Carlo Ciliberto
Title
Cited by
Cited by
Year
Quantum machine learning: a classical perspective
C Ciliberto, M Herbster, AD Ialongo, M Pontil, A Rocchetto, S Severini, ...
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2018
862018
Convex learning of multiple tasks and their structure
C Ciliberto, Y Mroueh, T Poggio, L Rosasco
International Conference on Machine Learning, 1548-1557, 2015
502015
Teaching iCub to recognize objects using deep Convolutional Neural Networks
G Pasquale, C Ciliberto, F Odone, L Rosasco, L Natale
Machine Learning for Interactive Systems, 21-25, 2015
482015
Object identification from few examples by improving the invariance of a deep convolutional neural network
G Pasquale, C Ciliberto, L Rosasco, L Natale
2016 IEEE/RSJ international conference on intelligent robots and systems …, 2016
412016
Active perception: Building objects' models using tactile exploration
N Jamali, C Ciliberto, L Rosasco, L Natale
2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids …, 2016
322016
Differential properties of sinkhorn approximation for learning with wasserstein distance
G Luise, A Rudi, M Pontil, C Ciliberto
Advances in Neural Information Processing Systems, 5859-5870, 2018
302018
A consistent regularization approach for structured prediction
C Ciliberto, L Rosasco, A Rudi
Advances in neural information processing systems, 4412-4420, 2016
272016
Reexamining lucas-kanade method for real-time independent motion detection: Application to the icub humanoid robot
C Ciliberto, U Pattacini, L Natale, F Nori, G Metta
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011
262011
Low compute and fully parallel computer vision with hashmatch
SR Fanello, J Valentin, A Kowdle, C Rhemann, V Tankovich, C Ciliberto, ...
2017 IEEE International Conference on Computer Vision (ICCV), 3894-3903, 2017
192017
Consistent multitask learning with nonlinear output relations
C Ciliberto, A Rudi, L Rosasco, M Pontil
Advances in Neural Information Processing Systems, 1986-1996, 2017
192017
Weakly supervised strategies for natural object recognition in robotics
SR Fanello, C Ciliberto, L Natale, G Metta
2013 IEEE International Conference on Robotics and Automation, 4223-4229, 2013
192013
Online multiple instance learning applied to hand detection in a humanoid robot
C Ciliberto, F Smeraldi, L Natale, G Metta
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011
192011
Learning multiple visual tasks while discovering their structure
C Ciliberto, L Rosasco, S Villa
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
172015
Ask the image: supervised pooling to preserve feature locality
S Ryan Fanello, N Noceti, C Ciliberto, G Metta, F Odone
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
162014
Incremental robot learning of new objects with fixed update time
R Camoriano, G Pasquale, C Ciliberto, L Natale, L Rosasco, G Metta
2017 IEEE International Conference on Robotics and Automation (ICRA), 3207-3214, 2017
152017
A heteroscedastic approach to independent motion detection for actuated visual sensors
C Ciliberto, SR Fanello, L Natale, G Metta
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012
152012
On the impact of learning hierarchical representations for visual recognition in robotics
C Ciliberto, SR Fanello, M Santoro, L Natale, G Metta, L Rosasco
Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International …, 2013
142013
Real-world object recognition with off-the-shelf deep conv nets: How many objects can icub learn?
G Pasquale, C Ciliberto, F Odone, L Rosasco, L Natale
arXiv preprint arXiv:1504.03154, 2015
132015
Incremental learning-to-learn with statistical guarantees
G Denevi, C Ciliberto, D Stamos, M Pontil
arXiv preprint arXiv:1803.08089, 2018
122018
Learning to learn around a common mean
G Denevi, C Ciliberto, D Stamos, M Pontil
Advances in Neural Information Processing Systems, 10169-10179, 2018
122018
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Articles 1–20