3 papers
cs.LG2026
RL-STPA: Adapting System-Theoretic Hazard Analysis for Safety-Critical Reinforcement Learning
Steven A. Senczyszyn, Timothy C. Havens, Nathaniel Rice +3
As reinforcement learning (RL) deployments expand into safety-critical domains, existing evaluation methods fail to systematically identify hazards arising from the black-box natur…
eess.IV2025
Beneath the Surface: The Role of Underwater Image Enhancement in Object Detection
Ali Awad, Ashraf Saleem, Sidike Paheding +3
Underwater imagery often suffers from severe degradation resulting in low visual quality and reduced object detection performance. This work aims to evaluate state-of-the-art image…
cs.CL2024
Extra Global Attention Designation Using Keyword Detection in Sparse Transformer Architectures
Evan Lucas, Dylan Kangas, Timothy C Havens
In this paper, we propose an extension to Longformer Encoder-Decoder, a popular sparse transformer architecture. One common challenge with sparse transformers is that they can stru…