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global-optimization

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Showing 51–75 of 658 papers

TitleStatusHype
An AI-driven framework for rapid and localized optimizations of urban open spaces—0
Balancing Accuracy and Efficiency for Large-Scale SLAM: A Minimal Subset Approach for Scalable Loop ClosuresCode1
Intuitive Analysis of the Quantization-based Optimization: From Stochastic and Quantum Mechanical Perspective—0
Hierarchical Multi-agent Meta-Reinforcement Learning for Cross-channel Bidding—0
Optimizing Hyperparameters for Quantum Data Re-Uploaders in Calorimetric Particle Identification—0
Explicit and Implicit Graduated Optimization in Deep Neural NetworksCode0
Dimensionality Reduction Techniques for Global Bayesian Optimisation—0
MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 SecondsCode4
Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone—0
Global Optimization with A Power-Transformed Objective and Gaussian SmoothingCode0
A Data-Driven Framework for Discovering Fractional Differential Equations in Complex Systems—0
What should a neuron aim for? Designing local objective functions based on information theoryCode1
CBOL-Tuner: Classifier-pruned Bayesian optimization to explore temporally structured latent spaces for particle accelerator tuning—0
A Novel Design Method for Digital FIR/IIR Filters Based on the Shuffle Frog-Leaping Algorithm—0
Permutative redundancy and uncertainty of the objective in deep learning—0
Synergizing Hyper-accelerated Power Optimization and Wavelength-Dependent QoT-Aware Cross-Layer Design in Next-Generation Multi-Band EONs—0
Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs—0
Kernel Looping: Eliminating Synchronization Boundaries for Peak Inference Performance—0
Optimizing Posterior Samples for Bayesian Optimization via RootfindingCode1
Bayesian Optimization for Hyperparameters Tuning in Neural Networks—0
Super Gradient Descent: Global Optimization requires Global Gradient—0
Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation—0
ADAM-SINDy: An Efficient Optimization Framework for Parameterized Nonlinear Dynamical System Identification—0
CLIPtortionist: Zero-shot Text-driven Deformation for Manufactured 3D Shapes—0
Boosting K-means for Big Data by Fusing Data Streaming with Global Optimization—0
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