NeSy 2017
Neural-Symbolic Learning and Reasoning 2017

Table of Contents

Long Papers

• Towards Grounding Conceptual Spaces in Neural Representations
  Lucas Bechberger , Kai-Uwe Kuehnberger
• Propositional Rule Extraction from Neural Networks under Background Knowledge
  Maryam Labaf , Pascal Hitzler , Anthony B. Evans
• Classical Planning in Deep Latent Space: From Unlabeled Images to PDDL (and back)
  Masataro Asai , Alex Fukunaga
• Explaining Trained Neural Networks with Semantic Web Technologies: First Steps
  Md Kamruzzaman Sarker , Ning Xie , Derek Doran , Michael Raymer , Pascal Hitzler
• Inductive Learning in Shared Neural Multi-Spaces
  Edjard de Souza Mota , Jacob M. Howe , Artur S. d'Avila Garcez

Short Papers

• A Comparison between Deep Q-Networks and Deep Symbolic Reinforcement Learning
  Aimore R. R. Dutra , Artur S. d'Avila Garcez
• Confidence Values and Compact Rule Extraction From Probabilistic Neural Networks
  Simon Odense , Artur S. d'Avila Garcez
• Learning with Knowledge Graphs
  Volker Tresp , Yunpu Ma , Stephan Baier
• Learning about Actions and Events in Shared NeMuS
  Milena Rodrigues Tenorio , Edjard de Souza Mota , Jacob M. Howe , Artur S. d'Avila Garcez
• Category-based Inductive Learning in Shared NeMuS
  Ana Carolina Melik Schramm , Edjard de Souza Mota , Jacob M. Howe , Artur S. d'Avila Garcez
• Q-SATyrus: Mapping Neuro-symbolic Reasoning into an Adiabatic Quantum Computer
  Priscila M. V. Lima