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07/13/2023
IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation
Knowledge Graph Embedding (KGE) models are used to learn continuous repr...
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12/23/2022
A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
We study the problem of combining neural networks with symbolic reasonin...
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08/23/2022
Prompting as Probing: Using Language Models for Knowledge Base Construction
Language Models (LMs) have proven to be useful in various downstream app...
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06/10/2022
Refining neural network predictions using background knowledge
Recent work has shown logical background knowledge can be used in learni...
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04/01/2021
Storchastic: A Framework for General Stochastic Automatic Differentiation
Modelers use automatic differentiation of computation graphs to implemen...
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06/04/2020
Analyzing Differentiable Fuzzy Implications
Combining symbolic and neural approaches has gained considerable attenti...
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02/14/2020
Analyzing Differentiable Fuzzy Logic Operators
In recent years there has been a push to integrate symbolic AI and deep ...
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08/13/2019