IIT Publications Search

Publications
2025
Mezidi A.-R., Patracone J., Salzo S., Habrard A., Pontil M., Emonet R., Sebban M.
A Bregman Proximal Viewpoint on Neural Operators
Proceedings of Machine Learning Research, vol. 267, pp. 43965-43989
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
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)
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
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, vol. 18, (no. 6), pp. 1054-1201
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
Kostic V.R., Lounici K., Halconruy H., Devergne T., Novelli P., Pontil M.
Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups
Proceedings of Machine Learning Research, vol. 267, pp. 31560-31589
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
DOI 10.1214/25-STS994 Article Journal
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
Wang R., Ciccone M., Pontil M., Ciliberto C.
Schedule-Robust Continual Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
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)
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)
2025
Fröhlich A., Kostic V. R., Lounici K., Perazzo D., Pontil M.
Toward Scalable and Valid Conditional Independence Testing with Spectral Features
EurIPS 2025 Workshop Causality for Impact
Conference Paper Conference
2025
Ordonez-Apraez D., Kostic R. V., Fröhlich A., Lounici K., Pontil M.
Unifying Regression and Uncertainty Quantification with Contrastive Spectral Representation Learning
NeurIPS 2025 Workshop on Symmetry and Geometry in Neural Representations
Conference Paper Conference

IIT Publications List

Awards
2026
Lagomarsino M., Lorenzini M., Balatti P., De Momi E., Ajoudani A.
IEEE CIS Transactions on Cognitive and Developmental Systems Outstanding Paper Award
2025
Lagomarsino M., Lorenzini M., Ajoudani A.
AI and Robotics mention of the Solution Award – MECSPE 2025 Premio Innovazione Robotica
2025
Lagomarsino M., Lorenzini M., Ajoudani A.
AI e Robotics mention of the Solution Award - MECSPE 2025 Premio Innovazione Robotica
2025
AJoudani A.
Distinguished Lecturer of the IEEE RAS TC on Collaborative Automation for Flexible Manufacturing
2025
Lagomarsino M.
IEEE RAS Italian Chapter Young Author Best Paper Award – F.Flacco YABP Award
2025
Ajoudani A.
IEEE Robotics and Automayion Society AdCom ecelcted member Class of 2027
2024
Ranavolo A., Ajoudani A., Chini G., Silvetti A., Varrecchia T., Lorenzini M., Mobedi E., Turcksin T., Draicchio F.
CEN workshop agreement on Guideline for introducing and implementing real-time instrumental-based tools for biomechanical risk assessment
2024
Ajoudani A.
Distinguished Lecturer of the IEEE RAS TC on Collaborative Automation for Flexible Manufacturing
2024
Balatti P., Ozdamar I., Sirintuna D., Fortini L., Gandarias J., Ajoudani A.
ICRA 2024 Best Paper Award in Human-Robot Interaction Finalist
2023
Lagomarsino M.
Advancing Technology for Humanity – Most Promising Researcher in Robotics and Artificial Intelligence