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Kreikemeyer, Justin N. and Jankowski, Miłosz and Wilsdorf, Pia and Uhrmacher, Adelinde M. (2025) Using (Not-so) Large Language Models to Generate Simulation Models in a Formal DSL: A Study on Reaction Networks. ACM Transactions on Modeling and Computer Simulation (TOMACS) for the special issue on PADS 2025, 35 (4), ISSN 1049-3301 (print) 1558-1195 (online).
Uhrmacher, Adelinde M. and Wilsdorf, Pia and Kreikemeyer, Justin N. (2024) Challenges and promises of self-adaptive simulation models. Simulation: Transactions of the Society for Modeling and Simulation International, 100 (12), pp. 1281-1295.
Kreikemeyer, Justin N. and Andelfinger, Philipp (2023) Smoothing Methods for Automatic Differentiation Across Conditional Branches. IEEE Access, 11, pp. 143190-143211. ISSN 2169-3536.
Burrage, Kevin and Burrage, Pamela M. and Kreikemeyer, Justin N. and Uhrmacher, Adelinde M. and Weerasinnghe, Hasitha N. Learning Surrogate Equations for the Analysis of an Agent-Based Cancer Model. Frontiers in Applied Mathematics and Statistics - Mathematical Biology, ISSN 2297-4687.
Kreikemeyer, Justin N. and Jankowski, Miłosz and Wilsdorf, Pia and Uhrmacher, Adelinde M. (2025) Synopsis: Using (Not-so) Large Language Models to Generate Simulation Models in a Formal DSL: A Study on Reaction Networks. In: 39th ACM SIGSIM PADS, 23-26 Jun 2025, Santa Fe, New Mexico, USA.
Andelfinger, Philipp and Kreikemeyer, Justin N. (2024) Automatic Gradient Estimation for Calibrating Crowd Models with Discrete Decision Making. In: 24th International Conference on Computational Science (ICCS 2024), 02-04 Jul 2024, Málaga, Spain. Proceedings, published by Springer Nature Switzerland, Cham, pp. 227-241.
Kreikemeyer, Justin N. and Burrage, Kevin and Uhrmacher, Adelinde M. (2024) Discovering Biochemical Reaction Models by Evolving Libraries. In: 22nd International conference on Computational Methods in System Biology (CMSB 2024), 16-18 Sep 2024, Pisa, Italy. Proceedings, published by Springer Nature Switzerland, Cham, pp. 117-136.
Kreikemeyer, Justin N. and Andelfinger, Philipp and Uhrmacher, Adelinde M. (2024) Towards Learning Stochastic Population Models by Gradient Descent. In: 38th ACM SIGSIM Principles of Advanced Discrete Simulation (PADS 2024), 24-26 Jun 2024, Atlanta, Georgia, USA. Proceedings, published by Association for Computing Machinery (ACM), New York, NY USA, pp. 88-92.
Kreikemeyer, Justin N. and Köster, Till and Uhrmacher, Adelinde M. and Warnke, Tom (2021) Inferring Dependency Graphs for Agent-based Models Using Aspect-oriented Programming. In: Winter Simulation Conference (WSC 2021), 13-16 Dec 2021, Phoenix, Arizona, USA. Proceedings, published by IEEE Press, pp. 1-12.
Kreikemeyer, Justin N. and Hillston, Jane and Uhrmacher, Adelinde M. (2020) Probing the Performance of the Edinburgh Bike Sharing System using SSTL. In: ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (PADS 2020), 15-17 Jun 2020, Miami, Florida, USA. Proceedings, published by ACM, New York, USA, pp. 141-152.
Kreikemeyer, Justin N. (2023) Tensor-Based Smooth Execution of Stochastic Agent-Based Simulations. Masters thesis, Institute for Visual and Analytic Computing, University of Rostock.
Kreikemeyer, Justin N. (2021) Inferring Dependency Graphs for Agent-Based Models using Aspect-Oriented Programming. Bachelor thesis, Institute for Visual and Analytic Computing, University of Rostock.
