3 papers
cs.AI2026
Answer Set Programming Energised! End-to-End Neurosymbolic Reasoning and Learning with ASP and Energy Based Models
Jakob Suchan, Julius Monsen, Salim Baloch +1
We present a general neurosymbolic reasoning and learning methodology based on a modular integration of answer set programming with an energy based model substrate. Key contributio…
cs.AI2026
Reasonable Motion: A General ASP Foundation for Environment Constrained Movement Trajectory Computation
Julius Monsen, Jakob Suchan, Mehul Bhatt +1
We present a general answer set programming based hybrid quantitative-qualitative method for computing constrained branching trajectory modes for moving objects in real-world setti…
cs.CV2026
Visual Commonsense Driven Knowledge Refinements for Scene Graph Generation
Maëlic Neau, Salim Baloch, Jakob Suchan +2
Learning-driven Scene Graph Generation (SGG) models excel on frequent relation types but degrade sharply under annotation sparsity, failing to capture reliable visual commonsense k…