Publications and Awards
Rehab Technologies Lab is an award-winning research line of IIT and our teams actively support the scientific community with many publications, dissemination talks and other accomplishments.
Publications
2023
Grazzi R., Pontil M., Salzo S.
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start
Journal of Machine Learning Research
Article
Journal
2023
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
arXiv
Report
E-print Archive
2023
Meanti G., Chatalic A., Kostic V., Novelli P., Pontil M., Rosasco L.
Estimating Koopman operators with sketching to provably learn large scale dynamical systems
Advances in Neural Information Processing Systems
Conference Paper
Conference
2023
Akhavan A., Chzhen E., Pontil M., Tsybakov A. B.
Gradient-free optimization of highly smooth functions: improved analysis and a new algorithm
arXiv
Report
E-print Archive
2023
Romeo L., Olugbade T., Pontil M., Bianchi-Berthouze N.
Multi-Rater Consensus Learning for Modeling Multiple Sparse Ratings of Affective Behaviour
IEEE Transactions on Affective Computing
2023
Cella L., Lounici K., Pacreau G., Pontil M.
Multi-task Representation Learning with Stochastic Linear Bandits
Proceedings of Machine Learning Research, vol. 206, pp. 4822-4847
Conference Paper
Conference
2023
Ciliberto C., Pontil M., Stamos D.
Reexamining low rank matrix factorization for trace norm regularization
Mathematics In Engineering, vol. 5, (no. 3), pp. 1-22
Article
Journal
2023
Wang R., Falk J.I.T., Pontil M., Ciliberto C.
Robust Meta-Representation Learning via Global Label Inference and Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1-16
Article
Journal
2023
Kostic V., Lounici K., Novelli P., Pontil M.
Sharp Spectral Rates for Koopman Operator Learning
Advances in Neural Information Processing Systems
Conference Paper
Conference
2023
Falk J. I. T., Bonati L., Novelli P., Parrinello M., Pontil M.
Transfer learning for atomistic simulations using GNNs and kernel mean embeddings
Advances in Neural Information Processing Systems
Conference Paper
Conference
2022
Akhavan A., Chzhen E., Pontil M., Tsybakov A.B.
A gradient estimator via L1-randomization for online zero-order optimization with two point feedback
Advances in Neural Information Processing Systems, vol. 35
Conference Paper
Conference
2022
Tremmel C., Fernandez-Vargas J., Stamos D., Cinel C., Pontil M., Citi L., Poli R.
A meta-learning BCI for estimating decision confidence
Journal of Neural Engineering, vol. 19, (no. 4)
2022
KostiA V.R., Salzo S., Pontil M.
Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity
Proceedings of Machine Learning Research, vol. 162, pp. 11529-11558
Conference Paper
Conference
2022
Frecon J., Gasso G., Pontil M., Salzo S.
Bregman Neural Networks
Proceedings of Machine Learning Research, vol. 162, pp. 6779-6792
Conference Paper
Conference
2022
Novelli P., Bonati L., Pontil M., Parrinello M.
Characterizing Metastable States with the Help of Machine Learning
Journal of Chemical Theory and Computation, vol. 18, (no. 9), pp. 5195-5202
Awards
2022
Maludrottu S., Laffranchi M., Vassallo C., Vaccaro R., De Michieli L.
iF DESIGN AWARD 2022 - Twin Exoskeleton
2021
Laffranchi M., Traverso S., Vaccaro R., Maludrottu S., Poli F., De Bartolomeis L., Diamanti G., Gruppioni E., De Michieli L.
Good Design
2020
Laffranchi M.
Robotics 2020 Young Investigator Award
2020
Laffranchi M., Boccardo N., Traverso S., Lombardi L., Canepa M., Lince A., Semprini M., Saglia J.A., Naceri A., Sacchetti R., et al.
XXVI Compasso d'oro
2019
Colombi I.
PhD thesis award in Neuroengineering "MASSIMO GRATTAROLA" (17^ Ed.)
2018
Laffranchi M., Boccardo N., Traverso S., Lince A., Canepa M., Saglia J., Gruppioni E., Sacchetti R., Diamanti G., Poli F., et al.
ADI Design Index
2018
Laffranchi M., Boccardo N., Traverso S., Lombardi L., Canepa M., Lince A., Semprini M., Saglia J.A., Naceri A., Sacchetti R., et al.
ADI Design Index
2018
Laffranchi M., Boccardo N., Traverso S., Lombardi L., Canepa M., Lince A., Semprini M., Saglia J.A., Naceri A., Sacchetti R., et al.
Good Design
2018
Semprini M.
selected as "reviewer of the year" for Journal of Neural Engineering
2012
Laffranchi M.
Best Jubilee Video Award