Latest Articles for Optimization

A novel method for addressing complex optimization challenges using data-driven strategies.

New imaging method enhances dynamic scene reconstruction in radio astronomy.

Research focuses on optimizing synthesizers for human vocalizations in various media.

Discover how JCLEC-MO simplifies multi-objective optimization for engineers.

A look into Kernel Logistic Regression's role in predicting human choices.

New techniques improve communication efficiency in distributed model training.

A new method enhances model focus on important features during image classification.

A new algorithm improves the efficiency of decentralized systems with communication delays.

Explore how Adam improves deep learning model training and outperforms gradient descent.

A sensor detects small electric fields at atomic levels, improving material research.

A new method combines prediction and optimization for better decision-making under uncertainty.

A look into matroids and their applications in various fields.

MO-COHDA transforms energy systems with efficient distributed optimization.

Learn how ADMM efficiently solves distributed optimization problems.

A new framework improves task scheduling in real-time systems.

This work analyzes the performance of simplified transformers in forecasting tasks.

This article discusses the essential aspects of constrained reinforcement learning and its real-world applications.

Researchers use light behavior for efficient solutions to complex optimization problems.

A look at mini-batch stochastic subgradient method in optimization.

A new approach enhances vehicle routing efficiency using machine learning techniques.

Two methods for recovering ocean wave profiles from seabed measurements are compared.

New methods improve accuracy in vehicle dynamics estimation using digital twins.

Exploring methods for teamwork among agents in optimization and games over networks.

A fresh approach to tackle barren plateaus in quantum computing optimization.

A framework simplifies peephole optimizations for better performance in Java applications.

This method creates realistic explanations for AI decisions in finance and healthcare.

This article explores methods to improve magnetic fields in toroidal domains for nuclear fusion applications.

A new method enhances variational inference efficiency and accuracy.

A new algorithm enhances vertex enumeration efficiency and reliability in hyperplane arrangements.

A method to study seabed changes using shallow water wave measurements.

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

New shrinkage methods enhance Hessian estimation for machine learning optimization tasks.

A look into Adam's features and its performance in training models.

Examining biases in next-token prediction and their impact on model performance.

Exploring local solutions for variational inequalities in optimization and economics.

A study on optimizing tight-binding models for electronic properties of Janus TMDCs.

MetaOptimize improves model performance by adjusting learning settings dynamically.

This article discusses methods for training two-layer ReLU neural networks efficiently.

A new model improves battery integration in energy systems.

Examining the integration of sensing and communication for future technologies.