7 citations · 18 across the 28 of their papers we have counts for
3 papers · 1 filter
Bayesian Network Structure Discovery Using Large Language Models
Yinghuan Zhang, Yufei Zhang, Parisa Kordjamshidi +1
Understanding probabilistic dependencies among variables is central to analyzing complex systems. Traditional structure learning methods often require extensive observational data…
GLUECons: A Generic Benchmark for Learning Under Constraints
Hossein Rajaby Faghihi, Aliakbar Nafar, Chen Zheng +7
Recent research has shown that integrating domain knowledge into deep learning architectures is effective -- it helps reduce the amount of required data, improves the accuracy of t…
DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning
Hossein Rajaby Faghihi, Quan Guo, Andrzej Uszok +3
We demonstrate a library for the integration of domain knowledge in deep learning architectures. Using this library, the structure of the data is expressed symbolically via graph d…