Francesco Farina
Francesco Farina
AI Fellow, GSK
Email verificata su gsk.com - Home page
Titolo
Citata da
Citata da
Anno
Walking ahead: The headed social force model
F Farina, D Fontanelli, A Garulli, A Giannitrapani, D Prattichizzo
PloS one 12 (1), e0169734, 2017
732017
A distributed asynchronous method of multipliers for constrained nonconvex optimization
F Farina, A Garulli, A Giannitrapani, G Notarstefano
Automatica 103, 243-253, 2019
182019
Upper body pose estimation using wearable inertial sensors and multiplicative kalman filter
TL Baldi, F Farina, A Garulli, A Giannitrapani, D Prattichizzo
IEEE Sensors Journal 20 (1), 492-500, 2019
172019
Disropt: a python framework for distributed optimization
F Farina, A Camisa, A Testa, I Notarnicola, G Notarstefano
IFAC-PapersOnLine 53 (2), 2666-2671, 2020
122020
When Helbing meets Laumond: the headed social force model
F Farina, D Fontanelli, A Garulli, A Giannitrapani, D Prattichizzo
2016 IEEE 55th Conference on Decision and Control (CDC), 3548-3553, 2016
102016
Randomized Block Proximal Methods for Distributed Stochastic Big-Data Optimization
F Farina, G Notarstefano
IEEE Transactions on Automatic Control, 2020
62020
Distributed personalized gradient tracking with convex parametric models
I Notarnicola, A Simonetto, F Farina, G Notarstefano
arXiv preprint arXiv:2008.04363, 2020
42020
Distributed constraint-coupled optimization over random time-varying graphs via primal decomposition and block subgradient approaches
A Camisa, F Farina, I Notarnicola, G Notarstefano
2019 IEEE 58th Conference on Decision and Control (CDC), 6374-6379, 2019
42019
Asynchronous distributed learning from constraints
F Farina, S Melacci, A Garulli, A Giannitrapani
IEEE transactions on neural networks and learning systems 31 (10), 4367-4373, 2019
42019
Minimum switching thruster control for spacecraft precision pointing
M Leomanni, A Garulli, A Giannitrapani, F Farina, F Scortecci
IEEE Transactions on Aerospace and Electronic Systems 53 (2), 683-697, 2017
42017
Distributed Constraint-Coupled Optimization via Primal Decomposition over Random Time-Varying Graphs
A Camisa, F Farina, I Notarnicola, G Notarstefano
Automatica 131 (4), 2021
32021
Distributed online optimization via gradient tracking with adaptive momentum
G Carnevale, F Farina, I Notarnicola, G Notarstefano
arXiv preprint arXiv:2009.01745, 2020
32020
A randomized block subgradient approach to distributed big data optimization
F Farina, G Notarstefano
2019 IEEE 58th Conference on Decision and Control (CDC), 6362-6367, 2019
32019
Distributed interpolatory algorithms for set membership estimation
F Farina, A Garulli, A Giannitrapani
IEEE Transactions on Automatic Control, 2018
32018
Asynchronous Distributed Method of Multipliers for Constrained Nonconvex optimization
F Farina, A Garulli, A Giannitrapani, G Notarstefano
European Control Conference (ECC), 2018 IEEE, 2018
22018
Distributed set membership estimation with time-varying graph topology
F Farina, A Garulli, A Giannitrapani
2019 IEEE 58th Conference on Decision and Control (CDC), 4121-4126, 2019
12019
Intrinsic uncertainties and where to find them
F Farina, L Phillips, NJ Richmond
ICML 2021 workshop on Uncertainty and Robustness in Deep Learning, 2021
2021
Data efficiency in graph networks through equivariance
F Farina, E Slade
ICML 2021 Workshop on Subset Selection in Machine Learning: From Theory to …, 2021
2021
Symmetry-driven graph neural networks
F Farina, E Slade
arXiv preprint arXiv:2105.14058, 2021
2021
Beyond permutation equivariance in graph networks
E Slade, F Farina
arXiv preprint arXiv:2103.14066, 2021
2021
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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