tanis Mar, Carlo Ciliberto, Lorenzo Rosasco, Lorenzo Natale
2015	J	`jnl`	Learning Multiple Visual Tasks while Discovering their Structure. CoRR Carlo Ciliberto, Lorenzo Rosasco, Silvia Villa
2015	A*	`conf`	Learning multiple visual tasks while discovering their structure. CVPR Carlo Ciliberto, Lorenzo Rosasco, Silvia Villa
2015	J	`jnl`	Real-world Object Recognition with Off-the-shelf Deep Conv Nets: How Many Objects can iCub Learn? CoRR Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale
2015	—	`conf`	Teaching iCub to recognize objects using deep Convolutional Neural Networks. MLIS@ICML Giulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale
2014	A*	`conf`	Ask the Image: Supervised Pooling to Preserve Feature Locality. CVPR Sean Ryan Fanello, Nicoletta Noceti, Carlo Ciliberto, Giorgio Metta, Francesca Odone
2014	A	`conf`	Exploiting global force torque measurements for local compliance estimation in tactile arrays. IROS Carlo Ciliberto, Luca Fiorio, Marco Maggiali, Lorenzo Natale, Lorenzo Rosasco, Giorgio Metta, Giulio Sandini, Francesco Nori
2013	A	`conf`	On the impact of learning hierarchical representations for visual recognition in robotics. IROS Carlo Ciliberto, Sean Ryan Fanello, Matteo Santoro, Lorenzo Natale, Giorgio Metta, Lorenzo Rosasco
2013	A*	`conf`	Weakly supervised strategies for natural object recognition in robotics. ICRA Sean Ryan Fanello, Carlo Ciliberto, Lorenzo Natale, Giorgio Metta
2013	—	`conf`	iCub World: Friendly Robots Help Building Good Vision Data-Sets. CVPR Workshops Sean Ryan Fanello, Carlo Ciliberto, Matteo Santoro, Lorenzo Natale, Giorgio Metta, Lorenzo Rosasco, Francesca Odone
2013	J	`jnl`	iCub World: Friendly Robots Help Building Good Vision Data-Sets. CoRR Sean Ryan Fanello, Carlo Ciliberto, Matteo Santoro, Lorenzo Natale, Giorgio Metta, Lorenzo Rosasco, Francesca Odone
2012	A	`conf`	A heteroscedastic approach to independent motion detection for actuated visual sensors. IROS Carlo Ciliberto, Sean Ryan Fanello, Lorenzo Natale, Giorgio Metta
2011	A	`conf`	Online multiple instance learning applied to hand detection in a humanoid robot. IROS Carlo Ciliberto, Fabrizio Smeraldi, Lorenzo Natale, Giorgio Metta
2011	A	`conf`	Reexamining Lucas-Kanade method for real-time independent motion detection: Application to the iCub humanoid robot. IROS Carlo Ciliberto, Ugo Pattacini, Lorenzo Natale, Francesco Nori, Giorgio Metta