Yaron Oz

Weak Correlations as the Underlying Principle for Linearization of Gradient-Based Learning Systems

Neural Tangent Kernel Perspective on Parameter-Space Symmetries

Input Space Mode Connectivity in Deep Neural Networks

The Underlying Universal Statistical Structure of Natural Datasets