Carlo Ciliberto

Associate Professor in Machine Learning 
University College London  

Carlo Ciliberto - Researcher in Machine Learning, Structured Prediction, Multitask Learning, Computer Vision and Robotics

Publications

ICML 2022 Distribution Regression with Sliced Wasserstein Kernels
Dimitri Meunier, Massimiliano Pontil, Carlo Ciliberto

ICML 2022 Measuring Dissimilarity with Diffeomorphism Invariance
Théophile Cantelobre, Carlo Ciliberto, Benjamin Guedj, Alessandro Rudi

UAI 2022 Implicit Kernel Meta-learning using Kernel Integral Forms
John Isak Texas Falk, Carlo Ciliberto

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

NeurIPS 2021 The Role of Global Labels in Few-Shot Classification and How to Infer Them
Ruohan Wang, Massimiliano Pontil, Carlo Ciliberto

NeurIPS 2021 Psd representations for effective probability models
Alessandro Rudi, Carlo Ciliberto

ICRA 2021 Adversarial imitation learning with trajectorial augmentation and correction
Dafni Antotsiou, Carlo Ciliberto, Tae-Kyun Kim

IEEE Robotics and Automation Letters (RAL) 2021 Structured Prediction for CRiSP Inverse Kinematics Learning with Misspecified Robot Models
Gian Maria Marconi, Raffaello Camoriano, Lorenzo Rosasco, Carlo Ciliberto

Physical Review A 2020 Statistical Limits of Supervised Quantum Learning
Carlo Ciliberto, Andrea Rocchetto, Alessandro Rudi, Leonard Wossnig

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

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

AISTATS 2020 Hyperbolic Manifold Regression
Gian Maria Marconi, Lorenzo Rosasco, Carlo Ciliberto

JMLR 2020 A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings
Carlo Ciliberto, Lorenzo Rosasco, Alessandro Rudi

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

NeurIPS 2019 Localized Structured Prediction
Carlo Ciliberto, Francis Bach, Alessandro Rudi

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

ICML 2019 Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction
Giulia Luise, Dimitris Stamos, Massimiliano Pontil, Carlo Ciliberto

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

ICML 2019 Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation
Ruohan Wang, Carlo Ciliberto, Pierluigi Amadori, Yiannis Demiris

NIPS 2018 Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance
Giulia Luise, Alessandro Rudi, Massimiliano Pontil, Carlo Ciliberto

NIPS 2018 Manifold Structured Prediction
Alessandro Rudi*, Carlo Ciliberto*, Gian Maria Marconi, Lorenzo Rosasco

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

Proceeding of the Royal Society A 2018 Quantum machine learning: a classical perspective
Carlo Ciliberto, Mark Herbster, Alessandro Davide Ialongo, Massimiliano Pontil, Andrea Rocchetto, Simone Severini, Leonard Wossnig

NIPS 2017 Consistent Multitask Learning with Nonlinear Output Relations
Carlo Ciliberto, Alessandro Rudi, Lorenzo Rosasco, Massimiliano Pontil slides

Robotics and Autonomous Systems 2017 Visual recognition for humanoid robots
Sean Ryan Fanello, Carlo Ciliberto, Nicoletta Noceti, Giorgio Metta, Francesca Odone

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

ICRA 2017 Incremental Robot Learning of New Objects with Fixed Update Time
Raffaello Camoriano, Giulia Pasquale, Carlo Ciliberto, Lorenzo Natale, Lorenzo Rosasco, Giorgio Metta

Frontiers in Robotics and AI 2017 Connecting YARP to the Web with yarp.js
Carlo Ciliberto

NIPS 2016 A Consistent Regularization Approach for Structured Prediction
Carlo Ciliberto, Alessandro Rudi, Lorenzo Rosasco slides

Humanoids 2016 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

IROS 2016 Object identification from few examples by improving the invariance of a deep convolutional neural network
Giulia Pasquale, Carlo Ciliberto, Lorenzo Rosasco, Lorenzo Natale

Frontiers in Robotics and AI 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

ICML 2015 Convex Learning of Multiple Tasks and their Structure
Carlo Ciliberto, Youssef Mroueh, Tomaso Poggio, Lorenzo Rosasco slides

CVPR 2015 Learning Multiple Visual Tasks while Discovering their Structure
Carlo Ciliberto, Lorenzo Rosasco, Silvia Villa

Computational intelligence and neuroscience 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

IROS 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

CVPR 2014 Ask the image: supervised pooling to preserve feature locality
Sean Ryan Fanello, Nicoletta Noceti, Carlo Ciliberto, Giorgio Metta, Francesca Odone

IROS 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

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

IROS 2012 A Heteroscedastic Approach to Independent Motion Detection for Actuated Visual Sensors
Carlo Ciliberto, Sean Ryan Fanello, Lorenzo Natale, 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 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


Carlo Ciliberto
c.ciliberto@ucl.ac.uk
 
University College London,
90 High Holborn, London, WC1V 6LJ, UK
United Kingdom

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