collaborators

5 papers

math.NA2026

A PDE-Based Framework for Generative Modeling Beyond Classical Score-Based Diffusion

Horacio Tettamanti, Michael Herty

We introduce an alternative generative framework based on a nonlinear modification of the classical Ornstein--Uhlenbeck dynamics. The proposed dynamics admits both a microscopic de…

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…

physics.soc-ph2026

Kinetic SIS opinion-driven models with asymmetric awareness feedback: macroscopic limit and polarization

Juan Pablo Pinasco, Nicolas Saintier, Horacio Tettamanti +1

We study a kinetic multi-agent framework coupling opinion dynamics with epidemic spreading, where individual social behaviour both affects and is affected by disease transmission.…

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…

eess.IV2025

Understanding the Impact of Evaluation Metrics in Kinetic Models for Consensus-based Segmentation

Raffaella Fiamma Cabini, Horacio Tettamanti, Mattia Zanella

In this article we extend a recently introduced kinetic model for consensus-based segmentation of images. In particular, we will interpret the set of pixels of a 2D image as an int…