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Bayesian Optimization

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Showing 601–650 of 1900 papers

TitleStatusHype
Convolutional neural network for Lyman break galaxies classification and redshift regression in DESI (Dark Energy Spectroscopic Instrument)—0
Bayesian Hyperparameter Optimization with BoTorch, GPyTorch and Ax—0
Cost-aware Bayesian Optimization—0
Adaptive Local Bayesian Optimization Over Multiple Discrete Variables—0
Bayesian Mesh Optimization for Graph Neural Networks to Enhance Engineering Performance Prediction—0
Cost-Effective Methodology for Complex Tuning Searches in HPC: Navigating Interdependencies and Dimensionality—0
Controller Adaptation via Learning Solutions of Contextual Bayesian Optimization—0
Cost-Sensitive Multi-Fidelity Bayesian Optimization with Transfer of Learning Curve Extrapolation—0
Bayesian Multi-Scale Optimistic Optimization—0
Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization—0
CropCraft: Inverse Procedural Modeling for 3D Reconstruction of Crop Plants—0
Cross-Layer Optimization for Fault-Tolerant Deep Learning—0
Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection—0
An Entropy Search Portfolio for Bayesian Optimization—0
A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-box Design Problems—0
CURE: Simulation-Augmented Auto-Tuning in Robotics—0
Bayesian Optimisation with Formal Guarantees—0
Data Augmentation Policy Search for Long-Term Forecasting—0
Data-Centric Mixed-Variable Bayesian Optimization For Materials Design—0
Data-driven adaptive building thermal controller tuning with constraints: A primal-dual contextual Bayesian optimization approach—0
Bayesian Optimization Allowing for Common Random Numbers—0
Data-Driven Moving Horizon Estimation Using Bayesian Optimization—0
Data-Driven Process Optimization of Fused Filament Fabrication based on In Situ Measurements—0
Data-Efficient Automatic Shaping of Liquid Droplets on an Air-Ferrofluid Interface with Bayesian Optimization—0
Data-efficient Auto-tuning with Bayesian Optimization: An Industrial Control Study—0
Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network—0
Bayesian optimization as a flexible and efficient design framework for sustainable process systems—0
Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue—0
DC and SA: Robust and Efficient Hyperparameter Optimization of Multi-subnetwork Deep Learning Models—0
Bayesian Optimization Assisted Meal Bolus Decision Based on Gaussian Processes Learning and Risk-Sensitive Control—0
An Efficient Framework for Monitoring Subgroup Performance of Machine Learning Systems—0
Controllable Expensive Multi-objective Learning with Warm-starting Bayesian Optimization—0
Decentralized High-Dimensional Bayesian Optimization with Factor Graphs—0
Decreasing the Computing Time of Bayesian Optimization using Generalizable Memory Pruning—0
Bayesian Optimization-Based Beam Alignment for MmWave MIMO Communication Systems—0
Control-Aware Transmit Power Allocation for 6G In-Factory Subnetwork Control Systems—0
Bayesian Hyperparameter Optimization for Ensemble Learning—0
Rapid Discovery of Graphene Nanocrystals Using DFT and Bayesian Optimization with Neural Network Kernel—0
Accelerating material discovery with a threshold-driven hybrid acquisition policy-based Bayesian optimization—0
Deep Evolutionary Learning for Molecular Design—0
DeepEyeNet: Adaptive Genetic Bayesian Algorithm Based Hybrid ConvNeXtTiny Framework For Multi-Feature Glaucoma Eye Diagnosis—0
Continuous surrogate-based optimization algorithms are well-suited for expensive discrete problems—0
Bayesian optimization explains human active search—0
An Online Data-Driven Emergency-Response Method for Autonomous Agents in Unforeseen Situations—0
Deep Kernel and Image Quality Estimators for Optimizing Robotic Ultrasound Controller using Bayesian Optimization—0
Deep Kernels for Optimizing Locomotion Controllers—0
Deep learning enhanced mixed integer optimization: Learning to reduce model dimensionality—0
Continuous-fidelity Bayesian Optimization with Knowledge Gradient—0
Bayesian-Guided Generation of Synthetic Microbiomes with Minimized Pathogenicity—0
Continuous black-box optimization with quantum annealing and random subspace coding—0
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