Author

Ingo Scholtes

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#computer vision Preprint Aug 2026

Do Vision-Language Models Agree on the Affective Qualities of Shape? A Cross-Model Audit for Generative Design Interfaces

Generative design interfaces increasingly expose semantic controls that let users steer output with concepts such as"more elegant"or"more minimalist,"typically encoded by a vision-language model (VLM). A practical question is whether state-of-the-art VLMs represent objects consistently in terms of the same concept. We...

Luca Bux, Thiago Rios, Ingo Scholtes et al. · 0 citations

Structure-Aware Graph Contrastive Learning via Degree-Preserving Rewiring

This work proposes a principled augmentation strategy based on degree-preserving edge rewiring, inspired by the configuration model, that generates alternative graph views that maintain node degrees while randomizing the graph topology.

Emely Weigel, Jan von Pichowski, Ingo Scholtes · 0 citations

Preprint Jul 2026

Single-Snapshot Inference of Network Couplings from Universal Dynamics at Relative Equilibrium

Many real-world systems can be modelled as complex networks whose collective behaviour is governed by hidden interactions between nodes. Existing methods for inferring these interactions typically require controlled perturbations, time-resolved observations or multiple independent snapshots, all of which are often unav...

Moritz Lampert, D. Grün, Ingo Scholtes · 0 citations

#graph neural networks Preprint Aug 2026

Can Graph Learning Learn Circuits?

Graph Circuit Learning is introduced, a supervised, amortized framework that trains a GNN across multiple model--task pairs and applies it to unseen cases and preliminary results suggest that graph machine learning offers a natural and potentially powerful perspective on circuit localization.

Chester Tan, Moritz Lampert, Courtney Maynard et al. · 0 citations