6 citations · 11 across the 9 of their papers we have counts for
3 papers · 1 filter
NeuralFastLAS: Fast Logic-Based Learning from Raw Data
Theo Charalambous, Yaniv Aspis, Alessandra Russo
Symbolic rule learners generate interpretable solutions, however they require the input to be encoded symbolically. Neuro-symbolic approaches overcome this issue by mapping raw dat…
Neuro-symbolic Rule Learning in Real-world Classification Tasks
Kexin Gu Baugh, Nuri Cingillioglu, Alessandra Russo
Neuro-symbolic rule learning has attracted lots of attention as it offers better interpretability than pure neural models and scales better than symbolic rule learning. A recent ap…
Sparse Relational Reasoning with Object-Centric Representations
Alex F. Spies, Alessandra Russo, Murray Shanahan
We investigate the composability of soft-rules learned by relational neural architectures when operating over object-centric (slot-based) representations, under a variety of sparsi…