1 code implementation • NeurIPS Workshop TDA_and_Beyond 2020 • Arijit Sehanobish, Neal Ravindra, David van Dijk
In this work, we use a permutation invariant network to map samples from probability measures into a low-dimensional space such that the Euclidean distance between the encoded samples reflects the Wasserstein distance between probability measures.
