Barron Optimal Transport I: Generative Modeling
The Barron transport metric measures neural network complexity by linking transport efficiency to network size. The study found that standard denoising transports are suboptimal for complex data structures, suggesting deeper models are needed. A new sampler is provably useful for finding hidden directions and achieving fast convergence in certain cases.