Latest Articles for Optimization

Exploring methods for parameter learning in AI using Probabilistic Answer Set Programming.

Researchers combine VQE and DBQA for better ground state preparation in quantum systems.

Enhancing Policy Mirror Descent with functional acceleration for faster decision-making.

CusADi enhances robotic control by leveraging GPU capabilities for faster computations.

fStress aids in model fitting by measuring distance and optimizing data analysis.

A new method for improving timing in embedded systems using comprehensive design strategies.

A study on improving GPU efficiency through targeted optimization techniques.

A new framework enhances coarse-grained molecular simulations for researchers.

IST-SAT promises faster solutions for complex optimization problems using quantum mechanics.

Explore how randomization enhances algorithm design and performance.

Introducing a flexible model for analyzing changing relationships in networks.

Learn how VLS offers fresh solutions to complex problems.

A new method enhances accuracy in counting objects in generated images.

Discovering methods to optimize binary matroids through effective algorithm design.

New developments aim to improve quantum state preparation efficiency.

A new framework improves Vision Transformers' energy efficiency for AI applications.

A new method for designing stellarator coils improves efficiency and control.

Improving stability and accuracy in RBF interpolation through innovative parameter selection.

A look at new methods for solving complex quantum few-body systems.

A new approach to track activities in cislunar space for safer exploration.

A fresh method reduces neural network size while preserving performance.

A new framework optimizes queries across relational and graph data.

Galley simplifies programming with sparse tensors, enhancing efficiency and performance.

Exploring how multi-task learning affects model performance and generalization.

New algorithms combine quantum computing and classical methods to speed up calculations.

Combining optimization strategies improves learning in reinforcement learning tasks.

A new machine-learning method improves constraint selection for mixed-integer linear programming.

A new approach to container stowage planning improves efficiency in shipping.

A method for risk-neutral optimization in uncertain environments.

A look at error management techniques in quantum computers.

This method helps manage EV integration into the power grid effectively.

A new approach enhances the merging of satellite images for better analysis.

A look at new methods for solving complex optimization challenges in machine learning.

PySLSQP simplifies nonlinear programming with real-time visualization and automatic derivatives.

This paper discusses methods to optimize experimental design for better efficiency and outcomes.

New methods enhance clarity in storyline drawings by minimizing curve crossings.

Transform dialect offers better control for performance engineers in compiler optimization.

New algorithms enhance integer linear programming efficiency for optimization problems.

Discover how bistable origami structures are transforming engineering design and applications.

A new method using deep learning speeds up stellarator design for fusion energy.