Publications
2026
Bojovic M., Salzo S., Pontil M.
AdaGrad and Universality in Composite Optimization: Failure and a Remedy
OPT 2026: Optimization for Machine Learning (NeurIPS 2026 Workshop)
Conference Review
Conference
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
Germain T., Flamary R., Kostic V., Lounici K.
A Spectral-Grassmann Wasserstein metric for operator representations of dynamical systems
International Conference on Learning Representations, pp. 119652-119688
Conference Paper
Conference
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
Germain T., Chemlal S., Flamary R., Kostic V. R., Lounici K.
Geometric Dictionary Learning of Dynamical Systems with Optimal Transport
International Conference on Learning Representations (ICLR)
Conference Paper
Conference
2026
Mirzaei E., Maurer A., Pontil M.
Hot training errors predict cold test errors in the interpolation regime
AXIOM NuerIPS Workshop: Foundations of Efficient Deep 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
2026
Turri G., Pacreau G., Meanti G., Devergne T., Ordonez D., Mirzaei E., Belucci B., Lounici K., Kostic V., Pontil M., Novelli P.
kooplearn: A scikit-learn compatible library of algorithms for evolution operator learning
The Journal of Open Source Software, vol. 11, (no. 122), pp. 10342
Article
Journal
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
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)