Challenging Common Assumptions in Multi-task Learning. - Cathrin Elich; Lukas Kirchdorfer; Jan Mathias Köhler; Lukas Schott (CoRR, 2023)

Examining Common Paradigms in Multi-task Learning. - Cathrin Elich; Lukas Kirchdorfer; Jan Mathias Köhler; Lukas Schott (GCPR (1), 2024)

Analytical Uncertainty-Based Loss Weighting in Multi-task Learning. - Lukas Kirchdorfer; Cathrin Elich; Simon Kutsche; Heiner Stuckenschmidt; Lukas Schott; Jan Mathias Köhler (GCPR (1), 2024)

AgentSimulator: An Agent-based Approach for Data-driven Business Process Simulation. - Lukas Kirchdorfer; Robert Blümel; Timotheus Kampik; Han van der Aa; Heiner Stuckenschmidt (ICPM, 2024)

Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods. - Andrej Tschalzev; Paul Nitschke; Lukas Kirchdorfer; Stefan Lüdtke; Christian Bartelt; Heiner Stuckenschmidt (IJCAI, 2024)

Rethinking BPS: A Utility-Based Evaluation Framework. - Konrad Özdemir; Lukas Kirchdorfer; Keyvan Amiri Elyasi; Han van der Aa; Heiner Stuckenschmidt (CoRR, 2025)

A Divide-and-Conquer Approach for Modeling Arrival Times in Business Process Simulation. - Lukas Kirchdorfer; Konrad Özdemir; Stjepan Kusenic; Han van der Aa; Heiner Stuckenschmidt (CoRR, 2025)