Latest Articles for Optimization

SGD-PH combines first-order and second-order methods for better model training performance.

Learn how MLIR's Transform dialect enhances computation efficiency and code clarity.

VISA offers a new way to tackle complex optimization problems using spin models.

A new approach improves atomic interaction descriptors with geodesic distance.

Learn how optimization decomposition simplifies complex problem-solving in various fields.

Convex sets play a crucial role in various mathematical fields and applications.

Learn how direct-search methods help find optimal solutions effectively.

Learn how the Heavy Ball method enhances optimization techniques.

Methods to handle outliers effectively in data analysis.

A new automated method simplifies integrating deep learning kernels into models.

This method simplifies creating new 3D views with limited images.

A new framework improves optimization in machine learning using behavior information.

This study introduces a new training method for AI in cooperative systems.

Exploring advanced methods for sound projection in compression drivers.

A new method enhances the efficiency of deep neural networks through automated optimization.

VSGD combines traditional methods with probabilistic modeling for better deep learning optimization.

A method to reconstruct shapes of obstacles concealed in fluids through boundary measurements.

Exploring PETScML's impact on scientific machine learning through second-order methods.

A novel approach improves distance optimization strategies at singular points.

Geometry-Aware Pareto Set Learning improves efficiency in solving multi-objective problems.

Examining the impact of the independence assumption on machine reasoning and uncertainty.

A new method shows promise for reducing energy in mobile networks.

A look at differential privacy and its application in machine learning.

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.