Author

Gesina Schwalbe

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Conference Open access Sep 2026

Injecting Qualitative Spatial Reasoning into World Models via Logic Tensor Networks

World models (WM) learn predictive representations from high-dimensional sensory input. However, their internal knowledge is implicit and often inadequate for systematic reasoning about object structure. Qualitative Spatial Reasoning (QSR) models provide explicit human-readable object descriptions under transformations...

Ajay Ramachandra, Gesina Schwalbe, Zoe Falomir · Proceedings of the Thirty-Fi... · 0 citations

Preprint Aug 2026

Weakly supervised concept Bottleneck Learning for Robust Two stage Object centric visual reasoning

This work introduces the Dynamic Orthogonal Concept Bottleneck (D-OCB), an object-centric slot- VAE framework designed to extract human-aligned symbolic predicates under extremely weak supervision and achieves high concept alignment and downstream visual reasoning accuracy using minimal label budgets, matching or outpe...

Sparsh Tiwari, Gesina Schwalbe, Bettina Finzel · 0 citations