Inferring interaction rules from observations of evolutive systems I: The variational approach

Consistency of Probability Measure Quantization by Means of Power Repulsion–Attraction Potentials

(2015) Massimo Fornasier et al.   JOURNAL OF FOURIER ANALYSIS AND APPLICATIONS

Mean-Field Optimal Control

(2014) Massimo Fornasier et al.   ESAIM-CONTROL OPTIMISATION AND CALCULUS OF VARIATIONS

Constructive quantization: Approximation by empirical measures

(2013) Steffen Dereich et al.   ANNALES DE L INSTITUT HENRI POINCARE-PROBABILITES ET STATISTIQUES

Particle Systems and Kinetic Equations Modeling Interacting Agents in High Dimension

(2011) M. Fornasier et al.   MULTISCALE MODELING & SIMULATION

Bayesian Inference for Identifying Interaction Rules in Moving Animal Groups

(2011) Richard P. Mann   PLoS One

Inferring the rules of interaction of shoaling fish

(2011) J. E. Herbert-Read et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Self-organized aerial displays of thousands of starlings: a model

(2010) H. Hildenbrandt et al.   BEHAVIORAL ECOLOGY

A WELL-POSEDNESS THEORY IN MEASURES FOR SOME KINETIC MODELS OF COLLECTIVE MOTION

(2010) J. A. CAÑIZO et al.   MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES

Empirical investigation of starling flocks: a benchmark study in collective animal behaviour

(2008) Michele Ballerini et al.   ANIMAL BEHAVIOUR

New statistical tools for analyzing the structure of animal groups

(2008) Andrea Cavagna et al.   MATHEMATICAL BIOSCIENCES

Interaction ruling animal collective behavior depends on topological rather than metric distance: Evidence from a field study

(2008) M. Ballerini et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA