GLUE orchestrates frozen pre-trained generative models into a system-level design generator that enforces feasibility, performance, and diversity, with data-driven and data-free variants benchmarked on UAV design.
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representative citing papers
A multi-source extension of constrained Max-value Entropy Search for Bayesian optimization incorporates auxiliary data sources to improve early exploration and performance under constraints even with weak correlations.
Bayesian optimization with dimensionality reduction improves Hyperledger Fabric throughput by up to 12% in a 317-dimensional configuration space via an automated Caliper benchmarking loop.
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GLUE: Coordinating Pre-Trained Generative Models for System-Level Design
GLUE orchestrates frozen pre-trained generative models into a system-level design generator that enforces feasibility, performance, and diversity, with data-driven and data-free variants benchmarked on UAV design.
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Constrained Bayesian Optimisation with Multiple Information Sources
A multi-source extension of constrained Max-value Entropy Search for Bayesian optimization incorporates auxiliary data sources to improve early exploration and performance under constraints even with weak correlations.
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Caliper-in-the-Loop: Black-Box Optimization for Hyperledger Fabric Performance Tuning
Bayesian optimization with dimensionality reduction improves Hyperledger Fabric throughput by up to 12% in a 317-dimensional configuration space via an automated Caliper benchmarking loop.