Antoine Allard

Associate professor

Laval University

Canada

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Antoine Allard is an Associate Professor at Université Laval in Canada. His research areas encompass random graphs, network embedding in hyperbolic space, and pandemic monitoring through wastewater surveillance networks. Additionally, he explores concepts related to network compression, predictability in complex systems, and clustering in directed networks.

Articles (20)

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2025

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2022

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2021

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2021

Collaborators (15)

Jakob Stokholm

Københavns Universitet

DENMARK

Antoine Allard

Research Interests

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About

Articles (20)

Symmetry-driven embedding of networks in hyperbolic space

Pandemic monitoring with global aircraft-based wastewater surveillance networks

Random graphs with specific degree distribution and giant component size

Geometric description of clustering in directed networks

Nonlinear bias toward complex contagion in uncertain transmission settings

Escherichia coli CRISPR arrays from early life fecal samples preferentially target prophages

Network compression with configuration models and the minimum description length

Duality between predictability and reconstructability in complex systems

NBS-SNI, an extension of the network-based statistic: Abnormal functional connections between important structural actors

The low-rank hypothesis of complex systems

Exact and rapid linear clustering of networks with dynamic programming

Dimension matters when modeling network communities in hyperbolic spaces

Dimension reduction of dynamics on modular and heterogeneous directed networks

Hierarchical team structure and multidimensional localization (or siloing) on networks

The Role of Directionality, Heterogeneity, and Correlations in Epidemic Risk and Spread

Long-term effect of forest harvesting on boreal species assemblages under climate change

Influential groups for seeding and sustaining nonlinear contagion in heterogeneous hypergraphs

Predicting the diversity of early epidemic spread on networks

Universal Nonlinear Infection Kernel from Heterogeneous Exposure on Higher-Order Networks

Deep learning of contagion dynamics on complex networks

Collaborators (15)

Jakob Stokholm

Iacopo Iacopini

Alain Barrat

Guillaume St-Onge

Alice Patania

Alessandro Vespignani

M. Ángeles Serrano

Laurent Hébert-Dufresne

Patrick Desrosiers

Ling Deng

Hanlin Sun

Giovanni Petri

Marian Boguna

Charles Murphy

Jean-Gabriel Young

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