5 citations · 8 across the 4 of their papers we have counts for
4 papers
Neurosymbolic Deep Learning Semantics
Artur d'Avila Garcez, Simon Odense
Artificial Intelligence (AI) is a powerful new language of science as evidenced by recent Nobel Prizes in chemistry and physics that recognized contributions to AI applied to those…
A Semantic Framework for Neuro-Symbolic Computing
Simon Odense, Artur d'Avila Garcez
The field of neuro-symbolic AI aims to benefit from the combination of neural networks and symbolic systems. A cornerstone of the field is the translation or encoding of symbolic k…
Neural-Guided RuntimePrediction of Planners for Improved Motion and Task Planning with Graph Neural Networks
Simon Odense, Kamal Gupta, William G. Macready
The past decade has amply demonstrated the remarkable functionality that can be realized by learning complex input/output relationships. Algorithmically, one of the most important…
Layerwise Knowledge Extraction from Deep Convolutional Networks
Simon Odense, Artur d'Avila Garcez
Knowledge extraction is used to convert neural networks into symbolic descriptions with the objective of producing more comprehensible learning models. The central challenge is to…