Lukas Kirchdorfer

16 papers A* 1A 1B 1Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Investigating Uncertainty Weighting for Multi-Task Learning: Insights and Analytical Alternative.
Int. J. Comput. Vis.
Lukas Kirchdorfer, Tobias Sesterhenn, Christian Bartelt, Heiner Stuckenschmidt, Lukas Schott, Jan Mathias Köhler
2025 — conf
A Business Process Simulation Tool Bridging Control‑Flow and Resource‑Centric Paradigms.
BPM (Demos / Resources Forum)
Jack Edh, Tuva Falk, Filip Kanon, Erik Simonsson, Hugo Sjödin, Jonatan Wincent, Elisabeth Barar, Robert Blümel, Lukas Kirchdorfer
2025 A conf
A Divide-and-Conquer Approach for Modeling Arrival Times in Business Process Simulation.
BPM
Lukas Kirchdorfer, Konrad Özdemir, Stjepan Kusenic, Han van der Aa, Heiner Stuckenschmidt
2025 J jnl
A Divide-and-Conquer Approach for Modeling Arrival Times in Business Process Simulation.
CoRR
Lukas Kirchdorfer, Konrad Özdemir, Stjepan Kusenic, Han van der Aa, Heiner Stuckenschmidt
2025 J jnl
Discovering multi-agent systems for resource-centric business process simulation.
Process Sci.
Lukas Kirchdorfer, Robert Blümel, Timotheus Kampik, Han van der Aa, Heiner Stuckenschmidt
2025 J jnl
On the Simplification of Neural Network Architectures for Predictive Process Monitoring.
CoRR
Amaan Ansari, Lukas Kirchdorfer, Raheleh Hadian
2025 J jnl
Rethinking BPS: A Utility-Based Evaluation Framework.
CoRR
Konrad Özdemir, Lukas Kirchdorfer, Keyvan Amiri Elyasi, Han van der Aa, Heiner Stuckenschmidt
2025 — conf
Rethinking Business Process Simulation: A Utility-Based Evaluation Framework.
BPM (Forum)
Konrad Özdemir, Lukas Kirchdorfer, Keyvan Amiri Elyasi, Han van der Aa, Heiner Stuckenschmidt
2024 B conf
AgentSimulator: An Agent-based Approach for Data-driven Business Process Simulation.
ICPM
Lukas Kirchdorfer, Robert Blümel, Timotheus Kampik, Han van der Aa, Heiner Stuckenschmidt
2024 J jnl
AgentSimulator: An Agent-based Approach for Data-driven Business Process Simulation.
CoRR
Lukas Kirchdorfer, Robert Blümel, Timotheus Kampik, Han van der Aa, Heiner Stuckenschmidt
2024 J jnl
Analytical Uncertainty-Based Loss Weighting in Multi-Task Learning.
CoRR
Lukas Kirchdorfer, Cathrin Elich, Simon Kutsche, Heiner Stuckenschmidt, Lukas Schott, Jan Mathias Köhler
2024 — conf
Analytical Uncertainty-Based Loss Weighting in Multi-task Learning.
GCPR (1)
Lukas Kirchdorfer, Cathrin Elich, Simon Kutsche, Heiner Stuckenschmidt, Lukas Schott, Jan Mathias Köhler
2024 A* conf
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods.
IJCAI
Andrej Tschalzev, Paul Nitschke, Lukas Kirchdorfer, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
2024 J jnl
Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods.
CoRR
Andrej Tschalzev, Paul Nitschke, Lukas Kirchdorfer, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
2024 — conf
Examining Common Paradigms in Multi-task Learning.
GCPR (1)
Cathrin Elich, Lukas Kirchdorfer, Jan Mathias Köhler, Lukas Schott
2023 J jnl
Challenging Common Assumptions in Multi-task Learning.
CoRR
Cathrin Elich, Lukas Kirchdorfer, Jan Mathias Köhler, Lukas Schott