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global-optimization

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Showing 351–375 of 658 papers

TitleStatusHype
InpaintFusion: Incremental RGB-D Inpainting for 3D Scenes—0
Trust-Region Method with Deep Reinforcement Learning in Analog Design Space Exploration—0
Phase-Only Beam Broadening of Contiguous Uniform Subarrayed Arrays Utilizing Three Metaheuristic Global Optimization Techniques—0
Hyperparameter Optimization via Sequential Uniform DesignsCode1
Particle Swarm Optimized Federated Learning For Industrial IoT and Smart City Services—0
On the implementation of a global optimization method for mixed-variable problemsCode1
Real-time 3D Facial Tracking via Cascaded Compositional LearningCode0
Understanding the wiring evolution in differentiable neural architecture searchCode1
Video Region Annotation with Sparse Bounding Boxes—0
Metaheuristic optimization of power and energy systems: underlying principles and main issues of the 'rush to heuristics'—0
GL-GAN: Adaptive Global and Local Bilevel Optimization model of Image Generation—0
An End-to-End OCR Text Re-organization Sequence Learning for Rich-text Detail Image Comprehension—0
Image-Based Benchmarking and Visualization for Large-Scale Global Optimization—0
Multi-objective and categorical global optimization of photonic structures based on ResNet generative neural networks—0
EOS: a Parallel, Self-Adaptive, Multi-Population Evolutionary Algorithm for Constrained Global Optimization—0
srMO-BO-3GP: A sequential regularized multi-objective constrained Bayesian optimization for design applications—0
Multigrid for Bundle Adjustment—0
High Dimensional Bayesian Optimization Assisted by Principal Component AnalysisCode0
Can Global Optimization Strategy Outperform Myopic Strategy for Bayesian Parameter Estimation?—0
Lifted Disjoint Paths with Application in Multiple Object TrackingCode1
Empirical Study on the Benefits of Multiobjectivization for Solving Single-Objective Problems—0
Airfoil Design Parameterization and Optimization using Bézier Generative Adversarial NetworksCode1
Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization—0
An adaptive stochastic gradient-free approach for high-dimensional blackbox optimizationCode0
Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative Priors—0
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