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cs.AI2026
Rethinking Positional Encoding for Neural Vehicle Routing
Chuanbo Hua, Federico Berto, Andre Hottung +8
Transformer-based models have become the dominant paradigm for neural combinatorial optimization (NCO) of vehicle routing problems (VRPs), yet the role of positional encoding (PE)…
cs.LG2026
On the Hardness of Computing Counterfactual and Semifactual Explanations in XAI
André Artelt, Martin Olsen, Kevin Tierney
Providing clear explanations to the choices of machine learning models is essential for these models to be deployed in crucial applications. Counterfactual and semi-factual explana…