L. E. MacDonald

Standard latent diffusion guidance provably samples from the wrong posterior by assuming isotropic uncertainty across latent dimensions—an error resolved by learning time- and input-dependent directional covariances.

Flat minima form a fiber bundle over spheres, revealing new structural insights that could transform our approach to optimizing deep learning models.