Items where Author is "Kreikemeyer, Justin N."

Article

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, pp. 1-15.

Kreikemeyer, Justin N. and Andelfinger, Philipp (2023) Smoothing Methods for Automatic Differentiation Across Conditional Branches. IEEE Access, 11, pp. 143190-143211. ISSN 2169-3536.

Conference or Workshop Item

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.

Thesis

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.