AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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High-dimensional Bayesian optimization (BO) often fits Gaussian process (GP) surrogates from far fewer observations than input dimensions. Modern Vanilla BO can perform well in this regime with dimension-aware priors, initialization, and acquisition optimization, but it typically retains automatic relevance determinati...
This work proposes an experimentally tuned protein-RNA score function that can be directly implemented into ROSETTA and establishes a framework to efficiently fine-tune ROSETTA score functions for any protein-class interaction using Bayesian Optimization.
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