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math.PR2026

A simple proof of rapid mixing on random regular graphs beyond uniqueness

Andreas Göbel, Matthew Jenssen, Marcus Michelen +3

A recent breakthrough of Chen, Chen, Chen, Yin, and Zhang shows rapid mixing for Glauber dynamics for the hard-core model on random regular graphs beyond the tree uniqueness thresh…

math.PR2026

Information-Theoretic Thresholds for Bipartite Latent-Space Graphs under Noisy Observations

Andreas Göbel, Marcus Pappik, Leon Schiller

We study information-theoretic phase transitions for the detectability of latent geometry in bipartite random geometric graphs RGGs with Gaussian d-dimensional latent vectors while…

math.PR2025

Polymer Dynamics via Cliques: New Conditions for Approximations

Tobias Friedrich, Andreas Göbel, Martin S. Krejca +1

Abstract polymer models are systems of weighted objects, called polymers, equipped with an incompatibility relation. An important quantity associated with such models is the partit…

math.PR2025

Gradually Declining Immunity Retains the Exponential Duration of Immunity-Free Diffusion

Andreas Göbel, Nicolas Klodt, Martin S. Krejca +1

Diffusion processes pervade numerous areas of AI, abstractly modeling the dynamics of exchanging, oftentimes volatile, information in networks. A central question is how long the i…

math.PR2024

From Market Saturation to Social Reinforcement: Understanding the Impact of Non-Linearity in Information Diffusion Models

Tobias Friedrich, Andreas Göbel, Nicolas Klodt +2

Diffusion of information in networks is at the core of many problems in AI. Common examples include the spread of ideas and rumors as well as marketing campaigns. Typically, inform…