Latest Articles for Optimization

New methods improve accuracy in cryo-electron microscopy for molecular imaging.

Using Echo State Networks for efficient optimization in thermoacoustic systems.

A method for autonomous agents to track dynamic targets during emergencies efficiently.

A new method enhances AI responses by learning from multiple feedback sources.

OptLLM aids users in choosing the best LLMs for budgets and tasks.

Improving performance and stability in complex control systems.

This article proposes a method for selecting games to determine rankings fairly.

A new strategy aims to enhance voltage stability while reducing reactive power use.

CoMERA optimizes AI model training, reducing memory use and time while maintaining accuracy.

A new method enhances efficiency in protein sequence optimization.

Examining methods for optimization and sampling in complex problem settings.

Transitioning from ECDF to EAF improves algorithm performance analysis.

A look at the Inexact Regularized Proximal Newton Method and its significance.

Learn how combining different models improves decision-making processes in complex scenarios.

Discover a method for decentralized optimization that protects user data while improving efficiency.

Designing WEC farms for better energy performance through careful planning and modeling.

A novel approach to managing interconnected nonlinear systems for improved stability and performance.

This study explores how agents communicate through imitation of useful signals.

Exploring the use of quantum computing for efficient mRNA optimization in medicine.

A look at local energy sharing in semi-rural areas.

DOF-GS improves image clarity and allows creative depth of field effects.

A new method enhances safety in reinforcement learning through risk management.

Introducing innovative algorithms for complex optimization challenges.

A new approach to enhance array performance in programming.

New method shows promise in solving complex combinatorial challenges.

Exploring the design and potential of reconfigurable intelligent surfaces in wireless systems.

Learn how Bayesian Last Layer quantifies uncertainty in machine learning predictions.

A new framework integrates wind factors into AAM scheduling and fleet management.

A new method improves quality in additive manufacturing by optimizing design and build order.

SDPRLayer improves robot learning through effective optimization methods.

New methods using machine learning enhance transition state optimization in chemical reactions.

Researchers reveal methods for faster transitions in quantum systems while ensuring stability.

A new system enhances query performance by addressing selectivity estimate issues.

New methods help find integrable systems using machine learning and human expertise.

Local minima and barren plateaus hinder quantum algorithm training.

A method for efficient optimization over the Stiefel manifold using low-dimensional models.

Exploring integrated sensing and communication for enhanced wireless technology in various applications.

HesScale improves efficiency in machine learning by estimating the Hessian diagonal.

DarsakX enables improved design and analysis for X-ray telescopes.

A new method improves optimization of black-box simulators in various fields.