Meet LieGAN: An AI Framework That Uses Generative Adversarial Training To Automatically Discover Equivariances From A Dataset

In deep learning, symmetry is a crucial inductive bias. Convolutional neural networks can use Images with translational symmetry, and permutation symmetry in graphs can be used by graph neural networks. Theoretical research and practical methods for constructing general group equivariant neural networks have seen a recent uptick in interest. Equivariant neural networks provide several advantages, […]

The post Meet LieGAN: An AI Framework That Uses Generative Adversarial Training To Automatically Discover Equivariances From A Dataset appeared first on MarkTechPost.

ai framework bias convolutional neural networks dataset deep learning editors pick framework general generative graph graph neural networks graphs images inductive networks neural networks practical research staff symmetry training