Probing the Performance of the Edinburgh Bike Sharing System using SSTL. - Justin Noah Kreikemeyer; Jane Hillston; Adelinde M. Uhrmacher (SIGSIM-PADS, 2020)

Inferring Dependency Graphs for Agent-Based Models Using Aspect-Oriented Programming. - Justin Noah Kreikemeyer; Till Köster; Adelinde M. Uhrmacher; Tom Warnke (WSC, 2021)

Smoothing Methods for Automatic Differentiation Across Conditional Branches. - Justin Noah Kreikemeyer; Philipp Andelfinger (IEEE Access, 2023)

Discovering Biochemical Reaction Models by Evolving Libraries. - Justin Noah Kreikemeyer; Kevin Burrage; Adelinde M. Uhrmacher (CMSB, 2024)

Automatic Gradient Estimation for Calibrating Crowd Models with Discrete Decision Making. - Philipp Andelfinger; Justin Noah Kreikemeyer (ICCS (5), 2024)

Towards Learning Stochastic Population Models by Gradient Descent. - Justin Noah Kreikemeyer; Philipp Andelfinger; Adelinde M. Uhrmacher (SIGSIM-PADS, 2024)

Challenges and promises of self-adaptive simulation models. - Adelinde M. Uhrmacher; Pia Wilsdorf; Justin Noah Kreikemeyer (Simul., 2024)

Synopsis: Using (Not-so) Large Language Models to Generate Simulation Models in a Formal DSL: A Study on Reaction Networks. - Justin Noah Kreikemeyer; Milosz Jankowski; Pia Wilsdorf; Adelinde M. Uhrmacher (SIGSIM-PADS, 2025)

Using (Not so) Large Language Models for Generating Simulation Models in a Formal DSL - A Study on Reaction Networks. - Justin Noah Kreikemeyer; Milosz Jankowski; Pia Wilsdorf; Adelinde M. Uhrmacher (CoRR, 2025)

Learning Surrogate Equations for the Analysis of an Agent-Based Cancer Model. - Kevin Burrage; Pamela M. Burrage; Justin Noah Kreikemeyer; Adelinde M. Uhrmacher; Hasitha N. Weerasinghe (CoRR, 2025)