3 papers
math.OC2026
Physics-Informed Tensor Completion with Application to Distribution System State Estimation
Alexander While, Anil Aswani, Chen Chen +1
State estimation in power distribution networks often involves sparse, noisy, and heterogeneous measurements, making classical weighted least-squares methods unreliable in low-obse…
cs.AI2025
Bayesian Graph Traversal
William N. Caballero, Phillip R. Jenkins, David Banks +1
This research considers Bayesian decision-analytic approaches toward the traversal of an uncertain graph. Namely, a traveler progresses over a graph in which rewards are gained upo…
cs.CR2024
On Large Language Models in National Security Applications
William N. Caballero, Phillip R. Jenkins
The overwhelming success of GPT-4 in early 2023 highlighted the transformative potential of large language models (LLMs) across various sectors, including national security. This a…