Justin Noah Kreikemeyer

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Decision Makers

Dependency Graph

Smoothing Methods

Aspect Oriented Programming

Top Venues

Publications

Justin Noah Kreikemeyer, Philipp Andelfinger, Adelinde M. Uhrmacher
Towards Learning Stochastic Population Models by Gradient Descent. CoRR (2024)
Philipp Andelfinger, Justin Noah Kreikemeyer
Automatic Gradient Estimation for Calibrating Crowd Models with Discrete Decision Making. ICCS (5) (2024)
Justin Noah Kreikemeyer, Philipp Andelfinger, Adelinde M. Uhrmacher
Towards Learning Stochastic Population Models by Gradient Descent. SIGSIM-PADS (2024)
Philipp Andelfinger, Justin Noah Kreikemeyer
Automatic Gradient Estimation for Calibrating Crowd Models with Discrete Decision Making. CoRR (2024)
Justin Noah Kreikemeyer, Philipp Andelfinger
Smoothing Methods for Automatic Differentiation Across Conditional Branches. IEEE Access 11 (2023)
Justin Noah Kreikemeyer, Philipp Andelfinger
Smoothing Methods for Automatic Differentiation Across Conditional Branches. CoRR (2023)
Justin Noah Kreikemeyer, Till Köster, Adelinde M. Uhrmacher, Tom Warnke
Inferring Dependency Graphs for Agent-Based Models Using Aspect-Oriented Programming. WSC (2021)
Justin Noah Kreikemeyer, Jane Hillston, Adelinde M. Uhrmacher
Probing the Performance of the Edinburgh Bike Sharing System using SSTL. SIGSIM-PADS (2020)