• Lucas Fabian Naumann, Jannik Irmai, Shengxian Zhao and Bjoern Andres. Cut Facets and Cube Facets of Lifted Multicut Polytopes. (under review). https://arxiv.org/abs/2402.16814
• Jannik Irmai, Shengxian Zhao, Jannik Presberger, Bjoern Andres. A Graph Multi-separator Problem for Image Segmentation. (under review). https://arxiv.org/abs/2307.04592
• Jannik Irmai, Holger Heidrich, Bjoern Andres. A 4-approximation algorithm for min max correlation clustering. AISTATS 2024 (accepted). https://arxiv.org/abs/2310.09196
• Bjoern Andres, Silvia Di Gregorio, Jannik Irmai and Jan-Hendrik Lange. A Polyhedral Study of Lifted Multicuts. Discrete Optimization 47:100757, 2023 https://doi.org/10.1016/j.disopt.2022.100757
• David Stein, Silvia Di Gregorio, Bjoern Andres. Partial Optimality in Cubic Correlation Clustering. ICML 2023. https://proceedings.mlr.press/v202/stein23a.html
• Iporre-Rivas, A., Saur, D., Rohr, K., Scheuermann, G., & Gillmann, C. (2023). Stroke-GFCN: ischemic stroke lesion prediction with a fully convolutional graph network. Journal of Medical Imaging, 10(4), 044502-044502.
• Maack, R. G., Scheuermann, G., Hagen, H., Peñaloza, J. T. H., & Gillmann, C. (2023). Uncertainty-aware visual analytics: scope, opportunities, and challenges. The Visual Computer, 39(12), 6345-6366.

All ScaDS.AI Dresden/Leipzig-stamped publications of the Interactive Media Lab Dresden are available at https://imld.de/research/research-projects/scads-ai-center-for-scalable-data-analytics-and-artificial-intelligence/