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cs.LG2024
A Mathematical Framework and a Suite of Learning Techniques for Neural-Symbolic Systems
Charles Dickens, Connor Pryor, Changyu Gao +5
The field of Neural-Symbolic (NeSy) systems is growing rapidly. Proposed approaches show great promise in achieving symbiotic unions of neural and symbolic methods. However, a unif…
cs.LG2024★ 1 cited
Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning
Charles Dickens, Changyu Gao, Connor Pryor +2
We leverage convex and bilevel optimization techniques to develop a general gradient-based parameter learning framework for neural-symbolic (NeSy) systems. We demonstrate our frame…