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ORCIDJustin Noah Kreikemeyer
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2020 – today
- 2024
[j2]Adelinde M. Uhrmacher, Pia Wilsdorf, Justin Noah Kreikemeyer
:
Challenges and promises of self-adaptive simulation models. Simul. 100(12): 1281-1295 (2024)- [c5]Justin Noah Kreikemeyer, Kevin Burrage, Adelinde M. Uhrmacher:
Discovering Biochemical Reaction Models by Evolving Libraries. CMSB 2024: 117-136 - [c4]Philipp Andelfinger, Justin Noah Kreikemeyer:
Automatic Gradient Estimation for Calibrating Crowd Models with Discrete Decision Making. ICCS (5) 2024: 227-241 - [c3]Justin Noah Kreikemeyer, Philipp Andelfinger, Adelinde M. Uhrmacher:
Towards Learning Stochastic Population Models by Gradient Descent. SIGSIM-PADS 2024: 88-92 - [i3]Philipp Andelfinger, Justin Noah Kreikemeyer:
Automatic Gradient Estimation for Calibrating Crowd Models with Discrete Decision Making. CoRR abs/2404.04678 (2024) - [i2]Justin Noah Kreikemeyer, Philipp Andelfinger, Adelinde M. Uhrmacher:
Towards Learning Stochastic Population Models by Gradient Descent. CoRR abs/2404.07049 (2024) - 2023
- [j1]Justin Noah Kreikemeyer, Philipp Andelfinger:
Smoothing Methods for Automatic Differentiation Across Conditional Branches. IEEE Access 11: 143190-143211 (2023) - [i1]Justin Noah Kreikemeyer, Philipp Andelfinger:
Smoothing Methods for Automatic Differentiation Across Conditional Branches. CoRR abs/2310.03585 (2023) - 2021
- [c2]Justin Noah Kreikemeyer, Till Köster, Adelinde M. Uhrmacher, Tom Warnke:
Inferring Dependency Graphs for Agent-Based Models Using Aspect-Oriented Programming. WSC 2021: 1-12 - 2020
- [c1]Justin Noah Kreikemeyer, Jane Hillston, Adelinde M. Uhrmacher:
Probing the Performance of the Edinburgh Bike Sharing System using SSTL. SIGSIM-PADS 2020: 141-152
Coauthor Index
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