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cs.LG2026
On Improving Neurosymbolic Learning by Exploiting the Representation Space
Aaditya Naik, Efthymia Tsamoura, Shibo Jin +2
We study the problem of learning neural classifiers in a neurosymbolic setting where the hidden gold labels of input instances must satisfy a logical formula. Learning in this sett…
cs.LG2024
Imbalances in Neurosymbolic Learning: Characterization and Mitigating Strategies
Kaifu Wang, Efthymia Tsamoura, Dan Roth
We study one of the most popular problems in **neurosymbolic learning** (NSL), that of learning neural classifiers given only the result of applying a symbolic component to the…