Carlo Ciliberto

Robotics Research (United States) — United States

Computer Science · Physical Sciences

19h-index1.5kcitations98works4.62yr avg
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Research Topics

Domain Adaptation and Few-Shot Learning(34), Sparse and Compressive Sensing Techniques(13), Multimodal Machine Learning Applications(13), Machine Learning and Data Classification(13), Advanced Image and Video Retrieval Techniques(12)

Publications98 total

SAGE: Scalable Automated Generation of Environments for Robotics
2025
Schedule-Robust Continual Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence·2025Open Access
DreamerNav: learning-based autonomous navigation in dynamic indoor environments using world models
Frontiers in Robotics and AI·2025· 1 citedOpen Access
Hybrid-Segmentor: Hybrid approach for automated fine-grained crack segmentation in civil infrastructure
Automation in Construction·2025· 34 citedOpen Access
Hybrid-Segmentor: A Hybrid Approach to Automated Fine-Grained Crack Segmentation in Civil Infrastructure
arXiv (Cornell University)·2024· 1 citedOpen Access
Operator World Models for Reinforcement Learning
arXiv (Cornell University)·2024Open Access
Closed-form Filtering for Non-linear Systems
arXiv (Cornell University)·2024Open Access
Hybrid-Segmentor: A Hybrid Approach to Automated Damage Detection on Civil Infrastructure
2024· 5 citedOpen Access
Operator World Models for Reinforcement Learning
2024
Robust Meta-Representation Learning via Global Label Inference and Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence·2023· 5 citedOpen Access
Robust Meta-Representation Learning via Global Label Inference and Classification
arXiv (Cornell University)·2022Open Access
Schedule-Robust Online Continual Learning
arXiv (Cornell University)·2022· 1 citedOpen Access
Reexamining low rank matrix factorization for trace norm regularization
Mathematics in Engineering·2022· 12 citedOpen Access
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces
arXiv (Cornell University)·2022· 16 citedOpen Access
Modular Adaptive Policy Selection for Multi- Task Imitation Learning through Task Division
2022 International Conference on Robotics and Automation (ICRA)·2022· 3 cited
Modular Adaptive Policy Selection for Multi-Task Imitation Learning through Task Division
arXiv (Cornell University)·2022Open Access
Measuring dissimilarity with diffeomorphism invariance
arXiv (Cornell University)·2022Open Access
Distribution Regression with Sliced Wasserstein Kernels
arXiv (Cornell University)·2022· 1 citedOpen Access
The Role of Global Labels in Few-Shot Classification and How to Infer Them
UCL Discovery (University College London)·2021
The Role of Global Labels in Few-Shot Classification and How to Infer Them
arXiv (Cornell University)·2021· 5 citedOpen Access
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Frequent Co-authors

Lorenzo Rosasco(21), Massimiliano Pontil(16), Lorenzo Natale(15), Alessandro Rudi(11), Giorgio Metta(10), Sean Fanello(7), Francesca Odone(6), Giulia Pasquale(5), Giulia Denevi(5), Giulia Luise(4), Ruohan Wang(4), Andrea Rocchetto(3), Leonard Wossnig(3), Dimitris Stamos(3), Francesco Nori(3), June Moh Goo(2), Alessandro Artusi(2), Matteo Santoro(2), Ugo Pattacini(2), Pierluigi Vito Amadori(2)