UR-JEPA: Uniform Rectifiability as a Regularizer for Joint-Embedding Predictive Architectures 事件

UR-JEPA: Uniform Rectifiability as a Regularizer for Joint-Embedding Predictive Architectures arXiv:2606.01443v1 Announce Type: cross Abstract: A central difficulty in training Joint-Embedding Predictive Architectures (JEPAs) is preventing representation collapse. LeJEPA addresses this by enforcing an isotropic Gaussian target on the embeddings via Sketched Isotropic Gaussian Regularization (SIGReg). This target is in tension with the manifold hypothesis, which expects embeddings to concentrate