Latest Articles for MLPs

Applying graph neural networks enhances supply chain management and demand forecasting accuracy.

CF-KAN enhances recommendation systems by overcoming forgetting and adapting to user preferences.

Researchers utilize M3GNet for efficient predictions in material behavior.

An evaluation of KANs for tasks in high-energy physics.

CrossGR enhances product recommendations across markets using innovative graph technology.

This study analyzes the performance of KANs in continual learning using the MNIST dataset.

This article discusses neural networks that effectively blend approximation and generalization.

This article explores how statistical physics aids in understanding neural network learning.

Combining technology and methods to improve disease detection in capsule endoscopy.

NumGrad-Pull efficiently reconstructs surfaces from 3D point clouds with improved detail.

KANs offer flexibility and adaptability in image recognition tasks.

Innovative models inspired by biology reshape energy-efficient network traffic prediction.