Principal persistence measures compared by MMD yield a scalable, GPU-parallel topological regularizer with claimed continuous gradients, improving GAN image generation and semi-supervised classification.
Stabilizing the unstable output of persistent homology computations
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Towards Scalable Topological Regularizers
Principal persistence measures compared by MMD yield a scalable, GPU-parallel topological regularizer with claimed continuous gradients, improving GAN image generation and semi-supervised classification.