4 citations · 4 across the 6 of their papers we have counts for
6 papers
Score-Based Generative Data Assimilation for Integrating Aggregated Surveillance Data into Agent-Based Models in Epidemic Tracking
Siming Liang, Jacob Hauck, Minglei Yang +3
Reliable epidemic monitoring often requires inferring regional infection burden and transmission heterogeneity from noisy, spatially aggregated, and potentially sparse surveillance…
LLM-powered reasoning in agent-based modeling
Sifat Afroj Moon, Dakotah Maguire, Adam Spannaus +5
Agent-based modeling (ABM) has the capability to model millions of individuals and their interactions, which is useful for policy making. However, ABMs have traditionally relied on…
Data Assimilation for Robust UQ Within Agent-Based Simulation on HPC Systems
Adam Spannaus, Sifat Afroj Moon, John Gounley +1
Agent-based simulation provides a powerful tool for in silico system modeling. However, these simulations do not provide built-in methods for uncertainty quantification (UQ). Withi…
Global explainability of a deep abstaining classifier
Sayera Dhaubhadel, Jamaludin Mohd-Yusof, Benjamin H. McMahon +8
We present a global explainability method to characterize sources of errors in the histology prediction task of our real-world multitask convolutional neural network (MTCNN)-based…
Identifying Spatiotemporal Patterns in Opioid Vulnerability: Investigating the Links Between Disability, Prescription Opioids and Opioid-Related Mortality
Andrew Deas, Hashan Fernando, Heidi A. Hanson +4
The opioid crisis remains one of the most daunting and complex public health problems in the United States. This study investigates the national epidemic by analyzing vulnerability…
Topological Interpretability for Deep-Learning
Adam Spannaus, Heidi A. Hanson, Lynne Penberthy +1
With the growing adoption of AI-based systems across everyday life, the need to understand their decision-making mechanisms is correspondingly increasing. The level at which we can…