Alexis Arnaudon

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Related publications (17)

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Sensitivity and spectral control of network lasers

Alexis Arnaudon, Dinika Saxena

Recently, random lasing in complex networks has shown efficient lasing over more than 50 localised modes, promoted by multiple scattering over the underlying graph. If controlled, these network lasers can lead to fast-switching multifunctional light source ...

Nature Portfolio2022

Connecting Hodge and Sakaguchi-Kuramoto through a mathematical framework for coupled oscillators on simplicial complexes

Alexis Arnaudon

Phase synchronizations in models of coupled oscillators such as the Kuramoto model have been widely studied with pairwise couplings on arbitrary topologies, showing many unexpected dynamical behaviors. Here, based on a recent formulation the Kuramoto model ...

NATURE PORTFOLIO2022

HCGA: Highly comparative graph analysis for network phenotyping

Alexis Arnaudon, Nathan Rafaël Bernier

Networks are widely used as mathematical models of complex systems across many scientific disciplines. Decades of work have produced a vast corpus of research characterizing the topological, combinatorial, statistical, and spectral properties of graphs. Ea ...

ELSEVIER2021

Unfolding the multiscale structure of networks with dynamical Ollivier-Ricci curvature

Adám Gosztolai, Alexis Arnaudon

Describing networks geometrically through low-dimensional latent metric spaces has helped design efficient learning algorithms, unveil network symmetries and study dynamical network processes. However, latent space embeddings are limited to specific classe ...

Nature Portfolio2021

Digital Reconstruction of the Neuro-Glia-Vascular Architecture

Henry Markram, Kathryn Hess Bellwald, Lida Kanari, Felix Schürmann, Daniel Keller, Marwan Muhammad Ahmed Abdellah, Alexis Arnaudon, Corrado Cali, Michael Emiel Gevaert, Thomas Brice Delemontex

Astrocytes connect the vasculature to neurons mediating the supply of nutrients and biochemicals. They are involved in a growing number of physiological and pathophysiological processes that result from biophysical, physiological, and molecular interaction ...

OXFORD UNIV PRESS INC2021

Scale-dependent measure of network centrality from diffusion dynamics

Alexis Arnaudon

Classic measures of graph centrality capture distinct aspects of node importance, from the local (e.g., degree) to the global (e.g., closeness). Here we exploit the connection between diffusion and geometry to introduce a multiscale centrality measure. A n ...

AMER PHYSICAL SOC2020

Computational issues in chemo-dynamical modelling of the formation and evolution of galaxies

Pascale Jablonka, Yves Revaz, Vivien François Bonvin, Alexis Arnaudon, Matthew Luke Nichols

Chemo-dynamical N-body simulations are an essential tool for understanding the formation and evolution of galaxies. As the number of observationally determined stellar abundances continues to climb, these simulations are able to provide new constraints on ...

EDP Sciences2016

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