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arXiv Machine Learning By Tim Nico Bauerschmidt, Isabel Valera, Jilles Vreeken

What Comes Next and Why: Interpretable Next-Event Prediction with Neuro-Symbolic Rules

Read the original on arXiv Machine Learning →

The paper introduces RULES, a neuro-symbolic model that learns sequential rules directly from data, and RUNES, which combines these rules with a residual network for next-event prediction. RULES can accurately recover ground truth rules in synthetic experiments and uncover compact, interpretable rule sets on real datasets. RUNES achieves competitive accuracy while offering transparent access to the active rules and the residual adjustments that refine predictions.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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