| 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 | 100 | 2018 |
| 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 | 51 | 2015 |
| Convex learning of multiple tasks and their structure C Ciliberto, Y Mroueh, T Poggio, L Rosasco International Conference on Machine Learning, 1548-1557, 2015 | 51 | 2015 |
| 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 | 45 | 2016 |
| 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 | 38 | 2018 |
| 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 | 36 | 2016 |
| A consistent regularization approach for structured prediction C Ciliberto, L Rosasco, A Rudi Advances in neural information processing systems, 4412-4420, 2016 | 33 | 2016 |
| 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 | 27 | 2011 |
| Consistent multitask learning with nonlinear output relations C Ciliberto, A Rudi, L Rosasco, M Pontil Advances in Neural Information Processing Systems, 1986-1996, 2017 | 23 | 2017 |
| 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 | 20 | 2017 |
| Learning-to-learn stochastic gradient descent with biased regularization G Denevi, C Ciliberto, R Grazzi, M Pontil arXiv preprint arXiv:1903.10399, 2019 | 19 | 2019 |
| 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 | 19 | 2013 |
| 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 | 18 | 2017 |
| 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 | 18 | 2011 |
| Learning to learn around a common mean G Denevi, C Ciliberto, D Stamos, M Pontil Advances in Neural Information Processing Systems, 10169-10179, 2018 | 16 | 2018 |
| 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 | 16 | 2015 |
| 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 | 16 | 2014 |
| Incremental learning-to-learn with statistical guarantees G Denevi, C Ciliberto, D Stamos, M Pontil arXiv preprint arXiv:1803.08089, 2018 | 15 | 2018 |
| 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 | 15 | 2012 |
| Random expert distillation: Imitation learning via expert policy support estimation R Wang, C Ciliberto, P Amadori, Y Demiris arXiv preprint arXiv:1905.06750, 2019 | 13 | 2019 |
Lorenzo RosascoMaLGa Machine Learning Genoa Center - Università degli Studi di GenovaVerified email at mit.edu
