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cs.LG2026
Transfer Learning Architectures for Scalable Multi-Fidelity Bayesian Optimization
Jaewook Lee, Ethan Errington, Christian D. Lorenz +1
Self-driving laboratories increasingly rely on multi-fidelity Bayesian optimization (MFBO) to balance cheap, approximate evaluations against scarce, expensive ones, with a predicti…
cs.LG2024
A KAN-based Interpretable Framework for Process-Informed Prediction of Global Warming Potential
Jaewook Lee, Xinyang Sun, Ethan Errington +1
Accurate prediction of Global Warming Potential (GWP) is essential for assessing the environmental impact of chemical processes and materials. Traditional GWP prediction models rel…