Loris Cannelli

According to our database, Loris Cannelli authored at least 16 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Capacity estimation of Lithium-ion batteries through a Machine Learning approach.

Simone Barcellona, Lorenzo Codecasa, Silvia Colnago, Loris Cannelli, Christian Laurano, Gabriele Maroni

Math. Comput. Simul., 2026

2025

Gradient-based bilevel optimization for multi-penalty Ridge regression through matrix differential calculus.

Gabriele Maroni, Loris Cannelli, Dario Piga

Eur. J. Control, 2025

Neural Network-Enhanced Self-Organization for Efficient Resource Allocation in Distributed Edge Computing Environments.

Samira Hayat, Melanie Schranz, Loris Cannelli

Proceedings of the 9th IEEE International Conference on Fog and Edge Computing, 2025

2024

Temperature-Dependent State of Charge Estimation for Electric Vehicles Based on a Machine Learning Approach.

Simone Barcellona, Loris Cannelli, Lorenzo Codecasa, Silvia Colnago, Loredana Cristaldi, Christian Laurano, Gabriele Maroni

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2024

2023

Multi-Agent Active Learning for Distributed Black-Box Optimization.

Loris Cannelli, Mengjia Zhu, Francesco Farina, Alberto Bemporad, Dario Piga

IEEE Control. Syst. Lett., 2023

Split-Boost Neural Networks.

Raffaele Giuseppe Cestari, Gabriele Maroni, Loris Cannelli, Dario Piga, Simone Formentin

CoRR, 2023

Cycle Aging Effect on Lithium-ion Battery Resistance: a Machine Learning Approach.

Simone Barcellona, Loris Cannelli, Silvia Colnago, Christian Laurano, Luigi Piegari

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

2022

Kernel Regression Imputation in Manifolds Via Bi-Linear Modeling: The Dynamic-MRI Case.

Konstantinos Slavakis, Gaurav N. Shetty, Loris Cannelli, Gesualdo Scutari, Ukash Nakarmi, Leslie Ying

IEEE Trans. Computational Imaging, 2022

2021

Asynchronous Optimization Over Graphs: Linear Convergence Under Error Bound Conditions.

Loris Cannelli, Francisco Facchinei, Gesualdo Scutari, Vyacheslav Kungurtsev

IEEE Trans. Autom. Control., 2021

2020

Asynchronous parallel algorithms for nonconvex optimization.

Loris Cannelli, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari

Math. Program., 2020

Hedging using reinforcement learning: Contextual k-Armed Bandit versus Q-learning.

Loris Cannelli, Giuseppe Nuti, Marzio Sala, Oleg Szehr

CoRR, 2020

2017

Essentially cyclic asynchronous nonconvex large-scale optimization.

Loris Cannelli, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari

Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017

Asynchronous parallel nonconvex large-scale optimization.

Loris Cannelli, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Multi-Agent asynchronous nonconvex large-scale optimization.

Loris Cannelli, Francisco Facchinei, Gesualdo Scutari

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

Asynchronous Parallel Algorithms for Nonconvex Big-Data Optimization: Model and Convergence.

Loris Cannelli, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari

CoRR, 2016

Parallel asynchronous lock-free algorithms for nonconvex big-data optimization.

Loris Cannelli, Gesualdo Scutari, Francisco Facchinei, Vyacheslav Kungurtsev

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016