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global-optimization

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TitleStatusHype
An Improved Structured Mesh Generation Method Based on Physics-informed Neural Networks—0
A Bayesian Optimization Framework for Finding Local Optima in Expensive Multi-Modal FunctionsCode0
Many-body Approximation for Non-negative Tensors—0
Lower Bounds on the Worst-Case Complexity of Efficient Global Optimization—0
A Simple and Powerful Global Optimization for Unsupervised Video Object SegmentationCode1
Global Optimization for Cardinality-constrained Minimum Sum-of-Squares Clustering via Semidefinite ProgrammingCode0
TSFool: Crafting Highly-Imperceptible Adversarial Time Series through Multi-Objective AttackCode1
Fast online ranking with fairness of exposure—0
Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization—0
1D to nD: A Meta Algorithm for Multivariate Global Optimization via Univariate Optimizers—0
Optimistic Optimization of Gaussian Process Samples—0
Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning—0
Seg4Reg+: Consistency Learning between Spine Segmentation and Cobb Angle Regression—0
JVLDLoc: a Joint Optimization of Visual-LiDAR Constraints and Direction Priors for Localization in Driving Scenario—0
Atomistic structure search using local surrogate mode—0
Active Learning Exploration of Transition Metal Complexes to Discover Method-Insensitive and Synthetically Accessible Chromophores—0
Quantization enabled Privacy Protection in Decentralized Stochastic Optimization—0
A Parallel Technique for Multi-objective Bayesian Global Optimization: Using a Batch Selection of Probability of Improvement—0
Bayesian Optimization with Informative Covariance—0
Dynamic Low-Resolution Distillation for Cost-Efficient End-to-End Text Spotting—0
TRIE++: Towards End-to-End Information Extraction from Visually Rich Documents—0
A Simple Novel Global Optimization Algorithm and Its Performance on Some Benchmark Functions—0
Active Distribution System Coordinated Control Method via Artificial Intelligence—0
Assessing Ranking and Effectiveness of Evolutionary Algorithm Hyperparameters Using Global Sensitivity Analysis MethodologiesCode0
Pre-training helps Bayesian optimization tooCode1
Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D CameraCode2
Toward an ImageNet Library of Functions for Global Optimization Benchmarking—0
Structural Entropy Guided Graph Hierarchical PoolingCode1
Scalable First-Order Bayesian Optimization via Structured Automatic DifferentiationCode1
Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring—0
Training Neural Networks using SAT solvers—0
Tensor Train for Global Optimization Problems in Robotics—0
Incremental Recursive Ranking Grouping for Large Scale Global Optimization—0
Efficient Minimax Optimal Global Optimization of Lipschitz Continuous Multivariate Functions—0
ComplexGen: CAD Reconstruction by B-Rep Chain Complex GenerationCode1
Real Time Detection Free Tracking of Multiple Objects Via Equilibrium Optimizer—0
Efficient Antenna Optimization Using a Hybrid of Evolutionary Programing and Particle Swarm Optimization—0
Assessing Streamline Plausibility Through Randomized Iterative Spherical-Deconvolution Informed Tractogram FilteringCode0
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis—0
Forecasting foreign exchange rates with regression networks tuned by Bayesian optimization—0
LAB: A Leader-Advocate-Believer Based Optimization Algorithm—0
An Algebraically Converging Stochastic Gradient Descent Algorithm for Global Optimization—0
Deep Q-learning of global optimizer of multiply model parameters for viscoelastic imaging—0
Quantum open system identification via global optimization: Optimally accurate Markovian models of open systems from time-series dataCode0
Tuning Particle Accelerators with Safety Constraints using Bayesian Optimization—0
Convergence Error Analysis of Reflected Gradient Langevin Dynamics for Globally Optimizing Non-Convex Constrained Problems—0
Neural Part Priors: Learning to Optimize Part-Based Object Completion in RGB-D Scans—0
MMES: Mixture Model based Evolution Strategy for Large-Scale OptimizationCode0
Learning cardiac activation maps from 12-lead ECG with multi-fidelity Bayesian optimization on manifolds—0
Monocular Depth Distribution Alignment with Low ComputationCode1
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