Analyzing Neural Tangent Kernel Variance in Implicit Neural Representations
Published:Dec 17, 2025 08:06
•1 min read
•ArXiv
Analysis
This ArXiv paper likely delves into the theoretical aspects of implicit neural representations, focusing on the variance of the Neural Tangent Kernel (NTK). Understanding NTK variance is crucial for comprehending the training dynamics and generalization properties of these models.
Key Takeaways
- •Focuses on NTK variance within implicit neural representations.
- •Aims to provide theoretical insights into training and generalization.
- •Potentially relevant for improving model stability and performance.
Reference
“The paper examines the variance of the Neural Tangent Kernel (NTK).”