3 papers
cs.AI2026
A case study of evaluating AI agents on a neuroscience data-to-discovery pipeline
Kai A. Horstmann, Ethan Lin, Alice A. Robie +2
Agentic AI offers a promising path to automating software development bottlenecks in scientific research pipelines, particularly for stages that take domain experts days to months…
cs.CV2025
Simple Agents Outperform Experts in Biomedical Imaging Workflow Optimization
Xuefei, Wang, Kai A. Horstmann +9
Adapting production-level computer vision tools to bespoke scientific datasets is a critical "last mile" bottleneck. Current solutions are impractical: fine-tuning requires large a…
cs.CV2025
Inference-Time Scaling of Diffusion Models for Infrared Data Generation
Kai A. Horstmann, Maxim Clouser, Kia Khezeli
Infrared imagery enables temperature-based scene understanding using passive sensors, particularly under conditions of low visibility where traditional RGB imaging fails. Yet, deve…