SOTAVerified

Bayesian Optimization

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–300 of 1900 papers

TitleStatusHype
Ambulance Demand Prediction via Convolutional Neural Networks—0
Autonomous sputter synthesis of thin film nitrides with composition controlled by Bayesian optimization of optical plasma emission—0
Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning—0
Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization—0
Adaptation of Engineering Wake Models using Gaussian Process Regression and High-Fidelity Simulation Data—0
A Bayesian Optimization Framework for Neural Network Compression—0
A Machine Learning Approach for Identifying Anatomical Biomarkers of Early Mild Cognitive Impairment—0
Bayesian Optimization of 2D Echocardiography Segmentation—0
AutoMO-Mixer: An automated multi-objective multi-layer perspecton Mixer model for medical image based diagnosis—0
Automating Bayesian optimization with Bayesian optimization—0
Bayesian Optimization of a Lightweight and Accurate Neural Network for Aerodynamic Performance Prediction—0
Automatic Tuning of Tensorflow's CPU Backend using Gradient-Free Optimization Algorithms—0
Automatic tuning of hyper-parameters of reinforcement learning algorithms using Bayesian optimization with behavioral cloning—0
Alleviating Hyperparameter-Tuning Burden in SVM Classifiers for Pulmonary Nodules Diagnosis with Multi-Task Bayesian Optimization—0
Automatic Setting of DNN Hyper-Parameters by Mixing Bayesian Optimization and Tuning Rules—0
Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone—0
A Lipschitz Exploration-Exploitation Scheme for Bayesian Optimization—0
Active Search for Sparse Signals with Region Sensing—0
Automatic Pruning for Quantized Neural Networks—0
Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar—0
Automatic LQR Tuning Based on Gaussian Process Global Optimization—0
Aligning Crowd-sourced Human Feedback for Reinforcement Learning on Code Generation by Large Language Models—0
Active search for Bifurcations—0
Adaptive Linear Embedding for Nonstationary High-Dimensional Optimization—0
Bayesian Optimization of Bilevel Problems—0
Automatic Document Image Binarization using Bayesian Optimization—0
A Learning-Based Tune-Free Control Framework for Large Scale Autonomous Driving System Deployment—0
Active preference learning based on radial basis functions—0
Automatic dimensionality reduction of Twin-in-the-Loop Observers—0
Automatic Configuration for Optimal Communication Scheduling in DNN Training—0
A Learning Based Scheme for Fair Timeliness in Sparse Gossip Networks—0
Bayesian Optimization Meets Laplace Approximation for Robotic Introspection—0
Automated Tuning of Nonlinear Kalman Filters for Optimal Trajectory Tracking Performance of AUVs—0
Automated Materials Discovery Platform Realized: Scanning Probe Microscopy of Combinatorial Libraries—0
A Latent Variable Approach for Non-Hierarchical Multi-Fidelity Adaptive Sampling—0
Automated machine learning for secure key rate in discrete-modulated continuous-variable quantum key distribution—0
Constrained Preferential Bayesian Optimization and Its Application in Banner Ad Design—0
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning—0
Automated discovery of trade-off between utility, privacy and fairness in machine learning models—0
Automated design of nonreciprocal thermal emitters via Bayesian optimization—0
Active Learning of Linear Embeddings for Gaussian Processes—0
Automated Computational Energy Minimization of ML Algorithms using Constrained Bayesian Optimization—0
Automated Circuit Sizing with Multi-objective Optimization based on Differential Evolution and Bayesian Inference—0
AI-Powered Agile Analog Circuit Design and Optimization—0
A Bayesian optimization approach to find Nash equilibria—0
AI-optimized detector design for the future Electron-Ion Collider: the dual-radiator RICH case—0
Automated and Risk-Aware Engine Control Calibration Using Constrained Bayesian Optimization—0
Active Learning and Bayesian Optimization: a Unified Perspective to Learn with a Goal—0
Automated and Holistic Co-design of Neural Networks and ASICs for Enabling In-Pixel Intelligence—0
AI-Assisted Transport of Radioactive Ion Beams—0
Show:102550
← PrevPage 6 of 38Next →

No leaderboard results yet.