3 papers
cs.NE2026
Uncertainty-Aware Offline Data-Driven Multi-Objective Optimization
Huanbo Lyu, Miqing Li, Shiqiao Zhou +7
In offline data-driven multi-objective optimization (MOO), optimization is performed using surrogate models trained only on an offline dataset. These surrogate models contain inher…
cs.SE2025
MIT Lincoln Laboratory: A Case Study on Improving Software Support for Research Projects
Daniel Strassler, Gabe Elkin, Curran Schiefelbein +6
Software plays an ever increasing role in complex system development and prototyping, and in recent years, MIT Lincoln Laboratory has sought to improve both the effectiveness and c…
q-bio.GN2025
iTARGET: Interpretable Tailored Age Regression for Grouped Epigenetic Traits
Zipeng Wu, Daniel Herring, Fabian Spill +1
Accurately predicting chronological age from DNA methylation patterns is crucial for advancing biological age estimation. However, this task is made challenging by Epigenetic Corre…