Author

Jeriek Van den Abeele

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#machine learning Preprint Sep 2026

A Hierarchy of Entropy-Shapley Games for Multivariate Predictive Uncertainty

Modern probabilistic machine learning models increasingly produce multivariate outputs with complex dependence structure, from multi-step time-series forecasts to sample path predictions. Understanding which input features drive the predictive uncertainty is important for risk-aware decisions, model diagnostics, and de...

Niklas Koenen, Claudia Battistin, Jeriek Van den Abeele et al. · 0 citations

Open access Aug 2026

REMEDy: a dataset for rationale extraction and span-based moderation of dialogue prompts

REMEDy, a novel dataset specifically built for extracting fine-grained rationales from user prompts, is presented, demonstrating that REMEDy-trained models achieve competitive or superior moderation outcomes while simultaneously providing structured, human-readable rationales.

L. piano, Claudia Battistin, Jeriek Van den Abeele et al. · Neural computing & applicati... · 0 citations