IIT Publications Search

Publications
2026
Pansardi O., Cavallo A., Turri G., Panzeri S., Sanfey A.G., Becchio C.
Altruistic punishment in action: movement vigour in neuroeconomic choice
Royal Society Open Science, vol. 13, (no. 4)
2026
Turri G., Kostic V., Novelli P., Pontil M.
A Randomized Algorithm to Solve Reduced Rank Operator Regression
SIAM Journal on Mathematics of Data Science, vol. 8, (no. 1), pp. 23-45
2026
Ramos T., Fröhlich A., Perazzo D., Pontil M.
Drift-aware uncertainty quantification via a functional spectral-Newton method
Catch, Adapt, and Operate: Monitoring ML Models Under Drift Workshop, ICLR.
Conference Paper Conference
2026
Maurer A., Mirzaei E., Pontil M.
Generalization of Gibbs and Langevin Monte Carlo Algorithms in the Interpolation Regime
International Conference on Machine Learning
Conference Paper Conference
2026
Cuneo L., Zunino A., Le L., Agostoni S., Salzo S., Calatroni L., Pontil M., Vicidomini G.
Independent noise realizations enable morphologically agnostic image reconstruction in single-photon-sensitive microscopy
BiorXiv
DOI 10.64898/2026.09.12.751176 Article E-print Archive
2026
Kostic V. R., Lounici K., Halconruy H., Devergne T., Parrinello M., Pontil M.
Langevin-Informed Transfer Learning: Replacing Target Samples by Black-Box Feedback
Advances in Neural Information Processing Systems
Article Conference
2026
Meunier D., Wornbard J., Kostic V., Moulin A., Fröhlich A., Lounici L., Pontil M., Gretton A.
Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression
International Conference on Machine Learning
Article Conference
2026
Ordonez Apraez D., Kostic V., Fröhlich A., Brandt V., Lounici K., Pontil M.
Representation Learning for Equivariant Inference with Guarantees
International Conference on Machine Learning
Conference Paper Conference
2026
Poteryayev D. A., Novelli P., Coriolano A., Dettori R., Tozzini V., Beltram F., Pontil M., Rossi A., Forti S., Coletti C.
Revealing Hidden Raman Signatures Through Attention-Based Spectral Unmixing
Advanced Intelligent Systems
DOI 10.1002/aisy.70540 Article Journal
2026
Pratticò M., Novelli P., Pontil M., Ciliberto C.
Reward-free Pretraining for Reinforcement Learning via Occupancy Coverage Maximization
Advances in Neural Information Processing Systems
Conference Paper Conference
2026
Turri G., Bonati L., Zhu K., Pontil M., Novelli P.
Self-supervised evolution operator learning for high-dimensional dynamical systems
The Fourteenth International Conference on Learning Representations (ICLR)
Conference Paper Conference
2026
Devergne T., Kostic V., Pontil M., Parrinello M.
The seeds of the future are in the present: A blind exploration of metastable states
Proceedings of the National Academy of Sciences of the United States of America, vol. 123, (no. 5)
2026
Kostic V.R., Lounici K., Pontil M.
Toeplitz-Based Spectral Methods for Data-driven Dynamical Systems
Numerical Linear Algebra with Applications, vol. 33, (no. 5)
DOI 10.1002/nla.70120 Article Journal
2026
Fröhlich A., Kostic V., Lounici K., Rodrigues Perazzo D., Tiezzi D., Pontil M.
Toward Scalable and Valid Conditional Independence Testing with Spectral Representations
International Conference on Machine Learning
Conference Paper Conference
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
Siems J., Carstensen T., Zela A., Hutter F., Pontil M., Grazzi R.
DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products
Advances in Neural Information Processing Systems, vol. 38, pp. 170628-170672
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