IIT Publications Search

Publications
2025
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
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
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
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
Kostic V. R., Lounici K., Pacreau G., Novelli P., Turri G., Pontil M.
Neural Conditional Probability for Inference
Advances in Neural Information Processing Systems 37
Conference Paper Conference
2024
Grazzi R., Pontil M., Salzo S.
Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates
Proceedings of Machine Learning Research, vol. 235, pp. 16250-16274
Conference Paper Conference
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