activity
20182021
most citedThe Gene Mover's Distance: Single-cell similarity via Optimal Transport

8 citations · 10 across the 2 of their papers we have counts for

collaborators

7 papers

q-bio.GN20218 cited

The Gene Mover's Distance: Single-cell similarity via Optimal Transport

Riccardo Bellazzi, Andrea Codegoni, Stefano Gualandi +2

This paper introduces the Gene Mover's Distance, a measure of similarity between a pair of cells based on their gene expression profiles obtained via single-cell RNA sequencing. Th…

math.OC20202 cited

The Equivalence of Fourier-based and Wasserstein Metrics on Imaging Problems

Gennaro Auricchio, Andrea Codegoni, Stefano Gualandi +2

We investigate properties of some extensions of a class of Fourier-based probability metrics, originally introduced to study convergence to equilibrium for the solution to the spat…

physics.soc-ph2018

Human Behavior And Lognormal Distribution. A Kinetic Description

Stefano Gualandi, Giuseppe Toscani

In recent years it has been increasing evidence that lognormal distributions are widespread in physical and biological sciences, as well as in various phenomena of economics and so…

physics.soc-ph2018

The size distribution of cities: a kinetic explanation

Stefano Gualandi, Giuseppe Toscani

We present a kinetic approach to the formation of urban agglomerations which is based on simple rules of immigration and emigration. In most cases, the Boltzmann-type kinetic descr…

math.OC2018

Computing Kantorovich-Wasserstein Distances on -dimensional histograms using -partite graphs

Gennaro Auricchio, Federico Bassetti, Stefano Gualandi +1

This paper presents a novel method to compute the exact Kantorovich-Wasserstein distance between a pair of -dimensional histograms having bins each. We prove that this probl…

math.OC2018

On the Computation of Kantorovich-Wasserstein Distances between 2D-Histograms by Uncapacitated Minimum Cost Flows

Federico Bassetti, Stefano Gualandi, Marco Veneroni

In this work, we present a method to compute the Kantorovich-Wasserstein distance of order one between a pair of two-dimensional histograms. Recent works in Computer Vision and Mac…