4 papers
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…
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…
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…
A Community-driven vision for a new Knowledge Resource for AI
Vinay K Chaudhri, Chaitan Baru, Brandon Bennett +29
The long-standing goal of creating a comprehensive, multi-purpose knowledge resource, reminiscent of the 1984 Cyc project, still persists in AI. Despite the success of knowledge re…