Joint Hierarchical Representation Learning of Samples and Features via Informed Tree-Wasserstein Distance

NeurIPSSpotlight2025

Authors: Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon
Venue: NeurIPS 2025
Track: Spotlight

TL;DR

High-dimensional data often exhibit hierarchical structures in both modes: samples and features…

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Topics

representation learning

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