3 papers
nlin.AO2026
Emergent Macro-Criticality from Micro-Critical Agents
Nicolas Bessone, Erwan Plantec
Criticality has been proposed as a key principle underlying complex behavior in biological and artificial systems; however, how criticality translates from individual dynamics to c…
nlin.AO2026
Solving Inverse Problems in Stochastic Self-Organizing Systems through Invariant Representations
Elias Najarro, Nicolas Bessone, Sebastian Risi
Self-organizing systems demonstrate how simple local rules can generate complex stochastic patterns. Many natural systems rely on such dynamics, making self-organization central to…
cs.LG2025
Spectral Theory for Edge Pruning in Asynchronous Recurrent Graph Neural Networks
Nicolas Bessone
Graph Neural Networks (GNNs) have emerged as a powerful tool for learning on graph-structured data, finding applications in numerous domains including social network analysis and m…