Presentation
Accelerated Gamut Discovery via Massive Parallelization
SessionNumerics & Parallelization
DescriptionThis paper proposes a scalable framework using Bayesian Neural Networks and a novel 2mD acquisition function to efficiently discover gamut boundaries in performance space. Combining NSGA-II's diversity and Bayesian Optimization's efficiency, the method enables large-batch, parallel optimization, outperforming traditional approaches in real-world engineering and fabrication tasks.
Event Type
Technical Paper
TimeWednesday, 13 August 20252:10pm - 2:20pm PDT
LocationWest Building, Rooms 118-120
ACM Digital Library
Journal Papers' PDFs
Conference Papers' PDFs
Conference Papers' PDFs
Session Time & Location
Sunday, 10 August 20256:00pm - 8:45pm PDTWest Building, Ballroom AB
Wednesday, 13 August 20252:00pm - 3:30pm PDTWest Building, Rooms 118-120
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