Department of Data Science

ESM-Regio - Simulation and Optimization of Regional Energy Systems in Carbon-Neutral Scenarios (2026) Aigner KM, Bazan P, Bottler S, Burlacu R, Bölting B, Elhaus N, Karl J, et al. Journal article, Original article Nonlocal Techniques for the Analysis of Deep ReLU Neural Network Approximations (2026) Schneider C, Ullrich M, Vybíral J Journal article Lexicographic column generation with a tree search pricing algorithm (2026) Bärmann A, Müller A, Weninger D Journal article Branch-and-cut for mixed-integer robust chance-constrained optimization with discrete distributions (2026) Bernhard D, Liers F, Stingl M Unpublished / Preprint Robust Bayesian Optimization with an Application to Material Science (2026) Denzler S, Aigner KM, Lüer L, Brabec C, Liers F Unpublished / Preprint Algorithms for robust chance-constrained optimization with mixture ambiguity (2026) Bernhard D, Stingl M, Liers F Unpublished / Preprint Feature Selection for Data-driven Explainable Optimization (2026) Aigner KM, Goerigk M, Hartisch M, Liers F, Miehlich A, Rösel F Unpublished / Preprint Scenario Reduction for Distributionally Robust Optimization (2026) Aigner KM, Denzler S, Liers F, Pokutta S, Sharma K Unpublished / Preprint Robust chance-constrained optimization with discrete distributions (2026) Bernhard D, Liers F, Stingl M Unpublished / Preprint High-quality tomographic image reconstruction integrating neural networks and mathematical optimization (2025) Mishra A, Gilch A, Apeleo Zubiri B, Rolfes J, Liers F Journal article