DeepLog is a universal PyTorch backend that compiles diverse neurosymbolic languages into arithmetic circuits to integrate logic with deep learning.
arXiv preprint arXiv:2507.11127 , year=
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Binarized neural network neuron threshold tests and last-layer scores can be equivalently expressed as Sugeno integrals on binary inputs, yielding explicit set-function and rule-based representations.
A Prolog skill enables LLMs to structure placement intent into facts and queries while delegating constraint reasoning to symbolic logic for cloud-edge service placement.
citing papers explorer
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DeepLog: A Software Framework for Modular Neurosymbolic AI
DeepLog is a universal PyTorch backend that compiles diverse neurosymbolic languages into arithmetic circuits to integrate logic with deep learning.
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A Sugeno Integral View of Binarized Neural Network Inference
Binarized neural network neuron threshold tests and last-layer scores can be equivalently expressed as Sugeno integrals on binary inputs, yielding explicit set-function and rule-based representations.
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A Neurosymbolic Prolog Skill for LLM-Driven Service Placement
A Prolog skill enables LLMs to structure placement intent into facts and queries while delegating constraint reasoning to symbolic logic for cloud-edge service placement.