Latest Articles for Bayesian Optimization

New methods improve visual devices for those with vision loss.

A new method improves efficiency in scientific research using machine learning.

A new algorithm enhances Bayesian optimization for complex problem-solving across various fields.

Robotic ultrasound systems aim to improve medical imaging and accessibility.

Microgrids provide backup power and ensure stability through smart bidding and coordination.

A new method improves machine tuning with safety and data-driven optimization.

A novel method improves Bayesian optimization performance using meta-learning techniques.

Research into prechambers aims to improve gas engine efficiency and reduce emissions.

A new method enhances hyperparameter optimization efficiency in machine learning.

Utilizing transformers enhances Bayesian optimization across diverse datasets.

New methods are improving 3D imaging at the atomic scale for various materials.

Scientists improve material discovery efficiency by integrating expert knowledge with Bayesian optimization.

LCLS-II-HE upgrades utilize machine learning for precise optical alignment and enhanced X-ray experiments.

A novel approach improves Bayesian optimization efficiency and reduces computation time significantly.

New method improves sensor placement for monitoring resident activities.

New cellular designs enhance connectivity for drones and ground users.

This study explores how postprocessing enhances Bayesian optimization efficiency in complex problems.

A new method improves data use in complex optimization problems.

New optimization methods improve power transistor efficiency and design accuracy.

New algorithms improve efficiency in finding materials for various industries.

MPHD improves Bayesian Optimization by using knowledge from different domains for better results.

Exploring effective tuning techniques for automotive vehicle dynamics.

A new method to boost performance in scientific computing using ytopt.

A new approach to improve optimization in complex scenarios using simulations.

A new method combining language models with optimization strategies for improved performance.

A framework for efficient machine learning deployment in network traffic analysis.

New methods enhance disease spread modeling accuracy using contact networks.

This article presents a new method for efficiently tuning robotic control systems.

A new algorithm improves optimization when hyperparameters are unknown.

A new method integrates local search strategies into Bayesian Optimization for complex problems.

A novel approach to optimize experiments despite uncontrollable environmental factors.

Engineers tackle a common issue in gas turbines with adaptive control methods.

A method to improve energy planning under uncertainty.

A new method enhances decision-making in Bayesian optimization, focusing on solution quality.

New methods enhance the design process for DNA and protein sequences.

A new approach combines machine learning with fluid dynamics for enhanced simulations.

Automating beamline alignment improves research efficiency and accuracy in scientific studies.

A new framework improves understanding of Bayesian optimization through Shapley values.

SpikExplorer simplifies the design of energy-efficient Spiking Neural Networks for portable devices.

A new algorithm enhances efficiency in in-context learning for reinforcement learning.