IIT Publications Search

Pubblicazioni
2025
Mirzaei E., Maurer A., Kostic V.R., Pontil M.
An Empirical Bernstein Inequality for Dependent Data in Hilbert Spaces and Applications
Proceedings of Machine Learning Research, vol. 258, pp. 5158-5166
Conference Paper Conference
2025
Novelli P., Meanti G., Buigues P., Rosasco L., Parrinello M., Pontil M., Bonati L.
Fast and Fourier Features for Transfer Learning of Interatomic Potentials
arXiv
DOI 10.48550/arXiv.2505.05652 Article E-print Archive
2025
Franceschi L., Donini M., Perrone V., Klein A., Archambeau C., Seeger M., Pontil M., Frasconi P.
Hyperparameter optimization in machine learning
Foundations and Trends® in Machine Learning
Article Journal
2025
Kostic V., Lounici K., Halconruy H., Deveregne T., Novelli P., Pontil M.
Laplace transform based low-complexity learning of continuous Markov semigroups
International Conference on Machine Learning
Conference Paper Conference
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
DOI 10.1177/02783649241282422 Note Journal
2025
Turri G., Bonati L., Zhu K., Pontil M., Novelli P.
Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical Systems
arXiv
DOI 10.48550/arXiv.2505.18671 Article E-print Archive
2025
Devergne T., Kostic V., Pontil M., Parrinello M.
Slow dynamical modes from static averages
Journal of Chemical Physics, vol. 162, (no. 12)
DOI 10.1063/5.0246248 Article Journal
2025
Sabattini L., Coriolano A., Casert C., Forti S., Barnard E.S., Beltram F., Pontil M., Whitelam S., Coletti C., Rossi A.
Towards AI-driven autonomous growth of 2D materials based on a graphene case study
Communications Physics, vol. 8, (no. 1)
DOI 10.1038/s42005-025-02086-1 Article Journal
2025
Grazzi R., Siems J., Zela A., Franke J.K.H., Hutter F., Pontil M.
UNLOCKING STATE-TRACKING IN LINEAR RNNS THROUGH NEGATIVE EIGENVALUES
13th International Conference on Learning Representations, ICLR 2025, pp. 87314-87346
Conference Paper Conference
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)
DOI 10.48550/arXiv.2312.07457 Article Conference
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 Infinitesimal Generator Approach
Advances in Neural Information Processing Systems, vol. 37
Conference Paper Conference