From the 1 of 8 linked papers with an AI index.
8 papers
Revisiting Predictive Process Monitoring in the Age of Foundation Models: A Comparative Study of Sequence, Tabular, and LLM Approaches
Lennart Fertig, Lukas Kirchdorfer, Tobias Sesterhenn
The paper benchmarks predictive process monitoring using three approaches—sequence models, tabular foundation models, and large language models—across several datasets and tasks, f…
Temporal Knowledge Graph Forecasting under Distribution Shifts: A Synthetic Evaluation
Konrad Ãzdemir, Julia Gastinger, Lukas Kirchdorfer +1
Temporal knowledge graphs (TKGs) represent evolving relational systems, whose underlying data-generating processes often change over time. Yet, TKG forecasting models are commonly…
Organizational Memory for Agentic Business Process Execution
Lukas Kirchdorfer, Adrian Rebmann, Christian Warmuth +3
LLM-based agents offer new opportunities for automating business process execution beyond the limits of rule-based systems. However, general-purpose LLMs lack the organization-spec…
From Global Policies to Local Strategies: Multi-Objective Optimization of Resource-Specific Handover Policies
Lukas Kirchdorfer, Artemis Doumeni, Han van der Aa +1
Efficient resource allocation is a key challenge in business process management, with direct implications for cost, throughput time, and utilization. While recent Reinforcement Lea…
Formal Foundations of Agentic Business Process Management
Giuseppe De Giacomo, Timotheus Kampik, Lukas Kirchdorfer +2
Just like traditional BPM systems, agentic BPM systems are built around a specification of the process under consideration. Their distinguishing feature, however, is that the execu…
On the Simplification of Neural Network Architectures for Predictive Process Monitoring
Amaan Ansari, Lukas Kirchdorfer, Raheleh Hadian
Predictive Process Monitoring (PPM) aims to forecast the future behavior of ongoing process instances using historical event data, enabling proactive decision-making. While recent…