MixerFlow: MLP-Mixer meets Normalising Flows

arXiv:2310.16777v2 Announce Type: replace-cross
Abstract: Normalising flows are generative models that transform a complex density into a simpler density through the use of bijective transformations enabling both density estimation and data generation from a single model. %However, the requirement for bijectivity imposes the use of specialised architectures. In the context of image modelling, the predominant choice has been the Glow-based architecture, whereas alternative architectures remain largely unexplored in the research community. In this work, we propose a novel architecture called …

abstract architectures arxiv context cs.cv cs.lg data data generation enabling generative generative models however image mlp modelling replace stat.ml through type