58 citations · 110 across the 7 of their papers we have counts for
3 papers · 1 filter
Decreasing the Computing Time of Bayesian Optimization using Generalizable Memory Pruning
Alexander E. Siemenn, Tonio Buonassisi
Bayesian optimization (BO) suffers from long computing times when processing highly-dimensional or large data sets. These long computing times are a result of the Gaussian process…
Fast Bayesian Optimization of Needle-in-a-Haystack Problems using Zooming Memory-Based Initialization (ZoMBI)
Alexander E. Siemenn, Zekun Ren, Qianxiao Li +1
Needle-in-a-Haystack problems exist across a wide range of applications including rare disease prediction, ecological resource management, fraud detection, and material property op…
A Machine Learning and Computer Vision Approach to Rapidly Optimize Multiscale Droplet Generation
Alexander E. Siemenn, Evyatar Shaulsky, Matthew Beveridge +3
Generating droplets from a continuous stream of fluid requires precise tuning of a device to find optimized control parameter conditions. It is analytically intractable to compute…