Carlo Ciliberto
Orcid: 0000-0003-0249-5273
According to our database1,
Carlo Ciliberto
authored at least 62 papers
between 2011 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024
Hybrid-Segmentor: A Hybrid Approach to Automated Fine-Grained Crack Segmentation in Civil Infrastructure.
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Modular Adaptive Policy Selection for Multi- Task Imitation Learning through Task Division.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
2021
Structured Prediction for CRiSP Inverse Kinematics Learning With Misspecified Robot Models.
IEEE Robotics Autom. Lett., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
2020
A General Framework for Consistent Structured Prediction with Implicit Loss Embeddings.
J. Mach. Learn. Res., 2020
Generalization Properties of Optimal Transport GANs with Latent Distribution Learning.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
The Advantage of Conditional Meta-Learning for Biased Regularization and Fine Tuning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Robotics Auton. Syst., 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
2016
Enabling Depth-Driven Visual Attention on the iCub Humanoid Robot: Instructions for Use and New Perspectives.
Frontiers Robotics AI, 2016
Incremental Object Recognition in Robotics with Extension to New Classes in Constant Time.
CoRR, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Object identification from few examples by improving the invariance of a Deep Convolutional Neural Network.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016
Combining sensory modalities and exploratory procedures to improve haptic object recognition in robotics.
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016
2015
Real-world Object Recognition with Off-the-shelf Deep Conv Nets: How Many Objects can iCub Learn?
CoRR, 2015
Characterizing the Input-Output Function of the Olfactory-Limbic Pathway in the Guinea Pig.
Comput. Intell. Neurosci., 2015
Proceedings of the 4th Workshop on Machine Learning for Interactive Systems, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
2014
Exploiting global force torque measurements for local compliance estimation in tactile arrays.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
2013
On the impact of learning hierarchical representations for visual recognition in robotics.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013
2012
A heteroscedastic approach to independent motion detection for actuated visual sensors.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012
2011
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011
Reexamining Lucas-Kanade method for real-time independent motion detection: Application to the iCub humanoid robot.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011