3 citations · 14 across the 15 of their papers we have counts for
6 papers · 1 filter
Anticipatory Commonsense with Moving Objects: An ASP-Based Framework for Predictive Reasoning with Interacting Trajectories
Julius Monsen, Jakob Suchan, Mehul Bhatt
We present a general declarative framework for anticipatory reasoning about interactive motion in complex dynamic environments. Our focus is on (explainable) anticipatory space-tim…
A Cognitively Motivated Multidimensional Framework for Evaluating Metaphor Explanations
Ana Naveriani, Jakob Suchan, Stefano Zoia +3
Current evaluation of metaphor explanations relies mainly on holistic quality ratings, revealing little about how explanation quality is structured or where human judgments agree a…
A Human-Factors Guided Cognitive Model of Visuospatial Complexity in Embodied Active Vision
Vasiliki Kondyli, Jakob Suchan, Mehul Bhatt
We propose a novel framework for the analysis of multimodal data -- encompassing visual, auditory, and spatial stimuli -- foregrounding the role of complexity in embodied perceptio…
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…