arXiv stat.ML
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Statistical Mechanics of Learning on Product Wasserstein Manifolds
arXiv:2608.01434v1 Announce Type: cross Abstract: Normally the statistical mechanics of learning treats constraints on weight distributions as restrictions that shrink the space of possible solutions. Therefore, it reduces model capacity. In this paper we would like to take a contrary approach, which, however, is based