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
2024
Kostic R. V., Lounici K., Inzerili P., Novelli P., Pontil M.
Consistent Long-Term Forecasting of Ergodic Dynamical Systems
International Conference on Machine Learning
Conference Paper
Conference
2024
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
Learning for Dynamics & Control Conference, vol. 242, (no. 1318-1329)
2024
Kostic R. V., Novelli P., Grazzi R., Lounici K., Pontil M.
Learning invariant representations of time-homogeneous stochastic dynamical systems
12th International Conference on Learning Representations
Article
Conference
2024
Su Z., Huang X., Ordoñez-Apraez D., Li Y., Li Z., Liao Q., Turrisi G., Pontil M., Semini C., Wu Y., Sreenath K.
Leveraging symmetry in RL-based legged locomotion control
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems
Conference Paper
Conference
2024
Ordonez-Apraez D., 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
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
Meanti G., Kostic V.R., Pontil M., Chatalic A., Novelli P., Rosasco L.
Estimating Koopman operators with sketching to provably learn large scale dynamical systems
Advances in Neural Information Processing Systems, vol. 36
Conference Paper
Conference
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
2023
Kostic V.R., Novelli P., Lounici K., Pontil M.
Sharp Spectral Rates for Koopman Operator Learning
Advances in Neural Information Processing Systems, vol. 36
Conference Paper
Conference
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
Awards
2024
Macaluso A., Bottino A., Pratticò F.G., Lamberti F., Galletti C., Storchi C., Podda J., Tacchino A., Brichetto G., Boccardo N., et al.
Best Session Presentation - Executive Control in a Mixed Reality Exergame for Motor-Cognitive Rehabilitation in Multiple Sclerosis
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