Christopher Yau

Var-JEPA: A Variational Formulation of the Joint-Embedding Predictive Architecture - Bridging Predictive and Generative Self-Supervised Learning

The Variational JEPA (Var-JEPA), which makes the latent generative structure explicit by optimizing a single Evidence Lower Bound (ELBO) and yields meaningful representations without ad-hoc anti-collapse regularizers and allows principled uncertainty quantification in the latent space.