Alex Goessmann

Tensor network representations of discrete maximum entropy distributions via mean polytopes

CompActNets is introduced, a tensor network architecture that subsumes exponential families that represents any maximum entropy distribution in the same architecture by leveraging the geometry of the convex polytope of realizable expectation vectors.