2 citations · 4 across the 3 of their papers we have counts for
4 papers · 1 filter
On the Capabilities of Pointer Networks for Deep Deductive Reasoning
Monireh Ebrahimi, Aaron Eberhart, Pascal Hitzler
The importance of building neural networks that can learn to reason has been well recognized in the neuro-symbolic community. In this paper, we apply neural pointer networks for co…
Neuro-Symbolic Artificial Intelligence: Current Trends
Md Kamruzzaman Sarker, Lu Zhou, Aaron Eberhart +1
Neuro-Symbolic Artificial Intelligence -- the combination of symbolic methods with methods that are based on artificial neural networks -- has a long-standing history. In this arti…
Towards a Modular Ontology for Space Weather Research
Cogan Shimizu, Ryan McGranaghan, Aaron Eberhart +1
The interactions between the Sun, interplanetary space, near Earth space environment, the Earth's surface, and the power grid are, perhaps unsurprisingly, very complicated. The stu…
Completion Reasoning Emulation for the Description Logic EL+
Aaron Eberhart, Monireh Ebrahimi, Lu Zhou +2
We present a new approach to integrating deep learning with knowledge-based systems that we believe shows promise. Our approach seeks to emulate reasoning structure, which can be i…