Relevant Papers
2024
Bortolon M., Tsesmelis T., James S., Poiesi F., Del Bue A.
6DGS: 6D Pose Estimation from a Single Image and a 3D Gaussian Splatting Model
European Conference on Computer Vision
2024
Scarpellini G., Fiorini S., Giuliari F., Morerio P., Del Bue A.
DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly
IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024
2024
Scarpellini G., Rosa S., Morerio P., Natale L., Del Bue A.
Look Around and Learn: Self-Training Object Detection by Exploration
European Conference on Computer Vision
2022
Giuliari F., Skenderi G., Cristani M., Wang Y., Del Bue A.
Spatial Commonsense Graph for Object Localisation in Partial Scenes
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2022-June, pp. 19496-19505
Publications
2024
Kostic R. V., Lounici K., Inzerili P., Novelli P., Pontil M.
Consistent Long-Term Forecasting of Ergodic Dynamical Systems
International Conference on Machine Learning
Conference Paper
Conference
2024
Ordoñez-Apraez D., Kostic V., Turrisi G., Novelli P., Mastalli C., Semini C., Pontil M.
Dynamics Harmonic Analysis of Robotic Systems: Application in Data-Driven Koopman Modelling
Learning for Dynamics & Control Conference, vol. 242, (no. 1318-1329)
2024
Kostic R. V., Novelli P., Grazzi R., Lounici K., Pontil M.
Learning invariant representations of time-homogeneous stochastic dynamical systems
12th International Conference on Learning Representations
Article
Conference
2024
Su Z., Huang X., Ordoñez-Apraez D., Li Y., Li Z., Liao Q., Turrisi G., Pontil M., Semini C., Wu Y., Sreenath K.
Leveraging symmetry in RL-based legged locomotion control
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems
Conference Paper
Conference
2024
Ordonez-Apraez D., Turrisi G., Kostic V., Martin M., Agudo A., Moreno-Noguer F., Pontil M., Semini C., Mastalli C.
Morphological symmetries in robotics
International Journal of Robotics Research
2023
Grazzi R., Pontil M., Salzo S.
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start
Journal of Machine Learning Research
Article
Journal
2023
Meanti G., Kostic V.R., Pontil M., Chatalic A., Novelli P., Rosasco L.
Estimating Koopman operators with sketching to provably learn large scale dynamical systems
Advances in Neural Information Processing Systems, vol. 36
Conference Paper
Conference
2023
Meanti G., Chatalic A., Kostic V., Novelli P., Pontil M., Rosasco L.
Estimating Koopman operators with sketching to provably learn large scale dynamical systems
Advances in Neural Information Processing Systems
Conference Paper
Conference
2023
Akhavan A., Chzhen E., Pontil M., Tsybakov A. B.
Gradient-free optimization of highly smooth functions: improved analysis and a new algorithm
arXiv
Report
E-print Archive
2023
Romeo L., Olugbade T., Pontil M., Bianchi-Berthouze N.
Multi-Rater Consensus Learning for Modeling Multiple Sparse Ratings of Affective Behaviour
IEEE Transactions on Affective Computing
2023
Cella L., Lounici K., Pacreau G., Pontil M.
Multi-task Representation Learning with Stochastic Linear Bandits
Proceedings of Machine Learning Research, vol. 206, pp. 4822-4847
Conference Paper
Conference
2023
Ciliberto C., Pontil M., Stamos D.
Reexamining low rank matrix factorization for trace norm regularization
Mathematics In Engineering, vol. 5, (no. 3), pp. 1-22
Article
Journal
2023
Wang R., Falk J.I.T., Pontil M., Ciliberto C.
Robust Meta-Representation Learning via Global Label Inference and Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
2023
Kostic V.R., Novelli P., Lounici K., Pontil M.
Sharp Spectral Rates for Koopman Operator Learning
Advances in Neural Information Processing Systems, vol. 36
Conference Paper
Conference
2023
Kostic V., Lounici K., Novelli P., Pontil M.
Sharp Spectral Rates for Koopman Operator Learning
Advances in Neural Information Processing Systems
Conference Paper
Conference