| Derivation of Output Correlation Inferences for Multi-Output (aka Multi-Task) Gaussian Process | Jan 14, 2025 | Bayesian Optimization | —Unverified | 0 |
| Designing Adaptive Neural Networks for Energy-Constrained Image Classification | Aug 5, 2018 | Bayesian OptimizationClassification | —Unverified | 0 |
| Designing a lightweight 1D convolutional neural network with Bayesian optimization for wheel flat detection using carbody accelerations: | Jul 24, 2020 | Bayesian OptimizationFault Diagnosis | —Unverified | 0 |
| Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization | Sep 13, 2022 | Bayesian Optimizationglobal-optimization | —Unverified | 0 |
| Designing MacPherson Suspension Architectures using Bayesian Optimization | Jun 17, 2022 | Bayesian Optimization | —Unverified | 0 |
| Designing over uncertain outcomes with stochastic sampling Bayesian optimization | Nov 5, 2019 | Bayesian OptimizationDecision Making | —Unverified | 0 |
| Designing thermal radiation metamaterials via hybrid adversarial autoencoder and Bayesian optimization | Apr 26, 2022 | Bayesian Optimization | —Unverified | 0 |
| Design of Experiments for Verifying Biomolecular Networks | Nov 20, 2020 | Bayesian OptimizationGaussian Processes | —Unverified | 0 |
| Detecting Botnet Attacks in IoT Environments: An Optimized Machine Learning Approach | Dec 16, 2020 | Bayesian OptimizationBIG-bench Machine Learning | —Unverified | 0 |
| An Efficient Batch Constrained Bayesian Optimization Approach for Analog Circuit Synthesis via Multi-objective Acquisition Ensemble | Jun 28, 2021 | Bayesian Optimizationvalid | —Unverified | 0 |
