Robust feedback control of collisional plasma dynamics in presence of uncertainties

Augmented data and neural networks for robust epidemic forecasting: Application to COVID-19 in Italy

A data augmentation strategy for deep neural networks with application to epidemic modelling

Emerging properties of the degree distribution in large non-growing networks

KINETIC DESCRIPTION AND CONVERGENCE ANALYSIS OF GENETIC ALGORITHMS FOR GLOBAL OPTIMIZATION

CONSERVATIVE POLYNOMIAL APPROXIMATIONS AND APPLICATIONS TO FOKKER-PLANCK EQUATIONS

Instantaneous control strategies for magnetically confined fusion plasma

New trends on the systems approach to modeling SARS-CoV-2 pandemics in a globally connected planet

Micro-Macro Stochastic Galerkin Methods for Nonlinear Fokker–Planck Equations with Random Inputs

Particle simulation methods for the Landau-Fokker-Planck equation with uncertain data

Reduced variance random batch methods for nonlocal {PDE}s

Optimization by linear kinetic equations and mean-field Langevin dynamics

A fourth-order accurate finite volume scheme for resistive relativistic MHD

Gradient-Based Monte Carlo Methods for Relaxation Approximations of Hyperbolic Conservation Laws

Modelling contagious viral dynamics: a kinetic approach based on mutual utility

An adaptive consensus based method for multi-objective optimization with uniform {P}areto front approximation

Consensus based optimization with memory effects: random selection and applications

Constrained consensus-based optimization

Locally structure-preserving div-curl operators for high order discontinuous Galerkin schemes

Global high-order numerical schemes for the time evolution of the general relativistic radiation magneto-hydrodynamics equations