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10/13/2022
A Bayesian Optimization Framework for Finding Local Optima in Expensive Multi-Modal Functions
Bayesian optimization (BO) is a popular global optimization scheme for s...
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07/21/2022
Inference of Regulatory Networks Through Temporally Sparse Data
A major goal in genomics is to properly capture the complex dynamical be...
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02/08/2019
Scalable optimal Bayesian classification of single-cell trajectories under regulatory model uncertainty
Single-cell gene expression measurements offer opportunities in deriving...
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05/30/2018
Sequential Experimental Design for Optimal Structural Intervention in Gene Regulatory Networks Based on the Mean Objective Cost of Uncertainty
Scientists are attempting to use models of ever increasing complexity, e...
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02/24/2017