Fast unsupervised ground metric learning with tree-Wasserstein distance

K. Düsterwald, Samo Hromadka, Makoto Yamada
2/12/2026

No official code found. Best implementation: kiradust/tree-wsv (1 star, MIT, last commit 2025-06-17).

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kiradust/tree-wsvCommunity70%
MIT

Repository for the 2025 ICLR paper "Fast unsupervised ground metric learning with tree-Wasserstein distance."

10PythonMar 1, 20251 years agoMIT

Cite this paper

@article{dsterwald2026fast,
  title  = {Fast unsupervised ground metric learning with tree-Wasserstein distance},
  author = {K. Düsterwald and Samo Hromadka and Makoto Yamada},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:c943d8a6dce6283e53b016a9f3fd0d68fd661035},
  journal = {ICLR 2025 2025}
}

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