Analytical Uncertainty-Based Loss Weighting in Multi-Task Learning L Kirchdorfer, C Elich, S Kutsche, H Stuckenschmidt, L Schott, JM Köhler 2024 German Conference on Pattern Recognition (GCPR), 2024 | 2 | 2024 |
Examining Common Paradigms in Multi-Task Learning C Elich, L Kirchdorfer, JM Köhler, L Schott 2024 German Conference on Pattern Recognition (GCPR), 2023 | 2* | 2023 |
AgentSimulator: An Agent-based Approach for Data-driven Business Process Simulation L Kirchdorfer, R Blümel, T Kampik, H Van der Aa, H Stuckenschmidt 2024 6th International Conference on Process Mining (ICPM), 97-104, 2024 | 1 | 2024 |
Enabling mixed effects neural networks for diverse, clustered data using Monte Carlo methods A Tschalzev, P Nitschke, L Kirchdorfer, S Lüdtke, C Bartelt, ... 2024 33rd International Joint Conference on Artificial Intelligence (IJCAI …, 2024 | | 2024 |
The Future of Business Process Simulation in Scientific Research and Academic Education H Sperling, H Scheruhn, L Kirchdorfer, P Sieboth, R Bluemel, W SAP SE https://www. tuwien. at/mwbw/im/ie/ifm/acc/sap-academic-community-conference …, 0 | | |