Ruxue Wen

Flowing Backwards: Improving Normalizing Flows via Reverse Representation Alignment

Normalizing Flows (NFs) are a class of generative models distinguished by a mathematically invertible architecture, where the forward pass transforms data into a latent space for density estimation, and the reverse pass generates new samples from this space. This characteristic creates an intrinsic