Latest Articles for Surrogate Model

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.

This article explores how reinforcement learning can optimize microreactor operations.

Efficient modeling techniques enhance engineering design processes and reduce costs.

Researchers are using LIMO to create specialized molecules for medicine.

Exploring new methods for optimizing quantum communication networks using machine learning.

New research reveals the significance of gravitational waves from merging black holes.

Exploring the role of surrogate models in improving aircraft design efficiency.

Introducing a novel approach to tackle complex optimization challenges in various fields.

Engineers enhance design optimization using surrogate models and Thompson Sampling.

Introducing DUCD, a privacy-focused method to protect DNNs from adversarial attacks.

This article discusses conformal prediction and its role in improving model accuracy.

Researchers are optimizing laser-plasma accelerators using machine learning for better electron beam production.

Research improves predictive modeling for safe nuclear waste storage in rock salt formations.

A look at using Bayesian methods to improve experimental efficiency in various fields.

A new model enhances predictions for complex systems affected by random factors.

A new method to improve sampling in complex Bayesian inverse problems.

Optimizing chemical research using different data sources for faster results.

A new framework simplifies clustering by tailoring solutions to specific needs.

This article investigates the threats posed by poisoning attacks on database systems.

Combining physics models and deep learning to improve predictions and manage uncertainty.

A new method speeds up solving complex equations for real-world applications.

Research on efficient predictions in laser technology shows promise.

Research on modeling combustion behavior in hybrid rockets for improved safety.

Learn how adaptive methods streamline parameter identification in science and engineering.

Fan-array wind tunnels offer new ways to study airflow effectively.