ConceptSoft Regularization
Soft Regularization
A method that approximately satisfies constraints by encouraging generated results to approach a target within the loss function. In topology-aware generative models it cannot guarantee an exact match to the target persistence diagram and yields only approximately similar results.
Timeline (last 90 days)
Oct 14
Existing topology-aware generative models usually rely on soft regularization, causing the persistence diagrams of generated graphs to only be approximately similar, with no guarantee of exact matching.
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