5 papers
Subtrace-Conditional Validation of Simulation Models and Digital Twins
Mohammadmahdi Ghasemloo, David J. Eckman, Yaxian Li
Validating simulation models against historical output data is essential for their successful deployment in digital-twin environments. We propose a statistical validation framework…
Accelerating Reinforcement Learning Training Using Simulation Surrogate Models
Mohammadmahdi Ghasemloo, David J. Eckman, Yaxian Li
High-fidelity simulation models are widely used to analyze complex stochastic systems, but their high computational cost motivates the development of cheaper surrogate models that…
Quantifying and Attributing Submodel Uncertainty in Stochastic Simulation Models and Digital Twins
Mohammadmahdi Ghasemloo, David J. Eckman, Yaxian Li
Stochastic simulation is widely used to study complex systems composed of various interconnected subprocesses, such as input processes, routing and control logic, optimization rout…
Informed Forecasting: Leveraging Auxiliary Knowledge to Boost LLM Performance on Time Series Forecasting
Mohammadmahdi Ghasemloo, Alireza Moradi
With the widespread adoption of Large Language Models (LLMs), there is a growing need to establish best practices for leveraging their capabilities beyond traditional natural langu…
An Agglomerative Clustering of Simulation Output Distributions Using Regularized Wasserstein Distance
Mohammadmahdi Ghasemloo, David J. Eckman
Using statistical learning methods to analyze stochastic simulation outputs can significantly enhance decision-making by uncovering relationships between different simulated system…