DeepLog: A Software Framework for Modular Neurosymbolic AI
Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence. Demo Track. Pages 8462-8465.
https://doi.org/10.24963/ijcai.2026/980
Keywords
- AI: Uncertainty in AI
- AI: Machine Learning
- AI: Knowledge Representation and Reasoning
Abstract
DeepLog is an operational neurosymbolic framework that unifies logic and deep learning within standard PyTorch workflows. While existing neurosymbolic systems focus on a particular paradigm and semantics, DeepLog serves as a universal backend that can emulate many systems in the neurosymbolic alphabet soup. By treating diverse neurosymbolic languages as high-level specifications, the DeepLog software automatically compiles them into optimized arithmetic circuits. This design lowers the barrier for machine learning practitioners by treating logic as composable modules, while providing neurosymbolic developers with a shared, high-performance basis for prototyping new integration strategies. The code is available here: https://github.com/ML-KULeuven/deeplog
@inproceedings{ijcai2026p980,
title = {DeepLog: A Software Framework for Modular Neurosymbolic AI},
author = {Manhaeve, Robin and Colamonaco, Stefano and Derkinderen, Vincent and Adriaensen, Rik and Van Praet, Lucas and de Raedt, Luc and Marra, Giuseppe},
booktitle = {Proceedings of the Thirty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-26}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Diego Calvanese},
pages = {8462--8465},
year = {2026},
month = {8},
note = {Demo Track},
doi = {10.24963/ijcai.2026/980},
url = {https://doi.org/10.24963/ijcai.2026/980},
}
TY - CPAPER TI - DeepLog: A Software Framework for Modular Neurosymbolic AI AU - Manhaeve, Robin AU - Colamonaco, Stefano AU - Derkinderen, Vincent AU - Adriaensen, Rik AU - Van Praet, Lucas AU - de Raedt, Luc AU - Marra, Giuseppe T2 - Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2026 SP - 8462 EP - 8465 DO - 10.24963/ijcai.2026/980 UR - https://doi.org/10.24963/ijcai.2026/980 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: