activity
20072026
most citedA new model for self-organized dynamics and its flocking behavior

399 citations · 1.1k across the 26 of their papers we have counts for

collaborators

26 papers

cs.LG2026

Diffusion-Based Posterior Sampling: A Feynman-Kac Analysis of Bias and Stability

Matias G. Delgadino, Sebastien Motsch, Advait Parulekar +2

Diffusion-based posterior samplers draw from measurement- or reward-conditioned posteriors using pretrained diffusion priors. Though widely used for inverse problems, their output…

stat.ML2026

EmDT: Embedding Diffusion Transformer for Tabular Data Generation in Fraud Detection

En-Ya Kuo, Sebastien Motsch

Imbalanced datasets pose a difficulty in fraud detection, as classifiers are often biased toward the majority class and perform poorly on rare fraudulent transactions. Synthetic da…

math.PR2026

Wealth exchange under ceiling and flooring constraints: a modified Bennati-Dragulescu-Yakovenko model

Fei Cao, Sebastien Motsch, Wendy Garcia Umbarita

We investigate the classical Bennati-Dragulescu-Yakovenko (BDY) dollar exchange model introduced in \cite{dragulescu_statistical_2000} where the effects of wealth ceiling and wealt…

math.PR2025

Generative diffusion models from a PDE perspective

Fei Cao, Kimball Johnston, Thomas Laurent +2

Diffusion models have become the de facto framework for generating new datasets. The core of these models lies in the ability to reverse a diffusion process in time. The goal of th…

physics.soc-ph2025

Doppelgänger Model: Emergence of polarization in opinion dynamics

Vince Campo, Sebastien Motsch, Dylan Weber

Over the past decade, contrary to the early popular expectation that large-scale discourse in online communities would foster greater consensus, the large-scale structure of online…

math.PR2024★ 1 cited

Sticky dispersion on the complete graph: a kinetic approach

Fei Cao, Sebastien Motsch

We study a variant of the dispersion process on the complete graph introduced in the recent work [17] under the mean-field framework. We adopt a kinetic perspective (as opposed to…

math.PR2022

Uncovering a two-phase dynamics from a dollar exchange model with bank and debt

Fei Cao, Sébastien Motsch

We investigate the unbiased model for money exchanges with collective debt limit: agents give at random time a dollar to one another as long as they have at least one dollar or the…

math.PR2021★ 1 cited

Derivation of wealth distributions from biased exchange of money

Fei Cao, Sebastien Motsch

In the manuscript, we are interested in using kinetic theory to better understand the time evolution of wealth distribution and their large scale behavior such as the evolution of…

math.PR2021★ 2 cited

Entropy dissipation and propagation of chaos for the uniform reshuffling model

Fei Cao, Pierre-Emmanuel Jabin, Sebastien Motsch

We investigate the uniform reshuffling model for money exchanges: two agents picked uniformly at random redistribute their dollars between them. This stochastic dynamics is of mean…

eess.SY2020

Bounded confidence dynamics and graph control: enforcing consensus

Dylan Weber, Sebastien Motsch, GuanLin Li

A generic feature of bounded confidence type models is the formation of clusters of agents. We propose and study a variant of bounded confidence dynamics with the goal of inducing…

math.DS2019

Stochastic versus deterministic consensus dynamics on graphs

Dylan Weber, Ryan Theisen, Sebastien Motsch

We study two agent based models of opinion formation - one stochastic in nature and one deterministic. Both models are defined in terms of an underlying graph; we study how the str…

math.NA2019

Kinetic equations and self-organized band formations

Quentin Griette, Sebastien Motsch

Self-organization is an ubiquitous phenomenon in nature which can be observed in a variety of different contexts and scales, with examples ranging from fish schools, swarms of bird…

cs.CV2018

Lesion segmentation using U-Net network

Adrien Motsch, Sebastien Motsch, Thibaut Saguet

This paper explains the method used in the segmentation challenge (Task 1) in the International Skin Imaging Collaboration's (ISIC) Skin Lesion Analysis Towards Melanoma Detection…

cond-mat.soft2017

From short-range repulsion to Hele-Shaw problem in a model of tumor growth

Sebastien Motsch, Diane Peurichard

We investigate the large time behavior of an agent based model describing tumor growth. The microscopic model combines short-range repulsion and cell division. As the number of cel…

math.NA2016★ 11 cited

Damped Arrow-Hurwicz algorithm for sphere packing

Pierre Degond, Marina A. Ferreira, Sébastien Motsch

We consider algorithms that, from an arbitrarily sampling of spheres (possibly overlapping), find a close packed configuration without overlapping. These problems can be formul…

math-ph2013

Macroscopic models of collective motion and self-organization

Pierre Degond, Amic Frouvelle, Jian-Guo Liu +2

In this paper, we review recent developments on the derivation and properties of macroscopic models of collective motion and self-organization. The starting point is a model of sel…

nlin.AO2013★ 8 cited

Heterophilious dynamics enhances consensus

Sebastien Motsch, Eitan Tadmor

We review a general class of models for self-organized dynamics based on alignment. The dynamics of such systems is governed solely by interactions among individuals or "agents," w…

q-bio.QM2011★ 36 cited

Trail formation based on directed pheromone deposition

Emmanuel Boissard, Pierre Degond, Sébastien Motsch

We propose an Individual-Based Model of ant-trail formation. The ants are modeled as self-propelled particles which deposit directed pheromones and interact with them through align…

physics.flu-dyn2011★ 80 cited

Hydrodynamic models of self-organized dynamics: derivation and existence theory

Pierre Degond, Jian-Guo Liu, Sébastien Motsch +1

This paper is concerned with the derivation and analysis of hydrodynamic models for systems of self-propelled particles subject to alignment interaction and attraction-repulsion. T…

math-ph2011★ 49 cited

Two-way multi-lane traffic model for pedestrians in corridors

Cécile Appert-Rolland, Pierre Degond, Sébastien Motsch

We extend the Aw-Rascle macroscopic model of car traffic into a two-way multi-lane model of pedestrian traffic. Within this model, we propose a technique for the handling of the co…

math.AP2011★ 399 cited

A new model for self-organized dynamics and its flocking behavior

Sebastien Motsch, Eitan Tadmor

We introduce a model for self-organized dynamics which, we argue, addresses several drawbacks of the celebrated Cucker-Smale (C-S) model. The proposed model does not only take into…

math.AP2010★ 28 cited

A macroscopic model for a system of swarming agents using curvature control

Pierre Degond, Sébastien Motsch

In this paper, we study the macroscopic limit of a new model of collective displacement. The model, called PTWA, is a combination of the Vicsek alignment model and the Persistent T…

math.AP2009★ 12 cited

Numerical simulations of a non-conservative hyperbolic system with geometric constraints describing swarming behavior

Sebastien Motsch, Laurent Navoret

The Vicsek model is a very popular individual based model which describes collective behavior among animal societies. A macroscopic version of the Vicsek model has been derived fro…

math.AP2008★ 6 cited

Asymptotic analysis and diffusion limit of the Persistent Turning Walker Model

Patrick Cattiaux, Djalil Chafai, Sébastien Motsch

The Persistent Turning Walker Model (PTWM) was introduced by Gautrais et al in Mathematical Biology for the modelling of fish motion. It involves a nonlinear pathwise functional of…