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global-optimization

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Showing 51–100 of 658 papers

TitleStatusHype
A Geometric Analysis of Neural Collapse with Unconstrained FeaturesCode1
Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional StructureCode1
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual InformationCode1
Pathwise Conditioning of Gaussian ProcessesCode1
Hyperparameter Optimization via Sequential Uniform DesignsCode1
On the implementation of a global optimization method for mixed-variable problemsCode1
Understanding the wiring evolution in differentiable neural architecture searchCode1
Lifted Disjoint Paths with Application in Multiple Object TrackingCode1
Airfoil Design Parameterization and Optimization using Bézier Generative Adversarial NetworksCode1
Learning Sparse Classifiers: Continuous and Mixed Integer Optimization PerspectivesCode1
Tree Search vs Optimization Approaches for Map GenerationCode1
Global Optimization by Basin-Hopping and the Lowest Energy Structures of Lennard-Jones Clusters Containing up to 110 AtomsCode1
A Novel Hybrid Grey Wolf Differential Evolution Algorithm—0
CA-I2P: Channel-Adaptive Registration Network with Global Optimal Selection—0
NeRF-based CBCT Reconstruction needs Normalization and InitializationCode0
Probability-One Optimization of Generalized Rayleigh Quotient Sum For Multi-Source Generalized Total Least-Squares—0
Load-Aware Training Scheduling for Model Circulation-based Decentralized Federated Learning—0
GPU-accelerated Modeling of Biological Regulatory Networks—0
A Hybrid GA LLM Framework for Structured Task OptimizationCode0
Random-key genetic algorithms: Principles and applications—0
A Divide-and-Conquer Approach for Global Orientation of Non-Watertight Scene-Level Point Clouds Using 0-1 Integer OptimizationCode0
Global optimization of graph acquisition functions for neural architecture search—0
Improving LLM-based Global Optimization with Search Space PartitioningCode0
Single Snapshot Distillation for Phase Coded Mask Design in Phase Retrieval—0
ThermoONet -- a deep learning-based small body thermophysical network: applications to modelling water activity of comets—0
Large-Scale Gaussian Splatting SLAM—0
A Generative Neural Annealer for Black-Box Combinatorial Optimization—0
Time-Modulated EM Skins for Integrated Sensing and Communications—0
DiffusionSfM: Predicting Structure and Motion via Ray Origin and Endpoint Diffusion—0
A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation—0
A Graphical Global Optimization Framework for Parameter Estimation of Statistical Models with Nonconvex Regularization Functions—0
Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization—0
Reinforcement learning framework for the mechanical design of microelectronic components under multiphysics constraints—0
SUDO: Enhancing Text-to-Image Diffusion Models with Self-Supervised Direct Preference OptimizationCode0
Regularized infill criteria for multi-objective Bayesian optimization with application to aircraft design—0
Probability Estimation and Scheduling Optimization for Battery Swap Stations via LRU-Enhanced Genetic Algorithm and Dual-Factor Decision SystemCode0
PanopticSplatting: End-to-End Panoptic Gaussian Splatting—0
A Novel Two-Phase Cooperative Co-evolution Framework for Large-Scale Global Optimization with Complex OverlappingCode0
Island-Based Evolutionary Computation with Diverse Surrogates and Adaptive Knowledge Transfer for High-Dimensional Data-Driven OptimizationCode0
From Understanding to Excelling: Template-Free Algorithm Design through Structural-Functional Co-Evolution—0
A Cascading Cooperative Multi-agent Framework for On-ramp Merging Control Integrating Large Language Models—0
Combinatorial Optimization via LLM-driven Iterated Fine-tuning—0
Generative method for aerodynamic optimization based on classifier-free guided denoising diffusion probabilistic model—0
Certifiably Optimal Anisotropic Rotation Averaging—0
Bayesian Optimization for Robust Identification of Ornstein-Uhlenbeck Model—0
BARK: A Fully Bayesian Tree Kernel for Black-box Optimization—0
Deterministic Global Optimization of the Acquisition Function in Bayesian Optimization: To Do or Not To Do?—0
Goat Optimization Algorithm: A Novel Bio-Inspired Metaheuristic for Global Optimization—0
Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management—0
Orthogonal Calibration for Asynchronous Federated Learning—0
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