SOTAVerified

global-optimization

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 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
AutoTurb: Using Large Language Models for Automatic Algebraic Model Discovery of Turbulence Closure—0
Saliency Guided Optimization of Diffusion Latents—0
Batched Energy-Entropy acquisition for Bayesian OptimizationCode1
Gaussian Process Thompson Sampling via Rootfinding—0
Large Language Model Aided Multi-objective Evolutionary Algorithm: a Low-cost Adaptive Approach—0
An Overview of the Burer-Monteiro Method for Certifiable Robot Perception—0
ReLoo: Reconstructing Humans Dressed in Loose Garments from Monocular Video in the Wild—0
MRSO: Balancing Exploration and Exploitation through Modified Rat Swarm Optimization for Global Optimization—0
ReLU Surrogates in Mixed-Integer MPC for Irrigation Scheduling—0
Unsupervised Multimodal 3D Medical Image Registration with Multilevel Correlation Balanced OptimizationCode0
FreeAugment: Data Augmentation Search Across All Degrees of FreedomCode0
Optimization-Based Control of Distributed Battery Storage in Distribution Networks—0
WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration—0
Co-Fix3D: Enhancing 3D Object Detection with Collaborative RefinementCode1
Quantifying over Optimum Answer Sets—0
Kernel Sum of Squares for Data Adapted Kernel Learning of Dynamical Systems from Data: A global optimization approach—0
MultiViPerFrOG: A Globally Optimized Multi-Viewpoint Perception Framework for Camera Motion and Tissue Deformation—0
Evaluating Modern Approaches in 3D Scene Reconstruction: NeRF vs Gaussian-Based Methods—0
Learning Optimal Signal Temporal Logic Decision Trees for Classification: A Max-Flow MILP Formulation—0
Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learning—0
Deep Learning without Global Optimization by Random Fourier Neural Networks—0
Stepping Stones: A Progressive Training Strategy for Audio-Visual Semantic SegmentationCode1
Potential Based Diffusion Motion Planning—0
Revisiting Structured Sentiment Analysis as Latent Dependency Graph Parsing—0
GSO-YOLO: Global Stability Optimization YOLO for Construction Site Detection—0
Show:102550
← PrevPage 2 of 14Next →

No leaderboard results yet.