Frank Hellmann — accepted AI-conference papers

2026

Predicting Dynamic Stability Landscapes in Synchronization Networks

Christian Nauck, Junyou Zhu, Michael Lindner, Frank Hellmann

ICML 2026poster

The robustness of synchronization is a central theme of the study of dynamical systems on networks. Typically one attempts to define a single stability index that characterizes the robustness of individual nodes to a class of perturbations. The dependence of a stability index on topology and system …

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2025

SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning

Junyou Zhu, Langzhou He, Chao Gao, Dongpeng Hou, Zhen Su, Philip S. Yu +2

ICML 2025poster

Diffusion probabilistic models (DPMs) have recently demonstrated impressive generative capabilities. There is emerging evidence that their sample reconstruction ability can yield meaningful representations for recognition tasks. In this paper, we demonstrate that the objectives underlying generation…

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