Abstract is missing.
- Neural Variational Inference For Estimating Knowledge Graph Embedding UncertaintyAlexander I. Cowen-Rivers, Pasquale Minervini, Sebastian Riedel 0001, Tim Rocktäschel, Jun Wang 0012, Matko Bosnjak.
- Tensor Product Representations of Subregular Formal LanguagesJonathan Rawski.
- One-shot Information Extraction from Document Images using Neuro-Deductive Program SynthesisVishal Sunder, Ashwin Srinivasan 0001, Lovekesh Vig, Gautam Shroff, Rohit Rahul.
- Local ABox Consistency Prediction with Transparent TBoxes Using Gated Graph Neural NetworksYu Gu, Jeff Z. Pan, Gong Cheng 0001, Heiko Paulheim, Giorgos Stoilos.
- Towards Explainable Neural-Symbolic Visual ReasoningAdrien Bennetot, Jean Luc Laurent, Raja Chatila 0001, Natalia Díaz Rodríguez.
- T-PRISM: A tensorized logic programming language for data modellingRyosuke Kojima, Taisuke Sato.
- Deep Semantics for Explainable Visuospatial Intelligence: Perspectives on Integrating Commonsense Spatial Abstractions and Low-Level Neural FeaturesMehul Bhatt, Jakob Suchan, Srikrishna Varadarajan.
- Self-Organized Inductive Reasoning with NeMuSLeonardo Augusto Picanço Barreto, Edjard Mota.
- Injecting Prior Knowledge for Transfer Learning into Reinforcement Learning Algorithms using Logic Tensor NetworksSamy Badreddine, Michael Spranger.
- Revisiting Neural-Symbolic Learning CycleMartin Svatos, Gustav Sourek, Filip Zelezný.
- Scaling up relational templated neural modelsGustav Sourek, Filip Zelezný, Ondrej Kuzelka.
- Using neural models to perform inferenceFelipe Salvatore, Sandro Preto, Marcelo Finger, Roberto Hirata Jr..
- Efficient Predicate Invention using Shared NeMuSEdjard Mota, Jacob M. Howe, Ana Schramm, Artur S. d'Avila Garcez.
- Effective Integration of Symbolic and Connectionist Approaches through a Hybrid RepresentationMárcio Ferreira Moreno, Daniel Civitarese, Rafael Brandão 0001, Renato Cerqueira.
- Neuro-Symbolic = Neural + Logical + ProbabilisticLuc De Raedt, Robin Manhaeve, Sebastijan Dumancic, Thomas Demeester, Angelika Kimmig.