2 papers
cs.SE2026
Compiled AI: Deterministic Code Generation for LLM-Based Workflow Automation
Geert Trooskens, Aaron Karlsberg, Anmol Sharma +6
We study compiled AI, a paradigm in which large language models generate executable code artifacts during a compilation phase, after which workflows execute deterministically witho…
cs.LG2026
From Statistical Fidelity to Clinical Consistency: Scalable Generation and Auditing of Synthetic Patient Trajectories
Guanglin Zhou, Armin Catic, Motahare Shabestari +4
Access to electronic health records (EHRs) for digital health research is often limited by privacy regulations and institutional barriers. Synthetic EHRs have been proposed as a wa…