An open-source optimization framework developed with CERN has automated accelerator tuning at GSI and FAIR, cutting SIS18 ...
The open-source VIPR framework standardizes machine-learning inference for ill-posed inverse problems in reflectometry and ...
Researchers must often choose between Bayesian or neural network models of behavior, two paradigms with complementary strengths and weaknesses. An ideal paradigm would facilitate testing many kinds of ...
B. Wang, D. Lee, G. Lee. Learning the robust optimum: a single-loop Bayesian framework for optimization under uncertainty. Submitted to Aerospace Science and Technology, 2026. Extended version of ICAS ...
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