1 citations · 2 across the 7 of their papers we have counts for
10 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 ris…
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…
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…
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…