8 papers
Consensus-based optimization with -stable jump processes
Pedro Aceves-Sanchez, Giacomo Albi, Federica Ferrarese +1
In this paper, we introduce a novel variant of the CBO method that incorporates jumps according to an -stable stochastic process in a kinetic framework. This extension gives ri…
Control strategies for magnetized plasma: a polar coordinates framework
Federica Ferrarese
In this work, we provide an overview of various control strategies aimed at steering plasma toward desired configurations using an external magnetic field. From a modeling perspect…
Augmented data and neural networks for robust epidemic forecasting: application to COVID-19 in Italy
Giacomo Dimarco, Federica Ferrarese, Lorenzo Pareschi
In this work, we propose a data augmentation strategy aimed at improving the training phase of neural networks and, consequently, the accuracy of their predictions. Our approach re…
Robust feedback control of collisional plasma dynamics in presence of uncertainties
Giacomo Albi, Giacomo Dimarco, Federica Ferrarese +1
Magnetic fusion aims to confine high-temperature plasma within a device, enabling the fusion of deuterium and tritium nuclei to release energy. Due to the very large temperatures i…
A data augmentation strategy for deep neural networks with application to epidemic modelling
Muhammad Awais, Abu Safyan Ali, Giacomo Dimarco +2
In this work, we integrate the predictive capabilities of compartmental disease dynamics models with machine learning ability to analyze complex, high-dimensional data and uncover…
Localized KBO with genetic dynamics for multi-modal optimization
Federica Ferrarese, Claudia Totzeck
In this paper, we introduce a novel approach to multi-modal optimization by enhancing the recently developed kinetic-based optimization (KBO) method with genetic dynamics (GKBO). T…