Publications
2025
Mezidi A.-R., Patracone J., Salzo S., Habrard A., Pontil M., Emonet R., Sebban M.
A Bregman Proximal Viewpoint on Neural Operators
International Conference on Machine Learning
Conference Paper
Conference
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
Turri G., Kostic V., Novelli P., Pontil M.
A randomized algorithm to solve reduced rank operator regression
SIAM Journal on Mathematics of Data Science
Article
Journal
2025
Siems J., Carstensen T., Zela A., Hutter F., Pontil M., Grazzi R.
DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products
Annual Conference on Neural Information Processing Systems
Conference Paper
Conference
2025
Meunier D., Moulin A., Wornbard J., Kostic V. R., A Gretton A.
Demystifying Spectral Feature Learning for Instrumental Variable Regression
Advances in Neural Information Processing Systems
Conference Paper
Conference
2025
Ordonez-Apraez D., Kostic V. R., Fröhlich A., Lounici K., Pontil M.
Equivariant Representation Learning for Symmetry-Aware Inference with Guarantees
Workshop on Making Sense of Data in Robotics: Composition, Curation, and Interpretability at Scale at CoRL 2025
Conference Paper
Conference
2025
Novelli P., Meanti G., Buigues P.J., Rosasco L., Parrinello M., Pontil M., Bonati L.
Fast and Fourier features for transfer learning of interatomic potentials
npj Computational Materials, vol. 11, (no. 1)
Article
Journal
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
npj Computational Materials
Article
Journal
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
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
Cella L., Lounici K., Pacreau G., Pontil M.
Meta Representation Learning with Contextual Linear Bandits
Statistical Science, vol. 40, (no. 3), pp. 437-454
Article
Journal
2025
Li Z., Jin Y., Ordonez-Apraez D., Semini C., Liu P., Chalvatzaki G.
Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation
Conference on Robot Learning
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
Frohlich A., Ramos T., Motta Cabello Dos Santos G., Panzeri I., Buzatto C., Izbicki R., Tiezzi D. G.
PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification
The Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI-25)
Conference Paper
Conference