Latest Articles for Surrogate Model

A new method corrects machine learning predictions in engineering applications.

A new method combines data-driven techniques with physical principles for better modeling.

New method improves vortex phase mask design efficiency using machine learning.

Explore how FGMs enhance optimization under data constraints.

Research highlights the impact of smoothness on adversarial attacks in image generation.

A new model improves uncertainty quantification in nuclear thermal-hydraulic systems.

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

A new method for improving offline optimization in various fields.

A novel method improves machine learning model security and efficiency.

New model enhances simulation speed and accuracy for engineering applications.

Research highlights new methods to tackle model misspecification and improve prediction reliability.

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

Research explores advanced methods to understand fish swimming and improve design of aquatic robots.

This study enhances draft tube design using machine learning for better hydropower efficiency.

A new method improves surrogate modeling accuracy using physical principles.

New methods improve efficiency and accuracy in complex simulations with uncertainty.

This study assesses the impact of low-fidelity data on surrogate models.

This study assesses surrogate models for efficiency and accuracy in optimization tasks.

A new approach using graph neural networks for efficient multiscale material simulations.

This article explores multi-objective optimization and the MOEA/D approach.

This article discusses techniques for accurately estimating rare event probabilities.

A novel approach enhances design optimization using existing data and learned policies.

A new method enhances efficiency in protein sequence optimization.

A new benchmark enhances offline multi-objective optimization methods across various fields.

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

A novel method improves detection of AI-generated content without access to model data.

A new MCMC method improves efficiency in complex data analysis.

Improving wave energy tech through innovative design and optimization techniques.

This study examines the integration of LLMs in evolutionary algorithms for optimization.

Exploring the role of active learning in drug discovery through molecular docking.

Examining the role of explainable AI in addressing bias.

This study presents a novel method to optimize logistics task assignment using surrogate models.

Introducing SMoRe GloS for better analysis of complex systems with agent-based models.

Introducing a new method for better solutions in complex engineering and robotics tasks.

A look at methods to improve slurry flow management in various industries.

Model merging combines different AI models for improved performance across tasks.

New methods improve accuracy and efficiency in simulations using varying fidelity levels.

A study on using active learning to enhance DNN surrogates for diffusion equations.

A systematic approach for safety analysis in complex systems under uncertainty.

A new method improves predictions in complex systems using deep learning and Gaussian processes.