Publications
2025
Apraez D.O., 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
2024
Kostic V., Lounici K., Inzerili P., Novelli P., Pontil M.
Consistent Long-Term Forecasting of Ergodic Dynamical Systems
Proceedings of Machine Learning Research, vol. 235, pp. 25370-25395
Conference Paper
Conference
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
Ordonez-Apraez D.F., Kostic V., Turrisi G., Novelli P., Mastalli C., Semini C., Pontil M.
Dynamics Harmonic Analysis of Robotic Systems: Application in Data-Driven Koopman Modelling
Proceedings of Machine Learning Research, vol. 242, pp. 1318-1329
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
Novelli P., Bonati L., Buigues P. J., Meanti G., Rosasco L., Parrinello M., Pontil M.
Fine-tuning Foundation Models for Molecular Dynamics: A Data-Efficient Approach with Random Features
Machine Learning and the Physical Sciences Workshop at the 38th conference on Neural Information Processing Systems (NeurIPS)
Conference Paper
Conference
2024
Devergne T., Kostic V. R., Parrinello M., Pontil M.
From Biased to Unbiased Dynamics: An In- finitesimalGenerator Approach
Advances in Neural Information Processing Systems 37
Conference Paper
Conference
2024
Akhavan A., Chzhen E., Pontil M., Tsybakov A. B.
Gradient-free optimization of highly smooth functions: improved analysis and a new algorithm"
Journal of Machine Learning Research, vol. 25, (no. 370), pp. 1-50
Article
Journal
2024
Parletta D., Paudice A., Pontil M., Salzo S.
High probability bounds for stochastic subgradient schemes with heavy tailed noise
SIAM Journal on Mathematics of Data Science, vol. 6, (no. 4), pp. 953-977
Article
Journal
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
Kostic V.R., Novelli P., Grazzi R., Lounici K., Pontil M.
LEARNING INVARIANT REPRESENTATIONS OF TIME-HOMOGENEOUS STOCHASTIC DYNAMICAL SYSTEMS
12th International Conference on Learning Representations, ICLR 2024
Conference Paper
Conference
2024
Kostic V. R., Lounici K., Halconruy H., Devergne T., Pontil M.
Learning the Infinitesimal Generator of Stochastic Diffusion Processes
Advances in Neural Information Processing Systems 37
Conference Paper
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
2024
Ordoñez-Apraez D., Turrisi G., Kostic V. R., Martin M., Agudo A., Moreno-Noguer F., Pontil M., Semini C., Mastalli C.
Morphological Symmetries in Robotics
Int. Jour. of Robotics Research
Article in Press
Journal