Highly Scalable Stencil-Based Matrix-Free Stochastic Estimator for the Diagonal of the Inverse. - Fabio Verbosio; Jurai Kardos; Mauro Bianco; Olaf Schenk (SBAC-PAD, 2018)

Structure Exploiting Interior Point Methods. - Jurai Kardos; Drosos Kourounis; Olaf Schenk (CoRR, 2019)

Reduced-Space Interior Point Methods in Power Grid Problems. - Juraj Kardos; Drosos Kourounis; Olaf Schenk (CoRR, 2020)

AI Driven Near Real-time Locational Marginal Pricing Method: A Feasibility and Robustness Study. - Naga Venkata Sai Jitin Jami; Juraj Kardos; Olaf Schenk; Harald Köstler (ISGT EUROPE, 2023)

Application of deep and reinforcement learning to boundary control problems. - Zenin Easa Panthakkalakath; Juraj Kardos; Olaf Schenk (CoRR, 2023)

Structure-exploiting interior-point solver for high-dimensional entropy-sparsified regression learning. - Edoardo Vecchi; Juraj Kardos; Malik Lechekhab; Andreas Wächter; Illia Horenko; Olaf Schenk (J. Comput. Sci., 2024)

Sensitivity analysis of high-dimensional models with correlated inputs. - Juraj Kardos; Wouter Edeling; Diana Suleimenova; Derek Groen; Olaf Schenk (J. Comput. Sci., 2025)