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global-optimization

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Showing 351–400 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
An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design—0
CoolMomentum: A Method for Stochastic Optimization by Langevin Dynamics with Simulated AnnealingCode0
Global Optimization of Gaussian processes—0
Upper Trust Bound Feasibility Criterion for Mixed Constrained Bayesian Optimization with Application to Aircraft Design—0
Nonlinear Dynamic Systems Parameterization Using Interval-Based Global Optimization: Computing Lipschitz Constants and BeyondCode0
Initial Design Strategies and their Effects on Sequential Model-Based OptimizationCode0
Regret and Belief Complexity Trade-off in Gaussian Process Bandits via Information Thresholding—0
Cost-aware Bayesian Optimization—0
Learning to be Global Optimizer—0
Composition of kernel and acquisition functions for High Dimensional Bayesian Optimization—0
Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search—0
Towards Solving Large-scale Expensive Optimization Problems Efficiently Using Coordinate Descent Algorithm—0
StochasticRank: Global Optimization of Scale-Free Discrete Functions—0
Generalized Self-Adapting Particle Swarm Optimization algorithm with archive of samples—0
Efficient Rollout Strategies for Bayesian OptimizationCode0
Practical Bayesian Optimization of Objectives with Conditioning Variables—0
Shallow2Deep: Indoor Scene Modeling by Single Image Understanding—0
Analysis of performance criteria for optimization based bearing only target tracking algorithms—0
Scalable Constrained Bayesian Optimization—0
Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting—0
A Novel Evolution Strategy with Directional Gaussian Smoothing for Blackbox OptimizationCode0
Geocoding of trees from street addresses and street-level images—0
Uncertainty Quantification for Bayesian Optimization—0
A Difference-of-Convex Programming Approach With Parallel Branch-and-Bound For Sentence Compression Via A Hybrid Extractive Model—0
Consensus-Based Optimization on Hypersurfaces: Well-Posedness and Mean-Field Limit—0
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