output
19952026
most citedA consensus-based model for global optimization and its mean-field limit

146 citations

54 papers

cs.SE2026★ 5 cited

The Vocabulary of Flaky Tests in the Context of SAP HANA

Alexander Berndt, Zoltán Nochta, Thomas Bach

Background. Automated test execution is an important activity to gather information about the quality of a software project. So-called flaky tests, however, negatively affect this…

cs.HC2026

Integrating Multi-Label Classification and Generative AI for Scalable Analysis of User Feedback

Sandra Loop, Erik Bertram, Sebastian Juhl +1

In highly competitive software markets, user experience (UX) evaluation is crucial for ensuring software quality and fostering long-term product success. Such UX evaluations typica…

hep-ph2025

Predictions for charged-hadron production in -O collisions at LHC energies

Luca Konrad, Philipp Schulz, Georg Wolschin

We present predictions for centrality-dependent charged-hadron production in p-O collisions at top LHC energies based on a nonequilibrium-statistical relativistic diffusion model.…

cs.HC2025★ 2 cited

From customer survey feedback to software improvements: Leveraging the full potential of data

Erik Bertram, Nina Hollender, Sebastian Juhl +2

Converting customer survey feedback data into usable insights has always been a great challenge for large software enterprises. Despite the improvements on this field, a major obst…

cs.LG2025

TabularQGAN: A quantum generative model for tabular data synthesis

Pallavi Bhardwaj, Caitlin Jones, Lasse Dierich +1

In this paper, we introduce a novel quantum generative model for synthesizing tabular data. Synthetic data is valuable in scenarios where real-world data is scarce or private, as i…

quant-ph2025★ 5 cited

Quantum Autoencoder for Multivariate Time Series Anomaly Detection

Kilian Tscharke, Maximilian Wendlinger, Afrae Ahouzi +4

Anomaly Detection (AD) defines the task of identifying observations or events that deviate from typical - or normal - patterns, a critical capability in IT security for recognizing…