activity
20202026
most citedThe low-rank hypothesis of complex systems

93 citations · 233 across the 10 of their papers we have counts for

collaborators

10 papers

math.DS2026

Operator-theoretic approach to the partial integration of randomly coupled phase oscillators

Vincent Thibeault, Benjamin Claveau, Antoine Allard +1

In our previous work [arXiv:2504.06248], we adopted Koopman theory to link the existence of different constants of motion to the presence of specific network motifs of Kuramoto osc…

nlin.AO2025

Kuramoto meets Koopman: Constants of motion, symmetries, and network motifs

Vincent Thibeault, Benjamin Claveau, Antoine Allard +1

Conserved quantities in phase-oscillator dynamics are well established for identically coupled oscillators, or groups thereof, but the explicit connectivity conditions under which…

stat.AP2025

On the reconstruction limits of complex networks

Charles Murphy, Ariane Lizotte, François Thibault +3

Network reconstruction consists in retrieving the hidden interaction structure of a system from observations. Many reconstruction algorithms have been proposed, although less resea…

nlin.AO2022★ 93 cited

The low-rank hypothesis of complex systems

Vincent Thibeault, Antoine Allard, Patrick Desrosiers

Complex systems are high-dimensional nonlinear dynamical systems with intricate interactions among their constituents. To make interpretable predictions about their large-scale beh…

math.DS2022★ 2 cited

Dimension reduction of dynamics on modular and heterogeneous directed networks

Marina Vegué, Vincent Thibeault, Patrick Desrosiers +1

Dimension reduction is a common strategy to study non-linear dynamical systems composed by a large number of variables. The goal is to find a smaller version of the system whose ti…

cond-mat.stat-mech2022★ 8 cited

Duality between predictability and reconstructability in complex systems

Charles Murphy, Vincent Thibeault, Antoine Allard +1

Predicting the evolution of a large system of units using its structure of interaction is a fundamental problem in complex system theory. And so is the problem of reconstructing th…

physics.soc-ph2020★ 2 cited

Detecting structural perturbations from time series with deep learning

Edward Laurence, Charles Murphy, Guillaume St-Onge +2

Small disturbances can trigger functional breakdowns in complex systems. A challenging task is to infer the structural cause of a disturbance in a networked system, soon enough to…

nlin.AO2020★ 26 cited

Threefold way to the dimension reduction of dynamics on networks: an application to synchronization

Vincent Thibeault, Guillaume St-Onge, Louis J. Dubé +1

Several complex systems can be modeled as large networks in which the state of the nodes continuously evolves through interactions among neighboring nodes, forming a high-dimension…

physics.soc-ph2020★ 47 cited

Master equation analysis of mesoscopic localization in contagion dynamics on higher-order networks

Guillaume St-Onge, Vincent Thibeault, Antoine Allard +2

Simple models of infectious diseases tend to assume random mixing of individuals, but real interactions are not random pairwise encounters: they occur within various types of gathe…

physics.soc-ph2020★ 55 cited

Social confinement and mesoscopic localization of epidemics on networks

Guillaume St-Onge, Vincent Thibeault, Antoine Allard +2

Recommendations around epidemics tend to focus on individual behaviors, with much less efforts attempting to guide event cancellations and other collective behaviors since most mod…