Organizational Memory for Agentic Business Process Execution
Preprint, 2026
Lukas Kirchdorfer, Adrian Rebmann, Christian Warmuth et al.
Research on process mining, generative AI and business processes.
Before and alongside my work in industry, I have published on process mining, predictive process monitoring, large process models and, most recently, agentic business process execution — together with colleagues from academia and from SAP Signavio. Below are the papers I have co-authored.
Preprints
Journal Articles
Large Process Models: A Vision for Business Process Management in the Age of Generative AI
KI - Künstliche Intelligenz, 2024
Timotheus Kampik, Christian Warmuth, Adrian Rebmann et al.
User Behavior Mining
Business & Information Systems Engineering (BISE), 2024
Jana-Rebecca Rehse, Luka Abb, Gregor Berg et al.
Conference & Workshop Papers
SimuBridge: Discovery and Management of Process Simulation Scenarios
Business Process Management Conference, Utrecht, Netherlands, 2023
Leon Bein, Finn Klessascheck, Sviatlana Nepeina et al.
SAP Signavio Academic Models: A Large Process Model Dataset
Process Mining Workshops (ICPM 2022), Lecture Notes in Business Information Processing, 2023
Diana Sola, Christian Warmuth, Bernhard Schäfer et al.
On the Potential of Textual Data for Explainable Predictive Process Monitoring
Process Mining Workshops (ICPM 2022), Lecture Notes in Business Information Processing, 2023
Christian Warmuth and Henrik Leopold
Patient Discharge Classification Based on the Hospital Treatment Process
Process Mining Workshops (ICPM 2021), Lecture Notes in Business Information Processing, 2022
Jonas Cremerius, Maximilian König, Christian Warmuth and Mathias Weske