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