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20232026
most citedAnalytical Uncertainty-Based Loss Weighting in Multi-Task Learning

1 citations · 1 across the 13 of their papers we have counts for

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cs.LG2026

On the Potential of Multi-Task Learning in Predictive Process Monitoring

Lukas Kirchdorfer, Keyvan Amiri Elyasi, Heiner Stuckenschmidt

Predictive Process Monitoring (PPM) forecasts how ongoing organizational processes unfold, enabling information systems to move beyond execution support toward proactive analysis a…

cs.LG2026

Mind the Long Tail: Understanding the Difficulty of Delay Detection in Business Processes

Keyvan Amiri Elyasi, Lukas Kirchdorfer, Heiner Stuckenschmidt

The early detection of delayed cases in business processes is a critical capability for organizations. Predictive process monitoring (PPM) supports this task by using historical ev…

cs.LG2026

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

Predictive process monitoring (PPM) leverages event logs to forecast the future of running process instances, for instance, predicting the next activity, the remaining time until c…

cs.LG2026

Temporal Knowledge Graph Forecasting under Distribution Shifts: A Synthetic Evaluation

Konrad Özdemir, 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…

cs.AI2026

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…

cs.MA2026

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…

cs.AI2026

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…