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
Kostic V.R., Salzo S.
The method of randomized Bregman projections for stochastic feasibility problems
Numerical Algorithms, vol. 93, (no. 3), pp. 1269-1307
2022
Salzo S., Villa S.
Parallel random block-coordinate forward–backward algorithm: a unified convergence analysis
Mathematical Programming, Series B, vol. 193, (no. 1), pp. 225-269
2021
Salzo S., Villa S.
Proximal Gradient Methods for Machine Learning and Imaging
Harmonic and Applied Analysis. From Radon Transforms to Machine Learning, Publisher: Birkhäuser
2020
Salzo S., Suykens J.A.K.
Generalized support vector regression: Duality and tensor-kernel representation
Analysis and Applications, vol. 18, (no. 1), pp. 149-183
2020
Grazzi R., Franceschi L., Pontil M., Salzo S.
On the iteration complexity of hypergradient computation
37th International Conference on Machine Learning, ICML 2020, vol. PartF168147-5, pp. 3706-3716
Conference Paper
Conference
2020
Frecon J., Salzo S., Pontil M.
Unveiling groups of related tasks in multi-task learning
Proceedings - International Conference on Pattern Recognition, pp. 7134-7141
2018
Frecon J., Salzo S., Pontil M.
Bilevel learning of the group lasso structure
Advances in Neural Information Processing Systems, vol. 2018-December, pp. 8301-8311
Conference Paper
Conference
2018
Franceschi L., Frasconi P., Salzo S., Grazzi R., Pontil M.
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
35th International Conference on Machine Learning, ICML 2018, vol. 4, pp. 2537-2548
Conference Paper
Conference
2018
Franceschi L., Grazzi R., Pontil M., Salzo S., Frasconi P.
Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning
International Workshop on Automatic Machine Learning
Conference Paper
Conference
2018
Tomasi F., Tozzo V., Verri A., Salzo S.
Forward-Backward Splitting for Time-Varying Graphical Models
Proceedings of the Ninth International Conference on Probabilistic Graphical Models, vol. PMLR, 72, pp. 475--486
Conference Paper
Conference
2018
Tomasi F., Salzo S., Tozzo V., Verri A.
Latent variable time-varying network inference
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 2338-2346
2018
Combettes P.L., Salzo S., Villa S.
Regularized learning schemes in feature Banach spaces
Analysis and Applications, vol. 16, (no. 1), pp. 1-54
2018
Salzo S., Suykens J.A.K., Rosasco L.
Solving ℓp-norm regularization with tensor kernels
International Conference on Artificial Intelligence and Statistics, AISTATS 2018, pp. 1655-1663
Conference Paper
Conference
2015
Barla A., Salzo S., Verri A.
Regularized dictionary learning
Regularization, Optimization, Kernels, and Support Vector Machines, Publisher: CRC Press
Book Chapter
Book
2014
Salzo S., Masecchia S., Verri A., Barla A.
Alternating proximal regularized dictionary learning
Neural Computation, vol. 26, (no. 12), pp. 2855-2895
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