Prof. Dr. Frauke Liers-Bergmann

Professur für Optimization under Uncertainty & Data Analysis

Robust chance-constrained optimization with discrete distributions (2025) Bernhard D, Liers F, Stingl M Unpublished / Preprint A Gradient-Based Method for Joint Chance-Constrained Optimization with Continuous Distributions (2025) Bernhard D, Liers F, Stingl M Unpublished / Preprint Optimized Noise Suppression for Quantum Circuits (2025) Wagner F, Egger DJ, Liers F Journal article Scenario Reduction for Distributionally Robust Optimization (2025) Aigner KM, Denzler S, Liers F, Pokutta S, Sharma K Unpublished / Preprint Feature Selection for Data-driven Explainable Optimization (2025) Aigner KM, Goerigk M, Hartisch M, Liers F, Miehlich A, Rösel F Unpublished / Preprint The non-stop disjoint trajectories problem (2024) Hoch B, Liers-Bergmann F, Neumann S, Zaragoza Martínez FJ Journal article A Framework for Data-driven Explainability in Mathematical Optimization (2024) Aigner KM, Goerigk M, Hartisch M, Liers F, Miehlich A Conference contribution, Conference Contribution Fleet & tail assignment under uncertainty (2024) Glomb L, Liers-Bergmann F, Rösel F Journal article, Original article A digital twin to overcome long-time challenges in photovoltaics (2024) Lüer L, Peters IM, Smith AS, Dorschky E, Eskofier B, Liers-Bergmann F, Franke J, et al. Journal article Improving reconstructions in nanotomography for homogeneous materials via mathematical optimization (2024) Kreuz S, Apeleo Zubiri B, Englisch S, Buwen M, Kang SG, Ramachandramoorthy R, Spiecker E, et al. Journal article