Loris Cannelli
Loris Cannelli
Researcher, Dalle Molle Institute for Artificial Intelligence IDSIA/SUPSI, Lugano, Switzerland
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Asynchronous parallel algorithms for nonconvex optimization
L Cannelli, F Facchinei, V Kungurtsev, G Scutari
Mathematical Programming 184 (1), 121-154, 2020
Asynchronous optimization over graphs: Linear convergence under error bound conditions
L Cannelli, F Facchinei, G Scutari, V Kungurtsev
IEEE Transactions on Automatic Control 66 (10), 4604-4619, 2020
Adaptive turbo equalization for underwater acoustic communication
L Cannelli, G Leus, H Dol, P van Walree
2013 MTS/IEEE OCEANS-Bergen, 1-9, 2013
Hedging using reinforcement learning: Contextual k-armed bandit versus Q-learning
L Cannelli, G Nuti, M Sala, O Szehr
The Journal of Finance and Data Science 9, 100101, 2023
Asynchronous parallel nonconvex large-scale optimization
L Cannelli, F Facchinei, V Kungurtsev, G Scutari
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
Multi-agent asynchronous nonconvex large-scale optimization
L Cannelli, F Facchinei, G Scutari
2017 IEEE 7th International Workshop on Computational Advances in Multi …, 2017
Parallel asynchronous lock-free algorithms for nonconvex big-data optimization
L Cannelli, G Scutari, F Facchinei, V Kungurtsev
2016 50th Asilomar Conference on Signals, Systems and Computers, 1009-1013, 2016
Kernel regression imputation in manifolds via bi-linear modeling: The dynamic-MRI case
K Slavakis, GN Shetty, L Cannelli, G Scutari, U Nakarmi, L Ying
IEEE Transactions on Computational Imaging 8, 133-147, 2022
A Parallel Algorithm for Compressed Sensing Dynamic MRI Reconstruction
L Cannelli, P Scarponi, G Scutari, L Ying
23rd annual meeting ISMRM, Toronto, 2015
Multi-agent active learning for distributed black-box optimization
L Cannelli, M Zhu, F Farina, A Bemporad, D Piga
IEEE Control Systems Letters, 2023
Gradient-based bilevel optimization for multi-penalty Ridge regression through matrix differential calculus
G Maroni, L Cannelli, D Piga
arXiv preprint arXiv:2311.14182, 2023
Split-Boost Neural Networks
RG Cestari, G Maroni, L Cannelli, D Piga, S Formentin
arXiv preprint arXiv:2309.03167, 2023
Cycle Aging Effect on Lithium-ion Battery Resistance: a Machine Learning Approach
S Barcellona, L Cannelli, S Colnago, C Laurano, L Piegari
2023 IEEE International Conference on Metrology for eXtended Reality …, 2023
Asynchronous Parallel Algorithms for Big-Data Nonconvex Optimization
L Cannelli
Purdue University Graduate School, 2019
Essentially cyclic asynchronous nonconvex large-scale optimization
L Cannelli, F Facchinei, V Kungurtsev, G Scutari
IEEE Workshop on Signal Processing Advances in Wireless Communications …, 2017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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