Latest Articles for Weights

Explore the fascinating Leidenfrost effect and how droplets behave on hot surfaces.

A look at weight-averaged model-merging and its impact on deep learning performance.

This article examines how connection weights evolve over time in graphs.

A new method helps AI models learn without forgetting past knowledge.

A simplified overview of deep learning through deep linear networks.

A new method simplifies pruning deep learning models using principles from physics.

A look at how researchers protect privacy in survey data while sharing insights.

Discover how Khovanov arc algebras reveal connections in mathematics and beyond.

A look into the structure of modules and their simple components.

Learn how Bayesian methods can improve neural network training.

Learn how OPAD and OPAD+ enhance particle-based approximations in various fields.

New methods help AI models safely remove unwanted information.

Discover the fascinating structures of rooted arborescences and covering graphs.

A deep dive into weight multiplicities and their role in Lie algebras.

Neural networks learn from data, transforming how computers make decisions.

A new method streamlines hypernetwork training for faster adaptation and efficiency.