collaborators

10 papers

math.NA2026

Multi-fidelity methods for kinetic models of epidemic dynamics with uncertain contact structure

Liu Liu, Andrea Medaglia, Hao Xie +1

In this work, we develop a multi-fidelity strategy for kinetic models in epidemiology with uncertain contact dynamics. Assessing and controlling the population-level effects of con…

math.OC2026

Superlinear drift in consensus-based optimization with condensation phenomena

Jonathan Franceschi, Lorenzo Pareschi, Mattia Zanella

Consensus-based optimization (CBO) is a class of metaheuristic algorithms designed for global optimization problems. In the many-particle limit, classical CBO dynamics can be rigor…

cs.CV2026

A Multiscale Kinetic Framework for Image Segmentation: From Particle Systems to Continuum Models

Horacio Tettamanti, Giulia Guicciardi, Mattia Zanella

In this work, we present a multiscale kinetic framework for consensus-based image segmentation. By interpreting an image as a system of interacting particles, each pixel is charact…

math.AP2026

Supercritical Mass and Condensation in Fokker--Planck Equations for Consensus Formation

Monica Caloi, Mattia Zanella

Inspired by recently developed Fokker--Planck models for Bose--Einstein statistics, we study a consensus formation model with condensation effects driven by a polynomial diffusion…

math.OC2026

Kinetic simulated annealing optimization with entropy-based cooling rate

Michael Herty, Mattia Zanella

We present a modified simulated annealing method with a dynamical choice of the cooling temperature. The latter is determined via a closed-loop control and is proven to yield expon…

math.AP2025

Kinetic and mean-field modeling of muscular dystrophies

Tommaso Lorenzi, Horacio Tettamanti, Mattia Zanella

We present a new class of models for assessing the cell dynamics characterising muscular dystrophies. The proposed approach comprises a system of integro-differential equations for…