3 papers
cs.AI2026
Using Large Language Models and Knowledge Graphs to Improve the Interpretability of Machine Learning Models in Manufacturing
Thomas Bayer, Alexander Lohr, Sarah Weiß +2
Explaining Machine Learning (ML) results in a transparent and user-friendly manner remains a challenging task of Explainable Artificial Intelligence (XAI). In this paper, we presen…
physics.data-an2026
Chiral moments make chiral measures
Emilio Pisanty, Nicola Mayer, Andrés Ordóñez +2
We develop a family of chiral measures to quantify the chirality of a distribution and assign it a handedness. Our measures are built using the tensorial moments of the distributio…
quant-ph2025
Enantiosensitive exceptional points in open chiral systems
Nicola Mayer, Alexander Löhr, Nimrod Moiseyev +2
Exceptional points (EPs) are remarkable spectral degeneracies in a non-Hermitian system's parameter space, where both eigenvalues and eigenstates coalesce. Here, we show that in no…