Publications
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
2025
Tokita A.M., Devergne T., Saitta A.M., Behler J.
Free energy profiles for chemical reactions in solution from high-dimensional neural network potentials: The case of the Strecker synthesis
Journal of Chemical Physics, vol. 162, (no. 17)
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
2025
Turri G., Bonati L., Zhu K., Pontil M., Novelli P.
Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical Systems
arXiv
2025
Devergne T., Kostic V., Pontil M., Parrinello M.
Slow dynamical modes from static averages
Journal of Chemical Physics, vol. 162, (no. 12)
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)
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
Huet L., Devergne T., Magrino T., Saitta A.M.
A New Route to the Prebiotic Synthesis of Glycine via Ab Initio-Based Machine Learning Calculations
Journal of Physical Chemistry Letters, pp. 8697-8705
Article
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., Huet L., Pietrucci F., Saitta A.M.
Efficient machine learning approach for accurate free-energy profiles and kinetic rates
Physical Review E, vol. 110, (no. 3)
Article
Journal