Justin Noah Kreikemeyer

16 papers C 1Misc 1Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Learning Surrogate Equations for the Analysis of an Agent-Based Cancer Model.
CoRR
Kevin Burrage, Pamela M. Burrage, Justin Noah Kreikemeyer, Adelinde M. Uhrmacher, Hasitha N. Weerasinghe
2025 J jnl
Learning surrogate equations for the analysis of an agent-based cancer model.
Frontiers Appl. Math. Stat.
Kevin Burrage, Pamela M. Burrage, Justin Noah Kreikemeyer, Adelinde M. Uhrmacher, Hasitha N. Weerasinghe
2025 C conf
Self-Adaptive Simulation Models: A Case Study in Cell Biology.
DS-RT
Pia Wilsdorf, Philipp Henning, Justin Noah Kreikemeyer, Marcel Kliefoth, Simone Baltrusch, Adelinde M. Uhrmacher
2025 — conf
Synopsis: Using (Not-so) Large Language Models to Generate Simulation Models in a Formal DSL: A Study on Reaction Networks.
SIGSIM-PADS
Justin Noah Kreikemeyer, Milosz Jankowski, Pia Wilsdorf, Adelinde M. Uhrmacher
2025 J jnl
Using (Not so) Large Language Models for Generating Simulation Models in a Formal DSL - A Study on Reaction Networks.
CoRR
Justin Noah Kreikemeyer, Milosz Jankowski, Pia Wilsdorf, Adelinde M. Uhrmacher
2025 J jnl
Using (Not-so) Large Language Models to Generate Simulation Models in a Formal DSL: A Study on Reaction Networks.
ACM Trans. Model. Comput. Simul.
Justin Noah Kreikemeyer, Milosz Jankowski, Pia Wilsdorf, Adelinde M. Uhrmacher
2024 — conf
Automatic Gradient Estimation for Calibrating Crowd Models with Discrete Decision Making.
ICCS (5)
Philipp Andelfinger, Justin Noah Kreikemeyer
2024 J jnl
Automatic Gradient Estimation for Calibrating Crowd Models with Discrete Decision Making.
CoRR
Philipp Andelfinger, Justin Noah Kreikemeyer
2024 J jnl
Challenges and promises of self-adaptive simulation models.
Simul.
Adelinde M. Uhrmacher, Pia Wilsdorf, Justin Noah Kreikemeyer
2024 — conf
Discovering Biochemical Reaction Models by Evolving Libraries.
CMSB
Justin Noah Kreikemeyer, Kevin Burrage, Adelinde M. Uhrmacher
2024 — conf
Towards Learning Stochastic Population Models by Gradient Descent.
SIGSIM-PADS
Justin Noah Kreikemeyer, Philipp Andelfinger, Adelinde M. Uhrmacher
2024 J jnl
Towards Learning Stochastic Population Models by Gradient Descent.
CoRR
Justin Noah Kreikemeyer, Philipp Andelfinger, Adelinde M. Uhrmacher
2023 J jnl
Smoothing Methods for Automatic Differentiation Across Conditional Branches.
IEEE Access
Justin Noah Kreikemeyer, Philipp Andelfinger
2023 J jnl
Smoothing Methods for Automatic Differentiation Across Conditional Branches.
CoRR
Justin Noah Kreikemeyer, Philipp Andelfinger
2021 Misc conf
Inferring Dependency Graphs for Agent-Based Models Using Aspect-Oriented Programming.
WSC
Justin Noah Kreikemeyer, Till Köster, Adelinde M. Uhrmacher, Tom Warnke
2020 — conf
Probing the Performance of the Edinburgh Bike Sharing System using SSTL.
SIGSIM-PADS
Justin Noah Kreikemeyer, Jane Hillston, Adelinde M. Uhrmacher