Deep Kuratowski Embedding Neural Networks for Wasserstein Metric Learning
arXiv:2604.04343v1 Announce Type: new
Abstract: Computing pairwise Wasserstein distances is a fundamental bottleneck in data analysis pipelines. Motivated by the classical Kuratowski embedding theorem, we propose two neural architectures for learning …