Neural networks inspired by the Kuratowski embedding theorem approximate Wasserstein-2 distances on MNIST with lower error than baselines.
Lin- earized Wasserstein dimensionality reduction with approximation guarantees.Applied and Computational Harmonic Analysis, 74:101718, 2025
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Deep Kuratowski Embedding Neural Networks for Wasserstein Metric Learning
Neural networks inspired by the Kuratowski embedding theorem approximate Wasserstein-2 distances on MNIST with lower error than baselines.