2 papers
quant-ph2026
Parity Supervision as a Driver of Generalization in Quantum Generative Modeling
Markus Baumann, Daniel Hein, Steffen Udluft +3
Generative models learn probability distributions in order to produce new samples beyond a finite training set. Their usefulness therefore depends on assigning probability to valid…
stat.ML2025
Neural-ANOVA: Analytical Model Decomposition using Automatic Integration
Steffen Limmer, Steffen Udluft, Clemens Otte
The analysis of variance (ANOVA) decomposition offers a systematic method to understand the interaction effects that contribute to a specific decision output. In this paper we intr…